diff --git "a/gmm_point_tracking_with_centroids.csv" "b/gmm_point_tracking_with_centroids.csv"
--- "a/gmm_point_tracking_with_centroids.csv"
+++ "b/gmm_point_tracking_with_centroids.csv"
@@ -1,1001 +1,1001 @@
-iteration,point_id,x,y,cluster,centroid_x,centroid_y,probabilities,id,title,keywords,rating_avg,confidence_avg,author,aff,position,site,github,pdf,openreview,poster
-1,0,0.08799766,-0.06060414,0,0.04592027600134834,0.004652675863308072,"[0.9610000020148031, 0.0036101233088717995, 7.72417411803021e-12, 0.03536290162418439, 2.697304441648884e-05]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-1,1,-0.08406016,0.2851326,2,-0.09399681602352898,0.3334173716850977,"[0.0032659950178664447, 9.674464378693313e-17, 0.9942752758117072, 4.324628379884822e-13, 0.002458729169993784]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-1,2,-0.16364236,-0.11411294,4,-0.21850191112381967,-0.004302541343377307,"[0.32233174048731567, 1.909954497691898e-07, 1.0319537967163742e-10, 0.06317067208854182, 0.6144973963254974]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-1,3,0.07371062,-0.27021888,3,-0.1311631712723375,-0.28463581165563745,"[0.10367272859160921, 0.14631356239915883, 9.005220360805688e-24, 0.7500136597245377, 4.928469434669066e-08]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-1,4,-0.1284643,0.3103237,2,-0.09399681602352898,0.3334173716850977,"[0.0003224283552737136, 1.474986441194567e-19, 0.9986732951649601, 4.632228587330358e-15, 0.001004276479761642]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-1,5,-0.23808402,0.26056772,2,-0.09399681602352898,0.3334173716850977,"[8.552755778850757e-05, 1.636993024538528e-21, 0.9906472779799465, 2.176526971298093e-14, 0.0092671944622432]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-1,6,-0.10493148,-0.30384988,3,-0.1311631712723375,-0.28463581165563745,"[0.047221013204990066, 0.0002848157624912368, 6.525928147428476e-23, 0.9524209402134818, 7.323081903706098e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-1,7,-0.295713,-0.42771262,3,-0.1311631712723375,-0.28463581165563745,"[0.005259129124738324, 1.4069793709380055e-06, 5.700181925132596e-28, 0.9947261888465835, 1.3275049307222582e-05]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-1,8,-0.3188932,-0.023905918,4,-0.21850191112381967,-0.004302541343377307,"[0.00472881192788093, 2.5980413326266375e-14, 6.239642665604645e-06, 2.0895699138269544e-05, 0.9952440527302892]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-1,9,0.52375084,0.03593809,1,0.40261197255458847,-0.08318364083571851,"[0.00010751321889685142, 0.9998920594071498, 5.572186481549969e-17, 4.2737395327678336e-07, 2.3328507267174085e-26]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-1,10,-0.24769914,0.06194072,4,-0.21850191112381967,-0.004302541343377307,"[0.006236343880692106, 1.2033773478392555e-14, 0.0006284588481700384, 4.4039671729755225e-07, 0.9931347568744087]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-1,11,0.45866024,0.07679337,1,0.40261197255458847,-0.08318364083571851,"[0.004789577074593344, 0.9952075616560121, 6.050415165331628e-13, 2.8612687894952684e-06, 3.120589578683671e-21]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-1,12,-0.21952832,-0.2596673,3,-0.1311631712723375,-0.28463581165563745,"[0.07127129555808932, 1.2633519665545733e-06, 6.724970057911959e-18, 0.9111330421871165, 0.017594398902827598]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-1,13,0.5387558,-0.021885695,1,0.40261197255458847,-0.08318364083571851,"[1.4774489013496798e-05, 0.9999847920885987, 1.1845671195984715e-20, 4.334223877752761e-07, 2.4962729196524225e-28]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-1,14,-0.31746334,-0.03755091,4,-0.21850191112381967,-0.004302541343377307,"[0.005726122721549833, 6.926503508842367e-14, 2.0724985147437775e-06, 4.743053884860861e-05, 0.9942243742410175]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-1,15,0.21572201,0.15297481,0,0.04592027600134834,0.004652675863308072,"[0.9997382412285086, 0.00022492052092407046, 3.254079281824419e-05, 4.281899492774582e-06, 1.555825628727213e-08]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-1,16,-0.17784788,-0.16018736,4,-0.21850191112381967,-0.004302541343377307,"[0.33351309216588193, 7.210986196262135e-07, 1.1015125835204239e-12, 0.29616321114666644, 0.3703229755877306]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-1,17,0.12485067,-0.17534988,3,-0.1311631712723375,-0.28463581165563745,"[0.35969524678899134, 0.24945115311311714, 1.336528123427154e-18, 0.3908535182000549, 8.189783658746366e-08]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-1,18,-0.045080878,-0.32160506,3,-0.1311631712723375,-0.28463581165563745,"[0.04562771302136759, 0.003851214224858593, 3.587565445717475e-25, 0.950518240880963, 2.831872810621381e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-1,19,-0.29219365,-0.1354431,4,-0.21850191112381967,-0.004302541343377307,"[0.03988952455276641, 1.941668455013209e-10, 2.7439085130769777e-10, 0.01701592832211219, 0.9430945466565637]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-1,20,0.22983314,0.005944166,0,0.04592027600134834,0.004652675863308072,"[0.8726510071091341, 0.1236175974226023, 6.397277890466351e-11, 0.0037313936783736337, 1.725917295764124e-09]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-1,21,-0.2313607,0.15489271,4,-0.21850191112381967,-0.004302541343377307,"[0.005415360369404412, 1.1773901720972085e-16, 0.18869304900753484, 1.8474717090081445e-09, 0.8058915887755889]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-1,22,0.44196302,-0.22339565,1,0.40261197255458847,-0.08318364083571851,"[9.252365565376698e-06, 0.9999716321016106, 1.0635862808138545e-30, 1.9115532824036688e-05, 1.825476793420965e-25]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-1,23,0.31953293,-0.23248373,1,0.40261197255458847,-0.08318364083571851,"[0.00039576522117051703, 0.9985528973984195, 7.338681148388485e-28, 0.0010513373804100139, 1.9664526729881777e-18]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-1,24,0.0025802255,-0.08199731,0,0.04592027600134834,0.004652675863308072,"[0.9318091882181055, 0.00020624808115773466, 1.5882418822627e-11, 0.06517485557460803, 0.002809708110246239]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-1,25,0.023439856,-0.079839304,0,0.04592027600134834,0.004652675863308072,"[0.9365120974650514, 0.0004649476329699633, 9.43660473748381e-12, 0.0620863849783889, 0.0009365699141530529]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-1,26,-0.06371302,0.3954228,2,-0.09399681602352898,0.3334173716850977,"[0.00012402458843111796, 9.809417459177354e-21, 0.9998672617000046, 3.707108009713051e-18, 8.713711564161742e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-1,27,-0.2963673,0.015343715,4,-0.21850191112381967,-0.004302541343377307,"[0.004025573496148959, 8.30215531739575e-15, 6.349280583428496e-05, 2.786206062738948e-06, 0.9959081474919457]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-1,28,0.08612508,0.3898904,2,-0.09399681602352898,0.3334173716850977,"[0.005582459458721729, 4.764073000161274e-15, 0.9944173949857597, 1.160172678290867e-15, 1.4555551276842973e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-1,29,-0.20296153,0.2345368,2,-0.09399681602352898,0.3334173716850977,"[0.0008568330877808954, 6.741648899891591e-19, 0.9491985707660823, 1.7748491800779232e-12, 0.04994459614436192]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-1,30,-0.3021013,-0.23802479,3,-0.1311631712723375,-0.28463581165563745,"[0.078216314327577, 2.084693702197382e-08, 5.116143815581607e-15, 0.7496380649648993, 0.1721455998605815]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-1,31,0.40233114,0.06031101,1,0.40261197255458847,-0.08318364083571851,"[0.029252290954653103, 0.9707209776424296, 3.2371448930461047e-12, 2.6731399680118383e-05, 8.104664747159253e-18]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-1,32,-0.31179968,-0.050893012,4,-0.21850191112381967,-0.004302541343377307,"[0.007341226682350194, 2.3370368689936066e-13, 6.089962962811924e-07, 0.00011082469992327721, 0.9925473396211966]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-1,33,0.11298243,0.035079706,0,0.04592027600134834,0.004652675863308072,"[0.9988378758654758, 0.00027571342096332737, 4.173473036602718e-08, 0.000868366435480037, 1.8002543350531202e-05]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-1,34,-0.23456638,0.06657637,4,-0.21850191112381967,-0.004302541343377307,"[0.007942055272435529, 2.337500706355445e-14, 0.0006989851658039866, 4.56362283567183e-07, 0.9913585031994534]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-1,35,0.11017645,-0.16371755,0,0.04592027600134834,0.004652675863308072,"[0.4741398117776026, 0.13388913934504604, 1.284059610475572e-17, 0.39197065652422397, 3.9235312746065776e-07]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-1,36,0.1429859,0.059452157,0,0.04592027600134834,0.004652675863308072,"[0.9992775371382331, 0.000397186511474393, 1.4339323089959214e-07, 0.00032240409466069084, 2.7288624008410396e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-1,37,-0.040502112,0.02318828,0,0.04592027600134834,0.004652675863308072,"[0.9000372974437778, 3.439915724508072e-07, 2.084966519170096e-06, 0.0008261911160259755, 0.09913408248210462]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-1,38,-0.06471333,0.08954511,0,0.04592027600134834,0.004652675863308072,"[0.6500725262364759, 3.166110685424269e-09, 0.0008267806747929298, 2.0590635403637598e-05, 0.34908009928721684]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-1,39,0.06407858,0.09707585,0,0.04592027600134834,0.004652675863308072,"[0.9992848146726905, 1.8826410546362493e-06, 3.6326326982560525e-05, 3.7108356063240894e-05, 0.0006398680032090677]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-1,40,-0.021407472,0.09407413,0,0.04592027600134834,0.004652675863308072,"[0.9324394139594736, 3.1156156027442466e-08, 0.00040286415203111915, 2.7864405126243902e-05, 0.06712982632721294]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-1,41,-0.056248758,0.025906589,0,0.04592027600134834,0.004652675863308072,"[0.8095415164619693, 1.2951827118975427e-07, 4.119305035234441e-06, 0.0006260870059660554, 0.18982814770875808]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-1,42,-0.15132618,0.02146309,4,-0.21850191112381967,-0.004302541343377307,"[0.09832097703664125, 2.0034667043509203e-10, 1.025127196184222e-05, 7.201636967516488e-05, 0.9015967551213753]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-1,43,-0.18518934,0.0027779788,4,-0.21850191112381967,-0.004302541343377307,"[0.04484994091027801, 4.448415250753522e-11, 3.2481227170592724e-06, 7.318670960373645e-05, 0.9550736242129171]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-1,44,0.5118622,-0.024860546,1,0.40261197255458847,-0.08318364083571851,"[3.74033568319175e-05, 0.9999614892812593, 4.268855222649279e-20, 1.1073619088770351e-06, 1.6279031192725568e-26]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-1,45,-0.0018669573,0.3644946,2,-0.09399681602352898,0.3334173716850977,"[0.0014808877216321938, 3.569608427880069e-17, 0.9985099546906303, 9.78862706585379e-16, 9.157587736539737e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-1,46,-0.24925767,0.015651966,4,-0.21850191112381967,-0.004302541343377307,"[0.008751271452824219, 1.904108777336706e-13, 2.239112894203609e-05, 6.651020044086569e-06, 0.9912196863979992]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-1,47,0.2804453,-0.1894261,1,0.40261197255458847,-0.08318364083571851,"[0.0035614229504687296, 0.9916380034659878, 8.837466110939935e-24, 0.0048005735835411805, 2.2093692435076132e-15]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-1,48,0.37225774,-0.11562894,1,0.40261197255458847,-0.08318364083571851,"[0.0007498254771960463, 0.9990431435887542, 1.1307501151102556e-21, 0.00020703093404972542, 3.7721394901521905e-19]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-1,49,0.1460578,0.21914145,0,0.04592027600134834,0.004652675863308072,"[0.9831076641151729, 3.1113500138644485e-07, 0.016889197809427447, 5.898366652629734e-08, 2.7679567319159686e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-1,50,0.07159563,-0.024327766,0,0.04592027600134834,0.004652675863308072,"[0.9902543400816733, 0.0004659921792890681, 5.726409412905504e-10, 0.009145151467489756, 0.00013451569890691372]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-1,51,-0.078428976,-0.18954016,3,-0.1311631712723375,-0.28463581165563745,"[0.35058214083966494, 0.00014133904803836035, 5.765959086196806e-16, 0.6440398252037266, 0.005236694908569497]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-1,52,-0.23586994,0.37846398,2,-0.09399681602352898,0.3334173716850977,"[1.658483445042575e-06, 1.0301760449183459e-26, 0.9999593594170149, 3.975245948143834e-20, 3.8982099540097025e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-1,53,-0.15925287,-0.015642455,4,-0.21850191112381967,-0.004302541343377307,"[0.1122402139109214, 9.520332442980468e-10, 5.792766649490419e-07, 0.000447364983543358, 0.8873118408768372]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-1,54,0.38273144,-0.19184409,1,0.40261197255458847,-0.08318364083571851,"[0.00010553172188101492, 0.9997525732733523, 6.387282078854181e-27, 0.00014189500476657479, 2.971731934177852e-21]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-1,55,-0.029614072,-0.05991212,0,0.04592027600134834,0.004652675863308072,"[0.949739120704459, 2.1694466676259363e-05, 5.31791964972929e-10, 0.02875290431312447, 0.021486279983948538]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-1,56,-0.041920777,-0.1336057,0,0.04592027600134834,0.004652675863308072,"[0.7238206712352738, 0.00017164591827094466, 2.1513184490631107e-13, 0.26841313063485733, 0.007594552211382607]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-1,57,-0.05421332,-0.22073112,3,-0.1311631712723375,-0.28463581165563745,"[0.21018081989458215, 0.0006346498169720431, 2.5293145959971368e-18, 0.7887152364757084, 0.0004692938127373637]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-1,58,-0.19589648,0.09422963,4,-0.21850191112381967,-0.004302541343377307,"[0.01734574539940661, 8.234592657572673e-14, 0.0029285060796302373, 2.514979873569191e-07, 0.9797254970228935]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-1,59,0.09615892,0.18102637,0,0.04592027600134834,0.004652675863308072,"[0.9938977845329359, 1.643325800572644e-07, 0.006006729741668643, 4.290538136549065e-07, 9.48923390016514e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-1,60,-0.013711061,-0.07216554,0,0.04592027600134834,0.004652675863308072,"[0.9461304017945044, 7.08021501013797e-05, 8.298865058434365e-11, 0.04589182991139041, 0.007906966061015298]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-1,61,0.49365819,-0.019841706,1,0.40261197255458847,-0.08318364083571851,"[8.3351353639697e-05, 0.9999146528601249, 2.6366564700931807e-19, 1.9957862352567147e-06, 3.4263057308397865e-25]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-1,62,-0.096782275,0.2680031,2,-0.09399681602352898,0.3334173716850977,"[0.004834549546057942, 1.9946756703523662e-16, 0.9880773253054534, 1.9890990032335366e-12, 0.007088125146499437]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-1,63,-0.07022652,-0.30347943,3,-0.1311631712723375,-0.28463581165563745,"[0.0529787788153205, 0.0011106812629624627, 1.6900370116925454e-23, 0.9458911211944954, 1.941872722150108e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-1,64,-0.08510746,-0.26066056,3,-0.1311631712723375,-0.28463581165563745,"[0.0986930751955586, 0.00032992082896524485, 2.2444436612965276e-20, 0.9007061459475155, 0.00027085802796055744]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-1,65,-0.00251228,0.3769304,2,-0.09399681602352898,0.3334173716850977,"[0.0009856134483468301, 1.0350959196346143e-17, 0.9990092081460763, 2.4125382412088737e-16, 5.178405576737277e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-1,66,0.42614552,0.08994585,1,0.40261197255458847,-0.08318364083571851,"[0.027986402037814207, 0.9720054818462879, 2.556523729917162e-11, 8.11609033242367e-06, 7.364890696769862e-19]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-1,67,0.25132486,-0.20319358,1,0.40261197255458847,-0.08318364083571851,"[0.007100953008434184, 0.9802795209818397, 7.733591691791306e-24, 0.01261952600968582, 4.0194463962538063e-14]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-1,68,-0.18157998,0.03947093,4,-0.21850191112381967,-0.004302541343377307,"[0.035447255799585076, 6.525401405020722e-12, 5.1174239237968217e-05, 9.863040891907582e-06, 0.9644917069137597]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-1,69,-0.12251995,-0.049827244,4,-0.21850191112381967,-0.004302541343377307,"[0.4109120240574529, 9.400013057134155e-08, 2.026991530796236e-08, 0.007406527078839336, 0.5816813345936619]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-1,70,-0.18423451,0.25213403,2,-0.09399681602352898,0.3334173716850977,"[0.0006910578260924498, 5.204461105765133e-19, 0.9776187883273546, 4.699011183152252e-13, 0.02169015384608309]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-1,71,-0.04843812,0.4040603,2,-0.09399681602352898,0.3334173716850977,"[0.00014712045432586855, 1.648419687768669e-20, 0.9998483929645298, 2.4939386452028257e-18, 4.486581144363389e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-1,72,0.25011468,-0.18353273,1,0.40261197255458847,-0.08318364083571851,"[0.011640440433163838, 0.9741714772873222, 1.769324204810824e-22, 0.014188082279391351, 1.2260839818354404e-13]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-1,73,0.24778247,-0.18444899,1,0.40261197255458847,-0.08318364083571851,"[0.012346833246183778, 0.9723062444888793, 1.8050553379002336e-22, 0.015346922264781812, 1.5532078837784284e-13]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-1,74,-0.17648138,-0.41862112,3,-0.1311631712723375,-0.28463581165563745,"[0.011113125040745405, 0.00013548861360206427, 1.3825347979630302e-29, 0.9887485899551346, 2.7963905179526303e-06]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-1,75,-0.16704087,-0.3598848,3,-0.1311631712723375,-0.28463581165563745,"[0.018451430770640737, 6.20226902770278e-05, 1.2418350903778268e-25, 0.9814509349183721, 3.561162071014226e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-1,76,0.61073065,0.018717432,1,0.40261197255458847,-0.08318364083571851,"[2.5375689454557664e-06, 0.9999974361486483, 2.937117193399011e-20, 2.6282406398326138e-08, 6.782642316171068e-33]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-1,77,-0.07488669,0.3827278,2,-0.09399681602352898,0.3334173716850977,"[0.00013023081216295855, 1.2267676376662749e-20, 0.9998514042450997, 9.946609008659554e-18, 1.8364942737468188e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-1,78,0.022653038,0.24370801,2,-0.09399681602352898,0.3334173716850977,"[0.3358917566335536, 4.316739758147992e-11, 0.6620296238396164, 1.7513685342064208e-09, 0.002078617732294135]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-1,79,0.24368975,0.18879418,0,0.04592027600134834,0.004652675863308072,"[0.9996235026270697, 0.00017798774783134985, 0.00019780860665985324, 6.995134340310877e-07, 1.5050052029445228e-09]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-1,80,-0.16938657,-0.05973538,4,-0.21850191112381967,-0.004302541343377307,"[0.14469757949813075, 6.007240228714849e-09, 1.6347392849906497e-08, 0.003671699325283096, 0.8516306988219531]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-1,81,-0.25151917,-0.28693447,3,-0.1311631712723375,-0.28463581165563745,"[0.038626410785205206, 5.19288625174458e-07, 4.1851696382379185e-19, 0.9530239884999264, 0.008349081426243183]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-1,82,0.04577409,-0.24324691,3,-0.1311631712723375,-0.28463581165563745,"[0.16203526820312875, 0.04119355474554887, 1.7574062786915264e-21, 0.7967702054317503, 9.71619572027632e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-1,83,-0.22563006,-0.049784996,4,-0.21850191112381967,-0.004302541343377307,"[0.03140731915304705, 5.89550850682295e-11, 8.650930869747344e-08, 0.0004960609616575806, 0.9680965333170316]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-1,84,-0.20074943,0.040258985,4,-0.21850191112381967,-0.004302541343377307,"[0.02114015665756624, 1.4318886719844231e-12, 6.620649787795047e-05, 5.345058890501094e-06, 0.9787882917842334]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-1,85,-0.1496939,0.30529067,2,-0.09399681602352898,0.3334173716850977,"[0.0002099634238465346, 3.825363432793819e-20, 0.9983741504313117, 3.7223493715876405e-15, 0.0014158861448380763]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-1,86,0.2630342,0.051892787,0,0.04592027600134834,0.004652675863308072,"[0.8969095586566842, 0.10243913673353214, 1.938726808424085e-09, 0.0006513025065655928, 1.6449137266308135e-10]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-1,87,0.61719507,-0.024593957,1,0.40261197255458847,-0.08318364083571851,"[8.093963814521072e-07, 0.9999991576243146, 7.086826132347183e-23, 3.297930387492487e-08, 5.149691432842976e-34]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-1,88,-0.14552048,-0.15470643,0,0.04592027600134834,0.004652675863308072,"[0.45793841257278, 3.1448123855099404e-06, 7.461212352729404e-13, 0.3358936397246549, 0.20616480288943348]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-1,89,0.004352061,-0.07103703,0,0.04592027600134834,0.004652675863308072,"[0.9514458824083626, 0.0001488053151495698, 4.8707978743787935e-11, 0.04525775727218013, 0.003147554955599698]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-1,90,-0.31772932,0.41427824,2,-0.09399681602352898,0.3334173716850977,"[7.08564833781896e-08, 1.5897944191070508e-31, 0.9999969244166157, 3.4570802954802753e-23, 3.0047269011291436e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-1,91,-0.118134014,0.26676714,2,-0.09399681602352898,0.3334173716850977,"[0.002711713876994497, 3.5838605515922544e-17, 0.9882559526268964, 1.0411608362180484e-12, 0.009032333495068172]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-1,92,-0.19037005,0.30377576,2,-0.09399681602352898,0.3334173716850977,"[6.573092556070265e-05, 1.1935295145865115e-21, 0.9984328190596045, 9.465417420060055e-16, 0.0015014500148337734]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-1,93,-0.18803668,0.09546091,4,-0.21850191112381967,-0.004302541343377307,"[0.021280650605673163, 1.4204124879459025e-13, 0.0029688543295641107, 2.9713394697505444e-07, 0.9757501979306737]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-1,94,0.32727078,-0.11709024,1,0.40261197255458847,-0.08318364083571851,"[0.0037048616339198626, 0.9952801768622849, 1.8818125944060974e-20, 0.0010149615037950335, 1.5803896390079842e-16]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-1,95,0.3095995,0.5030761,2,-0.09399681602352898,0.3334173716850977,"[0.029155801384018333, 1.2770913460913923e-11, 0.9708441986032086, 6.251903659179134e-18, 1.9500194566861426e-15]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-1,96,-0.26364937,-0.38828564,3,-0.1311631712723375,-0.28463581165563745,"[0.008661501142037798, 2.1818333532394323e-06, 8.331607810400578e-26, 0.9912724777111682, 6.383931344081974e-05]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-1,97,-0.25224024,-0.31188005,3,-0.1311631712723375,-0.28463581165563745,"[0.024928977427275574, 7.867578056501439e-07, 9.166614095443392e-21, 0.9726624020724675, 0.002407833742451224]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-1,98,-0.30068702,-0.14781809,4,-0.21850191112381967,-0.004302541343377307,"[0.04518947432339692, 2.6401935629135715e-10, 1.1601356334160247e-10, 0.02975578212746277, 0.9250547431691074]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-1,99,-0.09486352,0.005280091,0,0.04592027600134834,0.004652675863308072,"[0.5016294340281147, 3.360494247626654e-08, 1.6079477258197025e-06, 0.0009014394910597637, 0.49746748492815723]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-2,0,0.08799766,-0.06060414,0,0.039475573310242464,-0.0014300409927484566,"[0.9742159109891833, 0.0023829563876505777, 6.763225385029534e-12, 0.023376373579556024, 2.4759036846763157e-05]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-2,1,-0.08406016,0.2851326,2,-0.09406398144692839,0.3336498750304647,"[0.003927816674454897, 1.6409885325387223e-17, 0.9930456424143158, 2.622399474476215e-15, 0.00302654091122658]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-2,2,-0.16364236,-0.11411294,4,-0.21923645191953092,-0.005304814234146388,"[0.37401643029396936, 6.185128055193683e-08, 8.327932311553234e-11, 0.0283212675721654, 0.5976622401993054]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-2,3,0.07371062,-0.27021888,3,-0.12913824906450408,-0.2905951095692693,"[0.11478094802959875, 0.11256777236831036, 6.329734052879696e-24, 0.772651217746616, 6.185547481135791e-08]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-2,4,-0.1284643,0.3103237,2,-0.09406398144692839,0.3336498750304647,"[0.00042665615004759477, 1.8656068844759054e-20, 0.998232560813947, 1.3253893840256027e-17, 0.0013407830360052289]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-2,5,-0.23808402,0.26056772,2,-0.09406398144692839,0.3336498750304647,"[0.00013917897034114712, 1.384088129720557e-22, 0.9881102469479683, 7.27910065577864e-17, 0.011750574081690654]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-2,6,-0.10493148,-0.30384988,3,-0.12913824906450408,-0.2905951095692693,"[0.05801206006468713, 0.00016100452969268982, 4.633001010498968e-23, 0.9417227502971707, 0.00010418510844945022]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-2,7,-0.295713,-0.42771262,3,-0.12913824906450408,-0.2905951095692693,"[0.00952943683299556, 5.672890208625336e-07, 3.6660995750585753e-28, 0.9904436623823201, 2.633349566355698e-05]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-2,8,-0.3188932,-0.023905918,4,-0.21923645191953092,-0.005304814234146388,"[0.008278048555019799, 3.7159270425261095e-15, 5.780784717052156e-06, 2.827415992719698e-06, 0.9917133432442669]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-2,9,0.52375084,0.03593809,1,0.4059581690423063,-0.08272132247167828,"[0.00019479257785407975, 0.9998046280469045, 4.8281576286770543e-17, 5.793752413246048e-07, 1.3304399239478475e-26]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-2,10,-0.24769914,0.06194072,4,-0.21923645191953092,-0.005304814234146388,"[0.009245195294312402, 1.8568135217846878e-15, 0.000598645371574099, 2.9213143957053078e-08, 0.9901561301209677]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-2,11,0.45866024,0.07679337,1,0.4059581690423063,-0.08272132247167828,"[0.007260521616026823, 0.9927367523453322, 5.538727717480374e-13, 2.7260380870660834e-06, 1.9428400200417984e-21]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-2,12,-0.21952832,-0.2596673,3,-0.12913824906450408,-0.2905951095692693,"[0.11113280478891177, 5.300179896765463e-07, 5.654986579172681e-18, 0.8638632670185505, 0.025003398174547838]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-2,13,0.5387558,-0.021885695,1,0.4059581690423063,-0.08272132247167828,"[2.969167170986473e-05, 0.9999695968493594, 9.95639579220232e-21, 7.114789307600287e-07, 1.47949114772179e-28]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-2,14,-0.31746334,-0.03755091,4,-0.21923645191953092,-0.005304814234146388,"[0.009920525652450789, 1.0356748633583014e-14, 1.8996318775239804e-06, 7.432311861868609e-06, 0.9900701424037995]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-2,15,0.21572201,0.15297481,0,0.039475573310242464,-0.0014300409927484566,"[0.9998232431336574, 0.00014487454124798984, 3.102124672306631e-05, 8.484966501208084e-07, 1.2581721372571259e-08]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-2,16,-0.17784788,-0.16018736,0,0.039475573310242464,-0.0014300409927484566,"[0.4211564223031181, 2.576865024414613e-07, 9.053759021549844e-13, 0.17812542573661833, 0.40071789427285553]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-2,17,0.12485067,-0.17534988,3,-0.12913824906450408,-0.2905951095692693,"[0.3895111412742717, 0.19924787447227066, 1.05666158886678e-18, 0.4112408989572936, 8.529616406020211e-08]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-2,18,-0.045080878,-0.32160506,3,-0.12913824906450408,-0.2905951095692693,"[0.05427513007031611, 0.002540998896122515, 2.4672616731155393e-25, 0.9431796682819275, 4.202751634028516e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-2,19,-0.29219365,-0.1354431,4,-0.21923645191953092,-0.005304814234146388,"[0.059880010933306416, 3.980685651448483e-11, 2.1990168517737513e-10, 0.006393401777539391, 0.9337265870294456]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-2,20,0.22983314,0.005944166,0,0.039475573310242464,-0.0014300409927484566,"[0.9005326310659905, 0.09700343006910901, 5.594956926862584e-11, 0.0024639374679209756, 1.3410300503126442e-09]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-2,21,-0.2313607,0.15489271,4,-0.21923645191953092,-0.005304814234146388,"[0.00762675920250902, 1.3959473372181613e-17, 0.17526017315859727, 3.5077281589136796e-11, 0.8171130676038165]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-2,22,0.44196302,-0.22339565,1,0.4059581690423063,-0.08272132247167828,"[1.811605811747664e-05, 0.9999568898598538, 7.909439613564226e-31, 2.4994082028891226e-05, 1.776077747055911e-25]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-2,23,0.31953293,-0.23248373,1,0.4059581690423063,-0.08272132247167828,"[0.0005823043845103451, 0.998123174449402, 5.4515447618313855e-28, 0.001294521166087707, 2.119691030119312e-18]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-2,24,0.0025802255,-0.08199731,0,0.039475573310242464,-0.0014300409927484566,"[0.9585750574350622, 0.00011244566820920094, 1.3684356227155857e-11, 0.03860973578251291, 0.0027027611005313885]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-2,25,0.023439856,-0.079839304,0,0.039475573310242464,-0.0014300409927484566,"[0.9603139723217878, 0.00026859088392364107, 8.1748941043546e-12, 0.03852013311046786, 0.0008973036756457702]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-2,26,-0.06371302,0.3954228,2,-0.09406398144692839,0.3336498750304647,"[0.00015832681121747086, 1.2991360482538464e-21, 0.9998277809242224, 3.3516533764619564e-21, 1.389226456024792e-05]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-2,27,-0.2963673,0.015343715,4,-0.21923645191953092,-0.005304814234146388,"[0.006707380671120672, 1.1774498910424283e-15, 5.996051734963789e-05, 2.652304564321596e-07, 0.9932323935810721]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-2,28,0.08612508,0.3898904,2,-0.09406398144692839,0.3336498750304647,"[0.006039135968265467, 1.2505054113599533e-15, 0.993960664422738, 3.6542341680148255e-18, 1.9960899545001334e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-2,29,-0.20296153,0.2345368,2,-0.09406398144692839,0.3336498750304647,"[0.0012473021225738472, 7.474188593328209e-20, 0.9395821953245285, 1.1724503593598076e-14, 0.05917050255288598]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-2,30,-0.3021013,-0.23802479,3,-0.12913824906450408,-0.2905951095692693,"[0.1483353239002917, 6.390024412056428e-09, 4.579549838270377e-15, 0.6129344182792913, 0.23873025143038815]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-2,31,0.40233114,0.06031101,1,0.4059581690423063,-0.08272132247167828,"[0.04035967701732959, 0.9596166620902009, 3.02734897596908e-12, 2.366088944218851e-05, 5.534136945836771e-18]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-2,32,-0.31179968,-0.050893012,4,-0.21923645191953092,-0.005304814234146388,"[0.012428881550937054, 3.714137815048297e-14, 5.510151308465577e-07, 2.0192657939247486e-05, 0.9875503747759556]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-2,33,0.11298243,0.035079706,0,0.039475573310242464,-0.0014300409927484566,"[0.9994799262349311, 0.00017034908016733087, 3.910932059057257e-08, 0.0003339646252855315, 1.5720950295601428e-05]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-2,34,-0.23456638,0.06657637,4,-0.21923645191953092,-0.005304814234146388,"[0.01143043330942359, 3.7838371580294855e-15, 0.0006664411971790253, 3.0324977081335046e-08, 0.9879030951684165]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-2,35,0.11017645,-0.16371755,0,0.039475573310242464,-0.0014300409927484566,"[0.5036542427759664, 0.10273340920105856, 1.0224948644791255e-17, 0.393611946933996, 4.0108897915595724e-07]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-2,36,0.1429859,0.059452157,0,0.039475573310242464,-0.0014300409927484566,"[0.9996299381849086, 0.0002539966770694234, 1.354366894936439e-07, 0.00011360355842154409, 2.326142911005438e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-2,37,-0.040502112,0.02318828,0,0.039475573310242464,-0.0014300409927484566,"[0.9104127636202253, 1.315782082567583e-07, 1.8666409493190755e-06, 0.00019067365938806196, 0.08939456450122922]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-2,38,-0.06471333,0.08954511,0,0.039475573310242464,-0.0014300409927484566,"[0.6771831077086025, 9.565214957312486e-10, 0.000762972036127159, 2.177683335545285e-06, 0.3220517416154134]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-2,39,0.06407858,0.09707585,0,0.039475573310242464,-0.0014300409927484566,"[0.999375403956107, 9.138692285163876e-07, 3.519145561446205e-05, 6.742796395718543e-06, 0.0005817479226544759]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-2,40,-0.021407472,0.09407413,0,0.039475573310242464,-0.0014300409927484566,"[0.9382968552319743, 1.100854147464985e-08, 0.000374976807326287, 3.433752691449386e-06, 0.061324723199466434]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-2,41,-0.056248758,0.025906589,0,0.039475573310242464,-0.0014300409927484566,"[0.828272592864124, 4.6491837731068864e-08, 3.682737313981689e-06, 0.00013226359902419668, 0.1715914143076998]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-2,42,-0.15132618,0.02146309,4,-0.21923645191953092,-0.005304814234146388,"[0.1197268132921405, 5.326163628535288e-11, 9.632727745948565e-06, 1.152178984420171e-05, 0.8802520321370076]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-2,43,-0.18518934,0.0027779788,4,-0.21923645191953092,-0.005304814234146388,"[0.05799813780998973, 1.0821743269806702e-11, 3.036888968888869e-06, 1.2460878728683357e-05, 0.941986364411491]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-2,44,0.5118622,-0.024860546,1,0.4059581690423063,-0.08272132247167828,"[6.911728866286697e-05, 0.9999291656537656, 3.5760681130524683e-20, 1.7170575716576097e-06, 9.942074035377475e-27]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-2,45,-0.0018669573,0.3644946,2,-0.09406398144692839,0.3336498750304647,"[0.0016894464114364522, 6.933658283022483e-18, 0.9982978259563826, 2.562850915517872e-18, 1.2727632181058723e-05]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-2,46,-0.24925767,0.015651966,4,-0.21923645191953092,-0.005304814234146388,"[0.012985941644033432, 3.3785481129316195e-14, 2.114066907689657e-05, 7.671601466299595e-07, 0.9869921505267092]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-2,47,0.2804453,-0.1894261,1,0.4059581690423063,-0.08272132247167828,"[0.004768142576183978, 0.9890055931347588, 7.01921215073838e-24, 0.006226264289055048, 2.2586070709381615e-15]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-2,48,0.37225774,-0.11562894,1,0.4059581690423063,-0.08272132247167828,"[0.001075750278301771, 0.9986386500368886, 9.171239006429417e-22, 0.0002855996848095593, 3.0461002108791314e-19]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-2,49,0.1460578,0.21914145,0,0.039475573310242464,-0.0014300409927484566,"[0.9831608357001936, 1.5173821444669282e-07, 0.0168364105759333, 3.937585908819002e-09, 2.5980480728663684e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-2,50,0.07159563,-0.024327766,0,0.039475573310242464,-0.0014300409927484566,"[0.994929914090201, 0.00028165881045783214, 5.15834411956318e-10, 0.0046666565483020565, 0.000121770035204639]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-2,51,-0.078428976,-0.18954016,3,-0.12913824906450408,-0.2905951095692693,"[0.4265540391373894, 7.857626257829334e-05, 4.939473030333986e-16, 0.5670245091048298, 0.006342875495201936]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-2,52,-0.23586994,0.37846398,2,-0.09406398144692839,0.3336498750304647,"[3.0242551325855e-06, 5.720328488717381e-28, 0.9999306482212927, 1.3174117616114547e-23, 6.632752357474974e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-2,53,-0.15925287,-0.015642455,4,-0.21923645191953092,-0.005304814234146388,"[0.136759749788367, 2.6626136632417807e-10, 5.292598728423496e-07, 9.906983209917263e-05, 0.8631406508533997]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-2,54,0.38273144,-0.19184409,1,0.4059581690423063,-0.08272132247167828,"[0.00016746255721553763, 0.999641308116767, 4.8333452498584776e-27, 0.00019122932601760295, 2.7513570955409645e-21]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-2,55,-0.029614072,-0.05991212,0,0.039475573310242464,-0.0014300409927484566,"[0.9666258632998229, 1.0146894942567364e-05, 4.5545495037298503e-10, 0.01332292723240976, 0.020041062117369893]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-2,56,-0.041920777,-0.1336057,0,0.039475573310242464,-0.0014300409927484566,"[0.7993950083190501, 9.241467603949222e-05, 1.8398421252231383e-13, 0.19246306317011685, 0.0080495138346095]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-2,57,-0.05421332,-0.22073112,3,-0.12913824906450408,-0.2905951095692693,"[0.24526720640214125, 0.00037912910583828716, 2.020448286169874e-18, 0.7537771514051125, 0.0005765130869080015]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-2,58,-0.19589648,0.09422963,4,-0.21923645191953092,-0.005304814234146388,"[0.02295628940445671, 1.4575930922686406e-14, 0.002791922732283742, 1.398575597521975e-08, 0.974251773877489]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-2,59,0.09615892,0.18102637,0,0.039475573310242464,-0.0014300409927484566,"[0.9939355343264519, 7.457022391443123e-08, 0.005974957988387666, 3.550740977113747e-08, 8.939760752669854e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-2,60,-0.013711061,-0.07216554,0,0.039475573310242464,-0.0014300409927484566,"[0.9681371154299651, 3.589625545913103e-05, 7.130347081465145e-11, 0.024326490386130144, 0.007500497857142351]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-2,61,0.49365819,-0.019841706,1,0.4059581690423063,-0.08272132247167828,"[0.00014525870479059687, 0.9998518016008492, 2.2180389250980566e-19, 2.9396943601156224e-06, 2.122219727463523e-25]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-2,62,-0.096782275,0.2680031,2,-0.09406398144692839,0.3336498750304647,"[0.005866652624733592, 3.359702378958323e-17, 0.9856302178142214, 1.4836390907208402e-14, 0.008503129561030229]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-2,63,-0.07022652,-0.30347943,3,-0.12913824906450408,-0.2905951095692693,"[0.06274671779286695, 0.0006762467420589688, 1.184168661596096e-23, 0.936549672686962, 2.7362778112102613e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-2,64,-0.08510746,-0.26066056,3,-0.12913824906450408,-0.2905951095692693,"[0.11811432857310435, 0.00018851166075680475, 1.6944241685420966e-20, 0.8813424897608213, 0.0003546700053175889]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-2,65,-0.00251228,0.3769304,2,-0.09406398144692839,0.3336498750304647,"[0.0011370156887090057, 1.9334800483174207e-18, 0.9988555404278939, 4.98446157533257e-19, 7.443883397076809e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-2,66,0.42614552,0.08994585,1,0.4059581690423063,-0.08272132247167828,"[0.03980257320039931, 0.960190888033912, 2.4088716438010765e-11, 6.538741599999649e-06, 4.846387754784801e-19]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-2,67,0.25132486,-0.20319358,1,0.4059581690423063,-0.08272132247167828,"[0.00934815838127131, 0.9745346700891311, 6.170821294764683e-24, 0.016117171529553727, 4.3650583108704646e-14]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-2,68,-0.18157998,0.03947093,4,-0.21923645191953092,-0.005304814234146388,"[0.045869719178785934, 1.465262079700161e-12, 4.874704742230896e-05, 1.1543727600560028e-06, 0.9540803793995662]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-2,69,-0.12251995,-0.049827244,4,-0.21923645191953092,-0.005304814234146388,"[0.4531087676735577, 3.124722597448691e-08, 1.732490709062673e-08, 0.0023822649411245522, 0.5445089188131846]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-2,70,-0.18423451,0.25213403,2,-0.09406398144692839,0.3336498750304647,"[0.0009796993362744789, 6.00950955066306e-20, 0.972619840087881, 2.5977728586711945e-15, 0.026400460575841816]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-2,71,-0.04843812,0.4040603,2,-0.09406398144692839,0.3336498750304647,"[0.00018506692686597729, 2.2890926584605908e-21, 0.999807682929163, 2.137602863615527e-21, 7.2501439709377115e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-2,72,0.25011468,-0.18353273,1,0.4059581690423063,-0.08272132247167828,"[0.01510484488277155, 0.9666113546046534, 1.4464071484495505e-22, 0.018283800512446467, 1.2865386155907796e-13]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-2,73,0.24778247,-0.18444899,1,0.4059581690423063,-0.08272132247167828,"[0.016001570910928232, 0.9642413974912288, 1.4764738211309897e-22, 0.0197570315976791, 1.6368814546070104e-13]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-2,74,-0.17648138,-0.41862112,3,-0.12913824906450408,-0.2905951095692693,"[0.017564500232216545, 8.092343292663879e-05, 9.453209040113593e-30, 0.9823485744273941, 6.0019074626122585e-06]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-2,75,-0.16704087,-0.3598848,3,-0.12913824906450408,-0.2905951095692693,"[0.02554738023554951, 3.261997012913786e-05, 8.455697518787752e-26, 0.9743607168359676, 5.928295835384507e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-2,76,0.61073065,0.018717432,1,0.4059581690423063,-0.08272132247167828,"[6.358428009654109e-06, 0.999993593550662, 2.5559783684499308e-20, 4.802132840511548e-08, 3.5911731847484946e-33]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-2,77,-0.07488669,0.3827278,2,-0.09406398144692839,0.3336498750304647,"[0.00016712937592849124, 1.6011287207791974e-21, 0.9998044095021752, 1.0614729348185879e-20, 2.8461121896292746e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-2,78,0.022653038,0.24370801,2,-0.09406398144692839,0.3336498750304647,"[0.3456766897516464, 1.2803637515941766e-11, 0.6521339751537194, 4.01495997637833e-11, 0.0021893350416809926]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-2,79,0.24368975,0.18879418,0,0.039475573310242464,-0.0014300409927484566,"[0.9996995642537556, 0.00011363138252998846, 0.00018669635089462087, 1.068179927670731e-07, 1.194826970864748e-09]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-2,80,-0.16938657,-0.05973538,4,-0.21923645191953092,-0.005304814234146388,"[0.1748456223855042, 1.7495688647637605e-09, 1.4204267935172173e-08, 0.0011272570613687248, 0.8240271045992903]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-2,81,-0.25151917,-0.28693447,3,-0.12913824906450408,-0.2905951095692693,"[0.06327494063864136, 2.0140553644156779e-07, 3.363668972251565e-19, 0.924490882449458, 0.012233975506364271]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-2,82,0.04577409,-0.24324691,3,-0.12913824906450408,-0.2905951095692693,"[0.17246996961967656, 0.029145073549320496, 1.2579872236323936e-21, 0.798383818792796, 1.1380382068667375e-06]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-2,83,-0.22563006,-0.049784996,4,-0.21923645191953092,-0.005304814234146388,"[0.04307048078353972, 1.3642431337081415e-11, 7.747795051176544e-08, 0.00011913338371583164, 0.9568103083411515]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-2,84,-0.20074943,0.040258985,4,-0.21923645191953092,-0.005304814234146388,"[0.028389197313597403, 2.949672757534424e-13, 6.309110787926133e-05, 5.714056080422062e-07, 0.9715471401726203]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-2,85,-0.1496939,0.30529067,2,-0.09406398144692839,0.3336498750304647,"[0.0002885956387610506, 4.420066259804819e-21, 0.99781915360278, 1.0068416539741652e-17, 0.0018922507584588418]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-2,86,0.2630342,0.051892787,0,0.039475573310242464,-0.0014300409927484566,"[0.9203500047849309, 0.0792980561303378, 1.6959746910254549e-09, 0.0003519372690597592, 1.196968865137672e-10]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-2,87,0.61719507,-0.024593957,1,0.4059581690423063,-0.08272132247167828,"[2.2203662667210328e-06, 0.999997713270425, 6.130385839203502e-23, 6.636330839594962e-08, 2.8921521138852266e-34]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-2,88,-0.14552048,-0.15470643,0,0.039475573310242464,-0.0014300409927484566,"[0.5608640708206777, 1.265431261614317e-06, 6.261088885444142e-13, 0.2136629561005151, 0.22547170764691965]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-2,89,0.004352061,-0.07103703,0,0.039475573310242464,-0.0014300409927484566,"[0.9717347349025288, 7.98487719144828e-05, 4.215429821298285e-11, 0.02519784207661062, 0.0029875742067919423]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-2,90,-0.31772932,0.41427824,2,-0.09406398144692839,0.3336498750304647,"[1.7468270535689486e-07, 4.624998460667027e-33, 0.9999938312917651, 2.637067452940727e-27, 5.9940255294267965e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-2,91,-0.118134014,0.26676714,2,-0.09406398144692839,0.3336498750304647,"[0.003409160268867902, 5.479186239945597e-18, 0.9856478585710803, 6.898823759349765e-15, 0.01094298116004486]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-2,92,-0.19037005,0.30377576,2,-0.09406398144692839,0.3336498750304647,"[9.865375000317971e-05, 1.121316411640553e-22, 0.997857223008955, 1.978593721942353e-18, 0.0020441232410419855]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-2,93,-0.18803668,0.09546091,4,-0.21923645191953092,-0.005304814234146388,"[0.0277384806354432, 2.5978271466186208e-14, 0.002832114589904731, 1.6898847307547048e-08, 0.9694293878757788]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-2,94,0.32727078,-0.11709024,1,0.4059581690423063,-0.08272132247167828,"[0.004975852468924192, 0.9936838693126712, 1.566282838532476e-20, 0.001340278218404488, 1.3556485339624732e-16]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-2,95,0.3095995,0.5030761,2,-0.09406398144692839,0.3336498750304647,"[0.03557554978157922, 5.6824701608473075e-12, 0.9644244502127353, 1.3783923673135096e-20, 2.8818608000840868e-15]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-2,96,-0.26364937,-0.38828564,3,-0.12913824906450408,-0.2905951095692693,"[0.01413837926221077, 8.986299085767119e-07, 5.519665111092896e-26, 0.9857489438429948, 0.00011177826488577164]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-2,97,-0.25224024,-0.31188005,3,-0.12913824906450408,-0.2905951095692693,"[0.039796150410519926, 3.0696963752663507e-07, 6.905092277432929e-21, 0.9566086090080407, 0.0035949336118018074]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-2,98,-0.30068702,-0.14781809,4,-0.21923645191953092,-0.005304814234146388,"[0.0687396093112248, 5.343662862654224e-11, 9.14319520862814e-11, 0.011867330242027062, 0.9193930603018796]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-2,99,-0.09486352,0.005280091,0,0.039475573310242464,-0.0014300409927484566,"[0.5399216711664923, 1.1080029585200955e-08, 1.4356773993343255e-06, 0.00020120136132984888, 0.45987568071474905]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-3,0,0.08799766,-0.06060414,0,-0.021818669456215873,-0.028750621731858213,"[0.993771662800881, 0.0025016615733903552, 1.7438575686744914e-11, 0.003726675603356284, 4.9334968875397585e-12]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-3,1,-0.08406016,0.2851326,2,-0.09314563798165282,0.33283001926748096,"[0.0016733795750339827, 3.000808886939506e-17, 0.9971294611521164, 3.983171292190358e-32, 0.001197159272849617]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-3,2,-0.16364236,-0.11411294,0,-0.021818669456215873,-0.028750621731858213,"[0.9759540344325401, 3.480006469829945e-08, 1.3929676229975118e-10, 4.9193223251769097e-05, 0.02399673740484677]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-3,3,0.07371062,-0.27021888,3,-0.08980835503411871,-0.2976746221090999,"[0.02144780554164734, 0.05455625745180626, 1.811323235545678e-23, 0.9239959370065464, 1.76300222394954e-19]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-3,4,-0.1284643,0.3103237,2,-0.09314563798165282,0.33283001926748096,"[0.0001359674415442492, 3.813999250138418e-20, 0.9994067670373502, 2.5992704284274856e-37, 0.0004572655211055619]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-3,5,-0.23808402,0.26056772,2,-0.09314563798165282,0.33283001926748096,"[6.483944443486991e-05, 2.321858700613881e-22, 0.9977483012314676, 4.132532717429214e-37, 0.0021868593240975975]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-3,6,-0.10493148,-0.30384988,3,-0.08980835503411871,-0.2976746221090999,"[0.05538531606234793, 7.569379902660727e-05, 1.4735119117497267e-22, 0.9445389899682625, 1.703628454578567e-10]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-3,7,-0.295713,-0.42771262,3,-0.08980835503411871,-0.2976746221090999,"[0.0365959486284253, 1.4485262344662717e-07, 1.2317011390765834e-27, 0.9634039019635671, 4.555384098302213e-09]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-3,8,-0.3188932,-0.023905918,4,-0.23827357807955385,0.015330147288842468,"[0.03935788697820266, 1.9851460902825308e-15, 6.592410281439108e-06, 2.3632299639067007e-14, 0.9606355206114903]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-3,9,0.52375084,0.03593809,1,0.4100005811865301,-0.07971517569033945,"[0.00011501647465854207, 0.9998251512373487, 1.3681862745281808e-16, 5.983228799254427e-05, 3.507910206854737e-53]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-3,10,-0.24769914,0.06194072,4,-0.23827357807955385,0.015330147288842468,"[0.01652047387440431, 1.139213346861057e-15, 0.0005193929954225899, 1.892457419483475e-18, 0.982960133130172]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-3,11,0.45866024,0.07679337,1,0.4100005811865301,-0.07971517569033945,"[0.005705980061163481, 0.9942518445812905, 1.198426617179299e-12, 4.217535634778559e-05, 2.1265393171655177e-42]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-3,12,-0.21952832,-0.2596673,0,-0.021818669456215873,-0.028750621731858213,"[0.7138428941585161, 4.035076245628944e-07, 2.4929565709668386e-17, 0.2859415218989385, 0.00021518043492072962]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-3,13,0.5387558,-0.021885695,1,0.4100005811865301,-0.07971517569033945,"[9.845183215721587e-06, 0.9999072042069748, 3.609089067240402e-20, 8.295060980963218e-05, 2.028623849851483e-58]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-3,14,-0.31746334,-0.03755091,4,-0.23827357807955385,0.015330147288842468,"[0.04927962589006659, 5.245389988271912e-15, 2.1804028762017816e-06, 2.1737164988948009e-13, 0.9507181937068346]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-3,15,0.21572201,0.15297481,0,-0.021818669456215873,-0.028750621731858213,"[0.9997754093299166, 0.00018030676393635615, 4.4283757727165995e-05, 1.484192525091706e-10, 6.871984700486052e-16]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-3,16,-0.17784788,-0.16018736,0,-0.021818669456215873,-0.028750621731858213,"[0.9917897910964747, 1.0881385532620241e-07, 1.3970423824975271e-12, 0.0016436614567810835, 0.006566438631491905]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-3,17,0.12485067,-0.17534988,3,-0.08980835503411871,-0.2976746221090999,"[0.1121947013131278, 0.11762990816516515, 2.5219751689830354e-18, 0.7701753905217071, 7.033507473375178e-19]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-3,18,-0.045080878,-0.32160506,3,-0.08980835503411871,-0.2976746221090999,"[0.02439050282236457, 0.0012341005092974925, 8.697041971178047e-25, 0.974375396668309, 2.8989663426674406e-14]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-3,19,-0.29219365,-0.1354431,4,-0.23827357807955385,0.015330147288842468,"[0.45458149542012877, 2.1083955142509615e-11, 4.0239914165031277e-10, 9.401850707205986e-07, 0.5454175639713175]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-3,20,0.22983314,0.005944166,0,-0.021818669456215873,-0.028750621731858213,"[0.8640094258282316, 0.13449916434720963, 1.6191005502087765e-10, 0.0014914096626486109, 2.3665528877197037e-20]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-3,21,-0.2313607,0.15489271,4,-0.23827357807955385,0.015330147288842468,"[0.009863590144714877, 1.6736721172875307e-17, 0.1980600163531629, 3.1908526277715646e-25, 0.7920763935021223]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-3,22,0.44196302,-0.22339565,1,0.4100005811865301,-0.07971517569033945,"[6.569928740609004e-07, 0.9999783858885909, 5.3325697050848065e-30, 2.0957118534852716e-05, 9.597197809785257e-57]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-3,23,0.31953293,-0.23248373,1,0.4100005811865301,-0.07971517569033945,"[4.211367924738491e-05, 0.9975905635471246, 3.2668757204557336e-27, 0.0023673227736280772, 1.311763231685419e-41]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-3,24,0.0025802255,-0.08199731,0,-0.021818669456215873,-0.028750621731858213,"[0.9986543582598367, 7.880206873446642e-05, 2.4893898455243172e-11, 0.0012667629227276157, 7.672380742056689e-08]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-3,25,0.023439856,-0.079839304,0,-0.021818669456215873,-0.028750621731858213,"[0.9976569576650285, 0.00021116305888600138, 1.6636020014525046e-11, 0.002131871708979866, 7.550469576566966e-09]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-3,26,-0.06371302,0.3954228,2,-0.09314563798165282,0.33283001926748096,"[2.5900065942041327e-05, 3.6750550656024025e-21, 0.9999722873111625, 4.649406970397444e-44, 1.8126228954264717e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-3,27,-0.2963673,0.015343715,4,-0.23827357807955385,0.015330147288842468,"[0.021302094236399595, 6.695326774793056e-16, 6.038953514239446e-05, 1.560008560108638e-16, 0.9786375162284573]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-3,28,0.08612508,0.3898904,2,-0.09314563798165282,0.33283001926748096,"[0.0019120022307325978, 3.146840168433315e-15, 0.9980879949741536, 1.6153565250408798e-35, 2.795110765786301e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-3,29,-0.20296153,0.2345368,2,-0.09314563798165282,0.33283001926748096,"[0.0007641258875821134, 1.15223014210687e-19, 0.9689565386171872, 3.071750942408017e-32, 0.030279335495230587]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-3,30,-0.3021013,-0.23802479,0,-0.021818669456215873,-0.028750621731858213,"[0.9698683885178974, 1.9713201938864394e-09, 7.81106604050533e-15, 0.010646200608938523, 0.019485408901836348]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-3,31,0.40233114,0.06031101,1,0.4100005811865301,-0.07971517569033945,"[0.028714024616983434, 0.9711433899969171, 6.43048079001913e-12, 0.0001425853796690691, 3.926824208857995e-36]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-3,32,-0.31179968,-0.050893012,4,-0.23827357807955385,0.015330147288842468,"[0.06293978165956092, 1.8089927145663285e-14, 6.43176680350209e-07, 2.31989043607733e-12, 0.9370595751614208]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-3,33,0.11298243,0.035079706,0,-0.021818669456215873,-0.028750621731858213,"[0.9998222765503767, 0.0001762905778645687, 6.806891026364932e-08, 1.3647776448075513e-06, 2.520367720360382e-11]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-3,34,-0.23456638,0.06657637,4,-0.23827357807955385,0.015330147288842468,"[0.018954663865528295, 2.371182650892907e-15, 0.0005763533421318547, 2.4502962052910727e-18, 0.9804689827923375]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-3,35,0.11017645,-0.16371755,3,-0.08980835503411871,-0.2976746221090999,"[0.2107536442110731, 0.0742610421589665, 2.82370506892523e-17, 0.7149853136299603, 3.486470304084178e-17]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-3,36,0.1429859,0.059452157,0,-0.021818669456215873,-0.028750621731858213,"[0.9997173610289704, 0.0002820460785521285, 2.3418885351298134e-07, 3.587025836414929e-07, 1.040270450019454e-12]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-3,37,-0.040502112,0.02318828,0,-0.021818669456215873,-0.028750621731858213,"[0.9993154421107434, 9.008809858359595e-08, 2.1062902277582676e-06, 4.416832972519068e-09, 0.0006823570940970755]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-3,38,-0.06471333,0.08954511,0,-0.021818669456215873,-0.028750621731858213,"[0.9648282927151248, 1.0611414643944547e-09, 0.0010503389493419335, 1.5397758158513172e-13, 0.0341213672742377]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-3,39,0.06407858,0.09707585,0,-0.021818669456215873,-0.028750621731858213,"[0.9999525777472607, 9.49522650309847e-07, 4.628531787646093e-05, 7.95845575363509e-11, 1.8733262821481235e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-3,40,-0.021407472,0.09407413,0,-0.021818669456215873,-0.028750621731858213,"[0.9983917922444765, 1.0314416415883751e-08, 0.0004328668585482499, 1.0458484488459646e-12, 0.001175330581512829]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-3,41,-0.056248758,0.025906589,0,-0.021818669456215873,-0.028750621731858213,"[0.9971137199988381, 3.319140208682533e-08, 4.270019330402843e-06, 1.4274621899723128e-09, 0.002881975362967446]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-3,42,-0.15132618,0.02146309,4,-0.23827357807955385,0.015330147288842468,"[0.41801267593685004, 7.257617930290707e-11, 2.163832282731879e-05, 6.772046324980754e-12, 0.5819656856609744]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-3,43,-0.18518934,0.0027779788,4,-0.23827357807955385,0.015330147288842468,"[0.20146979319078478, 1.1178760238666148e-11, 5.634733067737173e-06, 6.220479877772125e-12, 0.7985245720587484]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-3,44,0.5118622,-0.024860546,1,0.4100005811865301,-0.07971517569033945,"[2.292220973954828e-05, 0.9998241271638884, 1.247839140346941e-19, 0.00015295062637219137, 8.786310268445867e-55]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-3,45,-0.0018669573,0.3644946,2,-0.09314563798165282,0.33283001926748096,"[0.00046343085593413496, 1.6794205361716953e-17, 0.99953519388507, 4.276663537564311e-37, 1.3752589959717285e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-3,46,-0.24925767,0.015651966,4,-0.23827357807955385,0.015330147288842468,"[0.0307454894321775, 1.855975443362158e-14, 2.0105362237733852e-05, 3.897227508005893e-15, 0.9692344052055623]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-3,47,0.2804453,-0.1894261,1,0.4100005811865301,-0.07971517569033945,"[0.0007074169398840399, 0.9662357733344854, 3.314083683358694e-23, 0.03305680972563043, 1.2839701862797701e-34]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-3,48,0.37225774,-0.11562894,1,0.4100005811865301,-0.07971517569033945,"[0.00020829608818265339, 0.9951322321918254, 3.651222390025177e-21, 0.004659471719992058, 2.0936234816806206e-41]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-3,49,0.1460578,0.21914145,0,-0.021818669456215873,-0.028750621731858213,"[0.97705674396034, 2.508711213642999e-07, 0.02294300495018471, 1.5798538048592172e-16, 2.1835362372471987e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-3,50,0.07159563,-0.024327766,0,-0.021818669456215873,-0.028750621731858213,"[0.9996466835925062, 0.0002581185475319182, 9.90279967212312e-10, 9.519651266539062e-05, 3.5701659349404077e-10]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-3,51,-0.078428976,-0.18954016,0,-0.021818669456215873,-0.028750621731858213,"[0.8104415156653859, 6.479765996442467e-05, 1.6622778984199324e-15, 0.1894931508926157, 5.357820323801641e-07]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-3,52,-0.23586994,0.37846398,2,-0.09314563798165282,0.33283001926748096,"[3.4045865557573095e-07, 1.5593845910103187e-27, 0.9999990077202731, 1.0477305871959699e-51, 6.518210713304451e-07]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-3,53,-0.15925287,-0.015642455,0,-0.021818669456215873,-0.028750621731858213,"[0.5759800032140536, 3.468627309588474e-10, 1.3348217355525896e-06, 7.638792414503074e-10, 0.42401866085346884]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-3,54,0.38273144,-0.19184409,1,0.4100005811865301,-0.07971517569033945,"[1.322522367204141e-05, 0.9992245510376467, 2.649864284866885e-26, 0.0007622237386812426, 4.915725859459646e-47]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-3,55,-0.029614072,-0.05991212,0,-0.021818669456215873,-0.028750621731858213,"[0.9999304323304884, 5.868548412705813e-06, 6.180965853962075e-10, 5.627537638215327e-05, 7.423126620355302e-06]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-3,56,-0.041920777,-0.1336057,0,-0.021818669456215873,-0.028750621731858213,"[0.9836485593038656, 6.019947631706383e-05, 3.844395646756392e-13, 0.01629073380461643, 5.074148165940745e-07]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-3,57,-0.05421332,-0.22073112,3,-0.08980835503411871,-0.2976746221090999,"[0.33230720857888013, 0.00030251996259678495, 7.530250476481204e-18, 0.6673902689770644, 2.481458628917148e-09]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-3,58,-0.19589648,0.09422963,4,-0.23827357807955385,0.015330147288842468,"[0.03211967105446812, 1.1310787734908149e-14, 0.002629592886227356, 6.063856550881138e-19, 0.9652507360592931]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-3,59,0.09615892,0.18102637,0,-0.021818669456215873,-0.028750621731858213,"[0.9919451530519011, 1.0921659320633659e-07, 0.00805468664879965, 2.848669249663042e-15, 5.108270318442113e-08]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-3,60,-0.013711061,-0.07216554,0,-0.021818669456215873,-0.028750621731858213,"[0.9996665845119539, 2.259774496438196e-05, 1.1131666261189314e-10, 0.0003100407819141586, 7.76849850762224e-07]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-3,61,0.49365819,-0.019841706,1,0.4100005811865301,-0.07971517569033945,"[5.188915464223827e-05, 0.9997261991744345, 7.352177435390481e-19, 0.00022191167092323844, 5.407419697727909e-52]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-3,62,-0.096782275,0.2680031,2,-0.09314563798165282,0.33283001926748096,"[0.0028129887953694476, 5.766766768837249e-17, 0.9931810571333469, 8.304305981664867e-31, 0.004005954071283593]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-3,63,-0.07022652,-0.30347943,3,-0.08980835503411871,-0.2976746221090999,"[0.039280739058632205, 0.00030814395118191875, 3.6236683531526245e-23, 0.9604111169866186, 3.567192392889198e-12]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-3,64,-0.08510746,-0.26066056,3,-0.08980835503411871,-0.2976746221090999,"[0.1439344603269925, 0.00011608637013210318, 5.814405059605696e-20, 0.8559494517531048, 1.5497706197045797e-09]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-3,65,-0.00251228,0.3769304,2,-0.09314563798165282,0.33283001926748096,"[0.0002798684131094095, 4.921372532085912e-18, 0.9997193643062658, 1.412037128556633e-38, 7.672806246157516e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-3,66,0.42614552,0.08994585,1,0.4100005811865301,-0.07971517569033945,"[0.03318102565302193, 0.9667873694243958, 4.720123904639446e-11, 3.1604875380985734e-05, 1.1353801343060365e-37]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-3,67,0.25132486,-0.20319358,1,0.4100005811865301,-0.07971517569033945,"[0.0014350208179270845, 0.9294452589223291, 2.927048218892838e-23, 0.06911972025974386, 3.7712175087404043e-32]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-3,68,-0.18157998,0.03947093,4,-0.23827357807955385,0.015330147288842468,"[0.11190161609622039, 1.3652766625294664e-12, 6.958255273883791e-05, 2.536172296440007e-14, 0.8880288013496502]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-3,69,-0.12251995,-0.049827244,0,-0.021818669456215873,-0.028750621731858213,"[0.9742289443324327, 2.2433809214338193e-08, 2.7794590165133907e-08, 4.099369298417876e-07, 0.025770595502238338]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-3,70,-0.18423451,0.25213403,2,-0.09314563798165282,0.33283001926748096,"[0.0005068937882899211, 9.821854813246811e-20, 0.9866185635296563, 2.4376770983913e-33, 0.012874542682053732]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-3,71,-0.04843812,0.4040603,2,-0.09314563798165282,0.33283001926748096,"[2.9375985840106078e-05, 6.656032106185322e-21, 0.9999697891540134, 2.8570433851740225e-44, 8.348601464810835e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-3,72,0.25011468,-0.18353273,1,0.4100005811865301,-0.07971517569033945,"[0.0027485433898832763, 0.8998908963091089, 6.171966494757952e-22, 0.09736056030100784, 5.832768615140393e-31]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-3,73,0.24778247,-0.18444899,1,0.4100005811865301,-0.07971517569033945,"[0.0029185725875108906, 0.8937094128746674, 6.282637126615313e-22, 0.1033720145378217, 9.265398014862282e-31]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-3,74,-0.17648138,-0.41862112,3,-0.08980835503411871,-0.2976746221090999,"[0.02489245241755768, 4.297455490880615e-05, 5.835915476425148e-29, 0.975064573023326, 4.207368938510257e-12]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-3,75,-0.16704087,-0.3598848,3,-0.08980835503411871,-0.2976746221090999,"[0.03380135674404521, 1.3092820207416035e-05, 3.010160338836399e-25, 0.9661855501083374, 3.274100484462351e-10]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-3,76,0.61073065,0.018717432,1,0.4100005811865301,-0.07971517569033945,"[3.214789458750424e-06, 0.9999810368266262, 9.187856289844224e-20, 1.5748383915131994e-05, 9.169718858297292e-67]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-3,77,-0.07488669,0.3827278,2,-0.09314563798165282,0.33283001926748096,"[2.9965725271250784e-05, 4.3239377263509084e-21, 0.9999656530755227, 3.960526673888982e-43, 4.381199206053597e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-3,78,0.022653038,0.24370801,2,-0.09314563798165282,0.33283001926748096,"[0.24596439514392807, 2.1731604173392486e-11, 0.7539408809971843, 1.09083921869753e-22, 9.472383715602714e-05]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-3,79,0.24368975,0.18879418,0,-0.021818669456215873,-0.028750621731858213,"[0.9996110774489823, 0.00014457221422316412, 0.0002443503315415421, 5.253037689240233e-12, 2.516212641088401e-17]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-3,80,-0.16938657,-0.05973538,0,-0.021818669456215873,-0.028750621731858213,"[0.7752204331426235, 1.875353648273573e-09, 3.57500996372388e-08, 1.1516169092504677e-07, 0.22477941407023225]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-3,81,-0.25151917,-0.28693447,0,-0.021818669456215873,-0.028750621731858213,"[0.5585067342808266, 1.4956137502975305e-07, 1.6660884196258206e-18, 0.4413399006531129, 0.00015321550468542236]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-3,82,0.04577409,-0.24324691,3,-0.08980835503411871,-0.2976746221090999,"[0.046447246189282344, 0.012958924832809438, 2.917983981787534e-21, 0.940593828977908, 2.430475565883388e-16]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-3,83,-0.22563006,-0.049784996,4,-0.23827357807955385,0.015330147288842468,"[0.200649843091669, 1.1132807641076484e-11, 1.4448766189026925e-07, 6.120475328156303e-10, 0.7993500117974887]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-3,84,-0.20074943,0.040258985,4,-0.23827357807955385,0.015330147288842468,"[0.06035865889361944, 2.214436581646725e-13, 7.259234906404098e-05, 3.85084444601598e-15, 0.9395687487570913]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-3,85,-0.1496939,0.30529067,2,-0.09314563798165282,0.33283001926748096,"[9.308403244872649e-05, 8.883069577494464e-21, 0.9993024722064389, 7.984131753015393e-38, 0.0006044437611123116]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-3,86,0.2630342,0.051892787,0,-0.021818669456215873,-0.028750621731858213,"[0.8962718547354213, 0.10363988838611937, 3.991406052116139e-09, 8.825288705336813e-05, 7.989303043883875e-22]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-3,87,0.61719507,-0.024593957,1,0.4100005811865301,-0.07971517569033945,"[6.676799338709402e-07, 0.9999863810556008, 2.623801201573987e-22, 1.2951264465331298e-05, 3.180580397650055e-70]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-3,88,-0.14552048,-0.15470643,0,-0.021818669456215873,-0.028750621731858213,"[0.995726446047694, 5.332747702829434e-07, 9.331313157248846e-13, 0.003138353149382285, 0.0011346675272205994]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-3,89,0.004352061,-0.07103703,0,-0.021818669456215873,-0.028750621731858213,"[0.9994097667308863, 5.54320927304346e-05, 7.25615127671114e-11, 0.00053468770218559, 1.13401635991209e-07]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-3,90,-0.31772932,0.41427824,2,-0.09314563798165282,0.33283001926748096,"[8.864503860136217e-09, 1.444050889776947e-32, 0.9999999907308856, 1.918867594987872e-61, 4.046104621313463e-10]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-3,91,-0.118134014,0.26676714,2,-0.09314563798165282,0.33283001926748096,"[0.0016157819235845046, 9.39561056833593e-18, 0.9926441891209394, 1.017320586990465e-31, 0.005740028955475998]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-3,92,-0.19037005,0.30377576,2,-0.09314563798165282,0.33283001926748096,"[3.036212412613686e-05, 2.245924153038743e-22, 0.9995624977887231, 8.503134635653529e-40, 0.0004071400871507968]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-3,93,-0.18803668,0.09546091,4,-0.23827357807955385,0.015330147288842468,"[0.039459539174034206, 2.1239670681934535e-14, 0.0027921658139297974, 1.031448135025748e-18, 0.957748295012015]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-3,94,0.32727078,-0.11709024,1,0.4100005811865301,-0.07971517569033945,"[0.001147038805255491, 0.9821049690383007, 5.88000799291552e-20, 0.016747992156443778, 4.446478700322937e-36]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-3,95,0.3095995,0.5030761,2,-0.09314563798165282,0.33283001926748096,"[0.020287431479819363, 1.682454438162306e-11, 0.979712568503356, 6.509796476781729e-37, 3.1564567506277428e-21]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-3,96,-0.26364937,-0.38828564,3,-0.08980835503411871,-0.2976746221090999,"[0.04828445800094335, 2.8102310548432915e-07, 1.8445982892398311e-25, 0.9517152340170714, 2.6958879656952376e-08]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-3,97,-0.25224024,-0.31188005,3,-0.08980835503411871,-0.2976746221090999,"[0.2938122129762956, 1.9584482060148323e-07, 3.2926442759488255e-20, 0.7061697686273171, 1.7822551566657476e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-3,98,-0.30068702,-0.14781809,0,-0.021818669456215873,-0.028750621731858213,"[0.5331091140292398, 2.5434892982166826e-11, 1.5982746516091763e-10, 2.6958823509015624e-06, 0.46688818990314707]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-3,99,-0.09486352,0.005280091,0,-0.021818669456215873,-0.028750621731858213,"[0.9724880212092724, 9.310106439189021e-09, 2.128454266918752e-06, 2.5455329461999783e-09, 0.027509838480821263]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-4,0,0.08799766,-0.06060414,0,0.022002823621960012,0.011982012383780619,"[0.835265405917977, 0.007043754092413252, 2.270402694147464e-11, 0.1576907983046452, 4.166226047683032e-08]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-4,1,-0.08406016,0.2851326,2,-0.09286438524081729,0.3325912822507842,"[0.0013764216673406897, 9.815314657962176e-16, 0.9971187974365787, 2.673342237430185e-10, 0.0015047806287455355]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-4,2,-0.16364236,-0.11411294,0,0.022002823621960012,0.011982012383780619,"[0.6354488134256326, 7.040996648919457e-07, 2.4200147066813154e-10, 0.15642490309004103, 0.20812557914265975]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-4,3,0.07371062,-0.27021888,3,-0.11250871852438807,-0.26511987761854267,"[0.011611366271215584, 0.1598141758466782, 4.7981009505603275e-23, 0.8285744578811556, 9.506957120180083e-13]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-4,4,-0.1284643,0.3103237,2,-0.09286438524081729,0.3325912822507842,"[0.00010398217443770994, 2.2381487271579676e-18, 0.9992802220554959, 5.207753749201714e-12, 0.0006157957648585451]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-4,5,-0.23808402,0.26056772,2,-0.09286438524081729,0.3325912822507842,"[4.794178996966557e-05, 3.906573136782481e-20, 0.9952521180395827, 9.736067899914437e-12, 0.004699940160711392]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-4,6,-0.10493148,-0.30384988,3,-0.11250871852438807,-0.26511987761854267,"[0.014918150943803294, 0.0004940280587597797, 3.3480367494284523e-22, 0.984587396395633, 4.24601803999557e-07]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-4,7,-0.295713,-0.42771262,3,-0.11250871852438807,-0.26511987761854267,"[0.0023645945655625393, 3.0250120501063866e-06, 3.5093300270522354e-27, 0.9976318158689285, 5.645534588703232e-07]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-4,8,-0.3188932,-0.023905918,4,-0.23105006495703093,0.004980115108258148,"[0.019795457462015758, 2.356546472954355e-13, 8.007765466593468e-06, 0.0001072222391621153, 0.9800893125331199]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-4,9,0.52375084,0.03593809,1,0.39934755792821813,-0.08313946577123288,"[0.0001120105926973836, 0.9998797329427499, 1.9352499423855181e-16, 8.256464552484382e-06, 4.757964008459437e-38]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-4,10,-0.24769914,0.06194072,4,-0.23105006495703093,0.004980115108258148,"[0.013289693719706034, 9.907383540589101e-14, 0.0006645671222266175, 5.676187124684784e-06, 0.9860400629708436]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-4,11,0.45866024,0.07679337,1,0.39934755792821813,-0.08313946577123288,"[0.005675865324836471, 0.9942498145313629, 1.5418935423421596e-12, 7.432014225895384e-05, 1.634255460421346e-30]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-4,12,-0.21952832,-0.2596673,3,-0.11250871852438807,-0.26511987761854267,"[0.08068760564172067, 3.227565788708422e-06, 2.1534680927026892e-17, 0.916931236805809, 0.00237792998668178]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-4,13,0.5387558,-0.021885695,1,0.39934755792821813,-0.08313946577123288,"[9.070233166765475e-06, 0.9999860992766383, 5.372329027253755e-20, 4.8304901950020226e-06, 2.2280791686607822e-41]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-4,14,-0.31746334,-0.03755091,4,-0.23105006495703093,0.004980115108258148,"[0.024054732904616363, 5.794558824392011e-13, 2.7106139194125547e-06, 0.00020708731702787805, 0.9757354691638569]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-4,15,0.21572201,0.15297481,0,0.022002823621960012,0.011982012383780619,"[0.999345720353401, 0.00038165694469570845, 4.6552710585381576e-05, 0.0002260699836955244, 7.622451115337738e-12]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-4,16,-0.17784788,-0.16018736,0,0.022002823621960012,0.011982012383780619,"[0.48435686742188583, 1.9860621660576297e-06, 2.4147868978607085e-12, 0.43655680894957144, 0.07908433756396183]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-4,17,0.12485067,-0.17534988,3,-0.11250871852438807,-0.26511987761854267,"[0.08767572091250672, 0.2824754872712697, 5.029100569054898e-18, 0.6298487918142919, 1.931662787977475e-12]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-4,18,-0.045080878,-0.32160506,3,-0.11250871852438807,-0.26511987761854267,"[0.007059115598839941, 0.005471352908643295, 2.1924557022039557e-24, 0.9874695297906828, 1.701834099404515e-09]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-4,19,-0.29219365,-0.1354431,4,-0.23105006495703093,0.004980115108258148,"[0.15404182537794384, 1.070544426935655e-09, 5.354796234131024e-10, 0.03423294667347756, 0.8117252263425546]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-4,20,0.22983314,0.005944166,0,0.022002823621960012,0.011982012383780619,"[0.7743529988591161, 0.19004641594393998, 1.7784491509240174e-10, 0.03560058501906319, 3.5691259654260407e-14]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-4,21,-0.2313607,0.15489271,4,-0.23105006495703093,0.004980115108258148,"[0.007694076571732504, 1.5821469021340934e-15, 0.20579738598349714, 1.1392371043351487e-07, 0.7865084235210582]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-4,22,0.44196302,-0.22339565,1,0.39934755792821813,-0.08313946577123288,"[4.056503808073664e-07, 0.9999495922642575, 1.0399077506391161e-29, 5.000208536155434e-05, 8.374040127922952e-39]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-4,23,0.31953293,-0.23248373,1,0.39934755792821813,-0.08313946577123288,"[2.3384516120875664e-05, 0.9978933850137376, 5.911210127682061e-27, 0.0020832304701415495, 2.919862186409756e-28]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-4,24,0.0025802255,-0.08199731,0,0.022002823621960012,0.011982012383780619,"[0.8110766965547574, 0.0004025877867972217, 3.661850844280337e-11, 0.18848437291757122, 3.634270425549764e-05]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-4,25,0.023439856,-0.079839304,0,0.022002823621960012,0.011982012383780619,"[0.8033756191911728, 0.0009068812631313657, 2.3549495024149307e-11, 0.1957102419984812, 7.257523665266267e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-4,26,-0.06371302,0.3954228,2,-0.09286438524081729,0.3325912822507842,"[1.6077449094996012e-05, 1.5205826932828087e-19, 0.9999805467591343, 2.836388362589987e-14, 3.375791742291261e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-4,27,-0.2963673,0.015343715,4,-0.23105006495703093,0.004980115108258148,"[0.013108217208670309, 7.653136562063324e-14, 7.406751388472254e-05, 2.142695844437547e-05, 0.9867962883189241]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-4,28,0.08612508,0.3898904,2,-0.09286438524081729,0.3325912822507842,"[0.001191944772056754, 3.04168325446598e-14, 0.9988080384988681, 6.950747887693086e-12, 1.6722093785657194e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-4,29,-0.20296153,0.2345368,2,-0.09286438524081729,0.3325912822507842,"[0.0005975607405476217, 1.1086699089308764e-17, 0.9620388554951861, 4.4652884273843737e-10, 0.0373635833177376]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-4,30,-0.3021013,-0.23802479,3,-0.11250871852438807,-0.26511987761854267,"[0.18695492795820895, 7.164679321353585e-08, 1.202066807535432e-14, 0.7439434553307042, 0.06910154506428162]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-4,31,0.40233114,0.06031101,1,0.39934755792821813,-0.08313946577123288,"[0.02790401290227012, 0.9716062964348678, 7.695806582267065e-12, 0.0004896906551662924, 7.483676458345303e-26]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-4,32,-0.31179968,-0.050893012,4,-0.23105006495703093,0.004980115108258148,"[0.029951275120113356, 1.7664540998815645e-12, 8.154852526529176e-07, 0.0004141273733613091, 0.9696337820195061]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-4,33,0.11298243,0.035079706,0,0.022002823621960012,0.011982012383780619,"[0.9904698325404873, 0.000522283562199552, 7.865851451955652e-08, 0.00900775261744506, 5.262135384114566e-08]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-4,34,-0.23456638,0.06657637,4,-0.23105006495703093,0.004980115108258148,"[0.01578937542789013, 1.8225381297012453e-13, 0.0007385833329557162, 6.191024517162121e-06, 0.9834658502144547]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-4,35,0.11017645,-0.16371755,3,-0.11250871852438807,-0.26511987761854267,"[0.14429545212960335, 0.16577930827178, 4.685727702802643e-17, 0.6899252395747848, 2.3831756359327732e-11]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-4,36,0.1429859,0.059452157,0,0.022002823621960012,0.011982012383780619,"[0.9947124028993408, 0.0007211186270575787, 2.585693824668515e-07, 0.004566215646084695, 4.2581344889525114e-09]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-4,37,-0.040502112,0.02318828,0,0.022002823621960012,0.011982012383780619,"[0.9830951568215266, 8.647793605896333e-07, 2.741558238417792e-06, 0.005664271892929516, 0.011236964947944954]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-4,38,-0.06471333,0.08954511,0,0.022002823621960012,0.011982012383780619,"[0.8735439881062209, 1.3585160390900175e-08, 0.0011234672076448641, 0.0004165545615786788, 0.12491597653939514]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-4,39,0.06407858,0.09707585,0,0.022002823621960012,0.011982012383780619,"[0.9991629305326302, 4.45931926912965e-06, 4.980536580111558e-05, 0.0007661564274458895, 1.6648354853702358e-05]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-4,40,-0.021407472,0.09407413,0,0.022002823621960012,0.011982012383780619,"[0.988473403911062, 9.690125530362656e-08, 0.0004854201055301956, 0.0005157358942186883, 0.010525343187933736]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-4,41,-0.056248758,0.025906589,0,0.022002823621960012,0.011982012383780619,"[0.9644461566129938, 3.6460693089080445e-07, 5.512826002332216e-06, 0.0046193190265151896, 0.030928646927557698]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-4,42,-0.15132618,0.02146309,4,-0.23105006495703093,0.004980115108258148,"[0.2316794426259473, 1.2172492916919666e-09, 1.821904130541973e-05, 0.0007398660087777533, 0.7675624711067202]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-4,43,-0.18518934,0.0027779788,4,-0.23105006495703093,0.004980115108258148,"[0.10994705748490671, 2.640030319529323e-10, 5.208978963636075e-06, 0.0005446555820391193, 0.8895030776900874]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-4,44,0.5118622,-0.024860546,1,0.39934755792821813,-0.08313946577123288,"[2.1875821127590984e-05, 0.9999668306765173, 1.8715946927419167e-19, 1.1293502355086059e-05, 9.232711432075172e-39]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-4,45,-0.0018669573,0.3644946,2,-0.09286438524081729,0.3325912822507842,"[0.0003213413210841749, 3.2994066270994564e-16, 0.9996757166696623, 3.3692763912872984e-12, 2.942005883865245e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-4,46,-0.24925767,0.015651966,4,-0.23105006495703093,0.004980115108258148,"[0.021665355675225796, 1.2872866570557878e-12, 2.573280516530759e-05, 4.682944352259877e-05, 0.9782620820747989]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-4,47,0.2804453,-0.1894261,1,0.39934755792821813,-0.08313946577123288,"[0.0004263895502650445, 0.9896995278282128, 5.124765877705791e-23, 0.009874082621522166, 1.449508421059277e-23]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-4,48,0.37225774,-0.11562894,1,0.39934755792821813,-0.08313946577123288,"[0.0001746239351668646, 0.9990635657041499, 5.644824587128412e-21, 0.0007618103606830314, 1.0944047353037464e-28]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-4,49,0.1460578,0.21914145,0,0.022002823621960012,0.011982012383780619,"[0.975393564078183, 9.843428029989757e-07, 0.02459402213211941, 1.1390928953981385e-05, 3.8517940648788514e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-4,50,0.07159563,-0.024327766,0,0.022002823621960012,0.011982012383780619,"[0.9483229234249488, 0.0009200562281026307, 1.3005737933281578e-09, 0.05075641397081589, 6.050755590455979e-07]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-4,51,-0.078428976,-0.18954016,3,-0.11250871852438807,-0.26511987761854267,"[0.2149817350343692, 0.0002424414546306395, 1.5591325483543952e-15, 0.7846809834526179, 9.484005838068545e-05]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-4,52,-0.23586994,0.37846398,2,-0.09286438524081729,0.3325912822507842,"[2.0247509472173646e-07, 4.612754134979193e-25, 0.9999937570759294, 2.4810290026556973e-16, 6.040448975759495e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-4,53,-0.15925287,-0.015642455,4,-0.23105006495703093,0.004980115108258148,"[0.2936119024030569, 5.5151339950778425e-09, 1.1771769165837978e-06, 0.0031614670989559435, 0.7032254478059367]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-4,54,0.38273144,-0.19184409,1,0.39934755792821813,-0.08313946577123288,"[9.119114342592413e-06, 0.9996238065588511, 4.7753817580079734e-26, 0.0003670743268063416, 3.0902275335282523e-32]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-4,55,-0.029614072,-0.05991212,0,0.022002823621960012,0.011982012383780619,"[0.9110892516540637, 4.404660734652753e-05, 9.653269529755623e-10, 0.08808040990621327, 0.0007862908670495505]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-4,56,-0.041920777,-0.1336057,0,0.022002823621960012,0.011982012383780619,"[0.5318456774141881, 0.00030707122768912094, 5.061825097701102e-13, 0.46771432683439734, 0.0001329245232193698]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-4,57,-0.05421332,-0.22073112,3,-0.11250871852438807,-0.26511987761854267,"[0.09172266583361667, 0.001009539505376055, 8.636741260897583e-18, 0.9072650659401278, 2.7287208794941546e-06]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-4,58,-0.19589648,0.09422963,4,-0.23105006495703093,0.004980115108258148,"[0.02844855862522357, 6.163558582235505e-13, 0.003188482957482678, 5.174299762552695e-06, 0.968357784116915]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-4,59,0.09615892,0.18102637,0,0.022002823621960012,0.011982012383780619,"[0.9916011914843935, 5.207392302582869e-07, 0.008356299036819823, 3.886418954231655e-05, 3.1245500140256336e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-4,60,-0.013711061,-0.07216554,0,0.022002823621960012,0.011982012383780619,"[0.8648356960862429, 0.00014040990931667228, 1.7036609820145122e-10, 0.13485013140176755, 0.00017376243230678054]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-4,61,0.49365819,-0.019841706,1,0.39934755792821813,-0.08313946577123288,"[5.068055897445464e-05, 0.99992889742239, 1.0936490045692398e-18, 2.042201863568278e-05, 8.380967263054718e-37]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-4,62,-0.096782275,0.2680031,2,-0.09286438524081729,0.3325912822507842,"[0.0023567957341202274, 2.0025009345058713e-15, 0.992933316927318, 8.66985748773967e-10, 0.0047098864715740705]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-4,63,-0.07022652,-0.30347943,3,-0.11250871852438807,-0.26511987761854267,"[0.01254592784181056, 0.0017416488229276385, 9.099857994502868e-23, 0.9857123834077188, 3.992754300964263e-08]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-4,64,-0.08510746,-0.26066056,3,-0.11250871852438807,-0.26511987761854267,"[0.03942335744539056, 0.0005603778957022776, 9.240350148866772e-20, 0.960014329643552, 1.935015355145501e-06]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-4,65,-0.00251228,0.3769304,2,-0.09286438524081729,0.3325912822507842,"[0.00018626129656908123, 1.0179416008969728e-16, 0.9998121007991307, 1.1173664025216682e-12, 1.6379031826634846e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-4,66,0.42614552,0.08994585,1,0.39934755792821813,-0.08313946577123288,"[0.03215317023818857, 0.9676223201128454, 5.6642703370588954e-11, 0.00022450959232323442, 3.834606672698041e-27]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-4,67,0.25132486,-0.20319358,1,0.39934755792821813,-0.08313946577123288,"[0.0007845215141098793, 0.9762046274756336, 4.4578482389964506e-23, 0.023010851010256576, 8.799806501017677e-22]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-4,68,-0.18157998,0.03947093,4,-0.23105006495703093,0.004980115108258148,"[0.07476276199584639, 4.066234498887535e-11, 7.028066522697257e-05, 0.00010631008298525879, 0.9250606472152789]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-4,69,-0.12251995,-0.049827244,0,0.022002823621960012,0.011982012383780619,"[0.7746032640415003, 3.6061139628253407e-07, 4.108965723791189e-08, 0.031888425056905596, 0.19350790920054073]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-4,70,-0.18423451,0.25213403,2,-0.09286438524081729,0.3325912822507842,"[0.00040112669776457975, 8.299599247411164e-18, 0.9837600222294396, 1.6381185612703637e-10, 0.015838850908983848]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-4,71,-0.04843812,0.4040603,2,-0.09286438524081729,0.3325912822507842,"[1.7709342897807607e-05, 2.4235638570304725e-19, 0.9999806759551157, 2.326559439930398e-14, 1.6147019632167553e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-4,72,0.25011468,-0.18353273,1,0.39934755792821813,-0.08313946577123288,"[0.0016263310522461757, 0.9707889736310542, 9.136239583583966e-22, 0.027584695316699485, 5.196260714727151e-21]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-4,73,0.24778247,-0.18444899,1,0.39934755792821813,-0.08313946577123288,"[0.001718145552000235, 0.9687274235896128, 9.303882385093855e-22, 0.02955443085838702, 7.26238358046647e-21]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-4,74,-0.17648138,-0.41862112,3,-0.11250871852438807,-0.26511987761854267,"[0.0015235407812671567, 0.00020931071489605648, 1.0212720400780035e-28, 0.9982671377965766, 1.0707260186377513e-08]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-4,75,-0.16704087,-0.3598848,3,-0.11250871852438807,-0.26511987761854267,"[0.005420273500628429, 0.00011580072268815008, 7.606094396866268e-25, 0.9944635500742613, 3.7570242205093686e-07]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-4,76,0.61073065,0.018717432,1,0.39934755792821813,-0.08313946577123288,"[2.6052436323665484e-06, 0.9999968792534404, 1.2600046674282114e-19, 5.155029272233502e-07, 1.148201060860618e-47]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-4,77,-0.07488669,0.3827278,2,-0.09286438524081729,0.3325912822507842,"[1.938237141174609e-05, 1.9166249854240043e-19, 0.9999728916412978, 5.6499670730139256e-14, 7.72598723420044e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-4,78,0.022653038,0.24370801,2,-0.09286438524081729,0.3325912822507842,"[0.22849741495944764, 2.2556502923615908e-10, 0.7710482720703165, 4.77950056273832e-07, 0.0004538347946146569]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-4,79,0.24368975,0.18879418,0,0.022002823621960012,0.011982012383780619,"[0.9993687334651918, 0.0002989394077220736, 0.00026536092185382615, 6.69662047801941e-05, 4.520661189659507e-13]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-4,80,-0.16938657,-0.05973538,4,-0.23105006495703093,0.004980115108258148,"[0.3985831642242534, 3.230503524845568e-08, 3.83608842583464e-08, 0.017207601849836527, 0.5842091632599906]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-4,81,-0.25151917,-0.28693447,3,-0.11250871852438807,-0.26511987761854267,"[0.04913236938816027, 1.4580170985395867e-06, 1.5067488224466878e-18, 0.9494977539587461, 0.0013684186359950708]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-4,82,0.04577409,-0.24324691,3,-0.11250871852438807,-0.26511987761854267,"[0.030013620660525465, 0.04970805184466213, 7.905281110439361e-21, 0.9202783273783393, 1.164731631481557e-10]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-4,83,-0.22563006,-0.049784996,4,-0.23105006495703093,0.004980115108258148,"[0.09132277295422261, 3.33660075296994e-10, 1.4563822796943508e-07, 0.002048846043666547, 0.9066282350302228]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-4,84,-0.20074943,0.040258985,4,-0.23105006495703093,0.004980115108258148,"[0.043899394466168855, 9.063834599929613e-12, 8.206270704254941e-05, 5.40610825033574e-05, 0.9559644817352213]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-4,85,-0.1496939,0.30529067,2,-0.09286438524081729,0.3325912822507842,"[7.07993270511661e-05, 6.473469331414546e-19, 0.9990674881501431, 3.8403964972762365e-12, 0.0008617125189654317]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-4,86,0.2630342,0.051892787,0,0.022002823621960012,0.011982012383780619,"[0.849839684422278, 0.14044366961187277, 4.301806789473888e-09, 0.009716641664040545, 1.855653962994343e-15]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-4,87,0.61719507,-0.024593957,1,0.39934755792821813,-0.08313946577123288,"[5.078229004256049e-07, 0.9999990686175757, 3.6369503563445204e-22, 4.2355952406903523e-07, 9.184030787420327e-50]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-4,88,-0.14552048,-0.15470643,0,0.022002823621960012,0.011982012383780619,"[0.5073026212838718, 7.108906654164583e-06, 1.5323009285498492e-12, 0.4676559294907853, 0.025034340317156498]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-4,89,0.004352061,-0.07103703,0,0.022002823621960012,0.011982012383780619,"[0.8571125807355514, 0.00029418543532689186, 1.0752663580782352e-10, 0.142547712953803, 4.552076779207316e-05]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-4,90,-0.31772932,0.41427824,2,-0.09286438524081729,0.3325912822507842,"[4.3272991161045885e-09, 1.5841745671312897e-29, 0.999999935930614, 5.885778568166433e-19, 5.974208686878961e-08]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-4,91,-0.118134014,0.26676714,2,-0.09286438524081729,0.3325912822507842,"[0.0013363889855354625, 4.0672628295008255e-16, 0.9922298245703243, 4.5246065064511837e-10, 0.006433785991679236]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-4,92,-0.19037005,0.30377576,2,-0.09286438524081729,0.3325912822507842,"[2.237209272653551e-05, 2.6146818596976266e-20, 0.9992014296585944, 9.952364541380939e-13, 0.0007761982476837151]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-4,93,-0.18803668,0.09546091,4,-0.23105006495703093,0.004980115108258148,"[0.03458486517417617, 1.0442149980727735e-12, 0.0033057485812544424, 6.30967503184856e-06, 0.9621030765684934]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-4,94,0.32727078,-0.11709024,1,0.39934755792821813,-0.08313946577123288,"[0.0009042082444253608, 0.9957840594582408, 8.479443594241438e-20, 0.003311732297333916, 6.613348212447184e-25]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-4,95,0.3095995,0.5030761,2,-0.09286438524081729,0.3325912822507842,"[0.0057926207777443655, 4.366804436061695e-11, 0.9942073791779038, 6.837594826041268e-13, 2.2695935628758206e-18]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-4,96,-0.26364937,-0.38828564,3,-0.11250871852438807,-0.26511987761854267,"[0.004745556491958506, 5.0432649887959705e-06, 4.838764400695221e-25, 0.9952462257837794, 3.1744592732781193e-06]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-4,97,-0.25224024,-0.31188005,3,-0.11250871852438807,-0.26511987761854267,"[0.026887486934772088, 2.1535236554933346e-06, 3.830635983720098e-20, 0.9728079906867168, 0.00030236885485558065]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-4,98,-0.30068702,-0.14781809,4,-0.23105006495703093,0.004980115108258148,"[0.1783795382386248, 1.4334642332281143e-09, 2.3066650828519007e-10, 0.0546506735480869, 0.7669697865491577]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-4,99,-0.09486352,0.005280091,0,0.022002823621960012,0.011982012383780619,"[0.8329337842405985, 1.2829916941916956e-07, 2.6927793006799622e-06, 0.006460800288633285, 0.1606025943922981]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-5,0,0.08799766,-0.06060414,0,0.037281523328938616,0.010508440293442773,"[0.9190312240562309, 0.005258211040164937, 2.010680210712955e-11, 0.0757030111974422, 7.553686055207477e-06]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-5,1,-0.08406016,0.2851326,2,-0.09296280011933777,0.3326777637285923,"[0.0014715877262271313, 2.9196856969714363e-16, 0.9964215181435326, 2.2657884076380623e-12, 0.0021068941279741224]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-5,2,-0.16364236,-0.11411294,4,-0.22210335419955535,-0.001519813838063056,"[0.4386714570416271, 3.788475265399387e-07, 2.1156965996125552e-10, 0.07934163470421945, 0.4819865291950574]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-5,3,0.07371062,-0.27021888,3,-0.11916427900347708,-0.2765971146888643,"[0.026981718123349086, 0.14806717732321162, 4.2721382067183717e-23, 0.8249511004021299, 4.151309344778207e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-5,4,-0.1284643,0.3103237,2,-0.09296280011933777,0.3326777637285923,"[0.00011372770431338339, 5.458179380147407e-19, 0.999032339538196, 2.5649079245278374e-14, 0.0008539327574649717]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-5,5,-0.23808402,0.26056772,2,-0.09296280011933777,0.3326777637285923,"[3.712269648603642e-05, 7.823608772986116e-21, 0.9923581240843978, 7.82834591289922e-14, 0.007604753219037932]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-5,6,-0.10493148,-0.30384988,3,-0.11916427900347708,-0.2765971146888643,"[0.02370656688056876, 0.000391214027565461, 2.9131620015330175e-22, 0.9758803442742445, 2.1874817621256833e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-5,7,-0.295713,-0.42771262,3,-0.11916427900347708,-0.2765971146888643,"[0.003201438571903623, 2.2960767528956686e-06, 3.1505395938866707e-27, 0.9967905718858284, 5.693465514943327e-06]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-5,8,-0.3188932,-0.023905918,4,-0.22210335419955535,-0.001519813838063056,"[0.008514043683408428, 8.604863526537746e-14, 8.273400642535763e-06, 2.6462266379043506e-05, 0.9914512206494839]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-5,9,0.52375084,0.03593809,1,0.40066844685712144,-0.08343589595161922,"[9.538219306869619e-05, 0.9999011945368383, 1.7856636980247364e-16, 3.423270092792322e-06, 9.870390506348157e-29]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-5,10,-0.24769914,0.06194072,4,-0.22210335419955535,-0.001519813838063056,"[0.0078891998839123, 3.771472061933172e-14, 0.0007398136698805711, 7.273804686658543e-07, 0.9913702590657009]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-5,11,0.45866024,0.07679337,1,0.40066844685712144,-0.08343589595161922,"[0.005043299008868932, 0.9949344470226683, 1.4862474194414222e-12, 2.2253966976445363e-05, 4.14038254782103e-23]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-5,12,-0.21952832,-0.2596673,3,-0.11916427900347708,-0.2765971146888643,"[0.07654810243216018, 2.2580928390391045e-06, 2.0783425134987676e-17, 0.9125722712022738, 0.010877368272726801]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-5,13,0.5387558,-0.021885695,1,0.40066844685712144,-0.08343589595161922,"[8.963284721691804e-06, 0.9999882367030749, 4.8908384145626106e-20, 2.800012203241524e-06, 5.332605949240078e-31]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-5,14,-0.31746334,-0.03755091,4,-0.22210335419955535,-0.001519813838063056,"[0.010547724443878468, 2.2182300177998516e-13, 2.824607353809288e-06, 5.832507269882279e-05, 0.9893911258758472]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-5,15,0.21572201,0.15297481,0,0.037281523328938616,0.010508440293442773,"[0.999654939482607, 0.00027723881952709486, 4.52102551412144e-05, 2.2608212444133643e-05, 3.2302808102024498e-09]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-5,16,-0.17784788,-0.16018736,0,0.037281523328938616,0.010508440293442773,"[0.413865911637814, 1.3213667741635071e-06, 2.4589051095138845e-12, 0.3266941880480435, 0.25943857894490957]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-5,17,0.12485067,-0.17534988,3,-0.11916427900347708,-0.2765971146888643,"[0.15898799862247565, 0.2703951796154149, 4.8310787948279196e-18, 0.5706168136038904, 8.158219096757081e-09]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-5,18,-0.045080878,-0.32160506,3,-0.11916427900347708,-0.2765971146888643,"[0.014909595784736857, 0.004686893523742065, 1.8979330980671895e-24, 0.9804030036187907, 5.07072730417618e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-5,19,-0.29219365,-0.1354431,4,-0.22210335419955535,-0.001519813838063056,"[0.07583295240742978, 4.996575341334519e-10, 5.068596305065674e-10, 0.01864224223212895, 0.9055248043539241]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-5,20,0.22983314,0.005944166,0,0.037281523328938616,0.010508440293442773,"[0.8320834178662023, 0.15511041084333665, 1.5807445157380275e-10, 0.012806170930915102, 2.0147127716290527e-10]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-5,21,-0.2313607,0.15489271,4,-0.22210335419955535,-0.001519813838063056,"[0.004712863086186049, 4.3843371268633607e-16, 0.2044640474856597, 4.37836411018771e-09, 0.7908230850497897]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-5,22,0.44196302,-0.22339565,1,0.40066844685712144,-0.08343589595161922,"[1.1061784249508285e-06, 0.9999512136946275, 9.35532090519865e-30, 4.768012694749166e-05, 2.8168776648371143e-28]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-5,23,0.31953293,-0.23248373,1,0.40066844685712144,-0.08343589595161922,"[6.412033537601929e-05, 0.9979346399594422, 5.252555557571811e-27, 0.0020012397051816684, 1.6055322192711994e-20]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-5,24,0.0025802255,-0.08199731,0,0.037281523328938616,0.010508440293442773,"[0.8942131198881789, 0.00030346500802808855, 3.575920445970299e-11, 0.10434437821751716, 0.0011390368505166404]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-5,25,0.023439856,-0.079839304,0,0.037281523328938616,0.010508440293442773,"[0.892737112618442, 0.0006833637271489709, 2.2373164938348407e-11, 0.1062311919871428, 0.0003483316448931922]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-5,26,-0.06371302,0.3954228,2,-0.09296280011933777,0.3326777637285923,"[2.5460752553959165e-05, 3.5368526498954685e-20, 0.9999679960695945, 3.785103731793087e-17, 6.5431778514569104e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-5,27,-0.2963673,0.015343715,4,-0.22210335419955535,-0.001519813838063056,"[0.006280158570019213, 2.7636458567475372e-14, 7.892445913485346e-05, 3.902830082779606e-06, 0.9936370141407355]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-5,28,0.08612508,0.3898904,2,-0.09296280011933777,0.3326777637285923,"[0.001877960000558524, 1.0961991135866487e-14, 0.9981219510457958, 1.669879862900418e-14, 8.895361811217453e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-5,29,-0.20296153,0.2345368,2,-0.09296280011933777,0.3326777637285923,"[0.0004608705813564871, 2.6645763528316375e-18, 0.9549024890004136, 5.929990982607513e-12, 0.04463664041229983]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-5,30,-0.3021013,-0.23802479,3,-0.11916427900347708,-0.2765971146888643,"[0.1277918419847097, 4.570344356579209e-08, 1.2785111573335498e-14, 0.7338653491565762, 0.13834276315525756]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-5,31,0.40233114,0.06031101,1,0.40066844685712144,-0.08343589595161922,"[0.028041772149072063, 0.971798747583601, 7.590875613169046e-12, 0.0001594802597360888, 1.8859680402784137e-19]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-5,32,-0.31179968,-0.050893012,4,-0.22210335419955535,-0.001519813838063056,"[0.013642203094777847, 7.158426841196633e-13, 8.573119418903517e-07, 0.00013298963204103176, 0.9862239499605233]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-5,33,0.11298243,0.035079706,0,0.037281523328938616,0.010508440293442773,"[0.9972933516036424, 0.00037277152402941566, 7.353585158350712e-08, 0.0023283958336683523, 5.407502808256422e-06]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-5,34,-0.23456638,0.06657637,4,-0.22210335419955535,-0.001519813838063056,"[0.009776919985047636, 7.109006197047184e-14, 0.0008234001609933986, 7.749601576249296e-07, 0.9893989048937302]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-5,35,0.11017645,-0.16371755,3,-0.11916427900347708,-0.2765971146888643,"[0.24486134860000963, 0.15534429387148274, 4.5134775000784975e-17, 0.5997943078706447, 4.9657862726232506e-08]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-5,36,0.1429859,0.059452157,0,0.037281523328938616,0.010508440293442773,"[0.9984805805297686, 0.000520219819349267, 2.4227302650503204e-07, 0.0009982364582564918, 7.2091959914316e-07]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-5,37,-0.040502112,0.02318828,0,0.037281523328938616,0.010508440293442773,"[0.938213317149068, 5.603280544721763e-07, 2.961234418167675e-06, 0.001492789429226583, 0.060290371859232875]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-5,38,-0.06471333,0.08954511,0,0.037281523328938616,0.010508440293442773,"[0.7114402111601801, 6.670491663561626e-09, 0.0011043796380407387, 4.975772619600783e-05, 0.2874056448050915]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-5,39,0.06407858,0.09707585,0,0.037281523328938616,0.010508440293442773,"[0.9995352145581147, 2.885610029887332e-06, 5.061409476869259e-05, 0.0001107269185153473, 0.00030055881857122234]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-5,40,-0.021407472,0.09407413,0,0.037281523328938616,0.010508440293442773,"[0.9533828112997123, 5.7063308950697966e-08, 0.0005268666427656324, 7.029059655335471e-05, 0.04601997439765961]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-5,41,-0.056248758,0.025906589,0,0.037281523328938616,0.010508440293442773,"[0.8731615563102875, 2.232279018194712e-07, 5.832074895188096e-06, 0.0011350677749053407, 0.1256973206120101]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-5,42,-0.15132618,0.02146309,4,-0.22210335419955535,-0.001519813838063056,"[0.13229708575394059, 4.789556340206858e-10, 1.500742222269218e-05, 0.0001263617112217138, 0.8675615446336596]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-5,43,-0.18518934,0.0027779788,4,-0.22210335419955535,-0.001519813838063056,"[0.06337766086153095, 1.0992978766652375e-10, 4.7045467580041e-06, 0.00011472412416767264, 0.9365029103576137]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-5,44,0.5118622,-0.024860546,1,0.40066844685712144,-0.08343589595161922,"[2.270907629596518e-05, 0.9999707596869057, 1.7054278070055522e-19, 6.5312367982421e-06, 5.070974686389063e-29]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-5,45,-0.0018669573,0.3644946,2,-0.09296280011933777,0.3326777637285923,"[0.0004651598679431504, 1.0014941084641238e-16, 0.9995280013982992, 9.638276624067777e-15, 6.838733748009005e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-5,46,-0.24925767,0.015651966,4,-0.22210335419955535,-0.001519813838063056,"[0.012609226231334963, 5.462124966464001e-13, 2.8513673279248823e-05, 9.617951889960725e-06, 0.9873526421429497]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-5,47,0.2804453,-0.1894261,1,0.40066844685712144,-0.08343589595161922,"[0.000933734310100582, 0.9898995242060419, 4.655136787577659e-23, 0.009166741483857401, 4.055263238692069e-17]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-5,48,0.37225774,-0.11562894,1,0.40066844685712144,-0.08343589595161922,"[0.000283956740767206, 0.9991171161842215, 5.141489000400404e-21, 0.0005989270750111974, 3.908581013719964e-21]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-5,49,0.1460578,0.21914145,0,0.037281523328938616,0.010508440293442773,"[0.976963628208836, 5.484461608874405e-07, 0.02303412257095205, 4.2620707536557014e-07, 1.2745669756453101e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-5,50,0.07159563,-0.024327766,0,0.037281523328938616,0.010508440293442773,"[0.9798336972524376, 0.0006619671490939532, 1.1935364788917521e-09, 0.019459575231437917, 4.4759173494077153e-05]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-5,51,-0.078428976,-0.18954016,3,-0.11916427900347708,-0.2765971146888643,"[0.27710793063158456, 0.00020077244811905192, 1.6030176950448248e-15, 0.7205781277724794, 0.0021131691478153587]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-5,52,-0.23586994,0.37846398,2,-0.09296280011933777,0.3326777637285923,"[2.4628929852319103e-07, 6.402297827741967e-26, 0.9999765998679652, 2.536263274257854e-19, 2.3153842736327462e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-5,53,-0.15925287,-0.015642455,4,-0.22210335419955535,-0.001519813838063056,"[0.1604962841911679, 2.209873448005007e-09, 9.2704610458239e-07, 0.0007113118312823682, 0.8387914747215717]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-5,54,0.38273144,-0.19184409,1,0.40066844685712144,-0.08343589595161922,"[2.074776611807808e-05, 0.9996393556511031, 4.263162926530714e-26, 0.0003398965827789092, 1.458114069708716e-23]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-5,55,-0.029614072,-0.05991212,0,0.037281523328938616,0.010508440293442773,"[0.9464762360055303, 3.2147213208880695e-05, 9.94009900971933e-10, 0.043134843567501024, 0.010356772219750145]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-5,56,-0.041920777,-0.1336057,0,0.037281523328938616,0.010508440293442773,"[0.6450708186941471, 0.00024975136857800757, 5.269835463168195e-13, 0.35149655102457067, 0.0031828789121772006]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-5,57,-0.05421332,-0.22073112,3,-0.11916427900347708,-0.2765971146888643,"[0.13220438759375627, 0.0008403455085623995, 8.27176210731091e-18, 0.8668103347820365, 0.00014493211564466947]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-5,58,-0.19589648,0.09422963,4,-0.22210335419955535,-0.001519813838063056,"[0.019163914978364942, 2.3890439625018555e-13, 0.00342408357752261, 4.940195594264159e-07, 0.9774115074243142]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-5,59,0.09615892,0.18102637,0,0.037281523328938616,0.010508440293442773,"[0.9917971091997488, 2.945363114166705e-07, 0.008149467657032207, 2.206925134395878e-06, 5.092168177301249e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-5,60,-0.013711061,-0.07216554,0,0.037281523328938616,0.010508440293442773,"[0.9255720728540283, 0.00010427407441737638, 1.7059401902637895e-10, 0.07082422190044066, 0.003499431000519542]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-5,61,0.49365819,-0.019841706,1,0.40066844685712144,-0.08343589595161922,"[5.3082593681328115e-05, 0.999935521047722, 9.998275904900092e-19, 1.1396358596603221e-05, 1.4448359554155624e-27]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-5,62,-0.096782275,0.2680031,2,-0.09296280011933777,0.3326777637285923,"[0.002370169830478246, 6.011869099231099e-16, 0.9914537850929539, 9.28027034255594e-12, 0.006176045067287143]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-5,63,-0.07022652,-0.30347943,3,-0.11916427900347708,-0.2765971146888643,"[0.02235365299698908, 0.0014299754977932547, 7.90000756826964e-23, 0.97621177422725, 4.597277967605747e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-5,64,-0.08510746,-0.26066056,3,-0.11916427900347708,-0.2765971146888643,"[0.05760663672439925, 0.0004485682641506775, 8.390351522033746e-20, 0.9418589249136701, 8.58700977799759e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-5,65,-0.00251228,0.3769304,2,-0.09296280011933777,0.3326777637285923,"[0.00028163096401364246, 2.984516452750538e-17, 0.9997145340459457, 2.5569720305684053e-15, 3.834990037935034e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-5,66,0.42614552,0.08994585,1,0.40066844685712144,-0.08343589595161922,"[0.02997402385711455, 0.9699663308737945, 5.62709811978538e-11, 5.9645212819963355e-05, 1.5495478657999854e-20]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-5,67,0.25132486,-0.20319358,1,0.40066844685712144,-0.08343589595161922,"[0.0017966794789296937, 0.9763214452279331, 4.0640990395678954e-23, 0.021881875293136285, 9.289787568694607e-16]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-5,68,-0.18157998,0.03947093,4,-0.22210335419955535,-0.001519813838063056,"[0.0460757634547898, 1.6769943794282234e-11, 6.78279542728672e-05, 1.6937279257176134e-05, 0.9538394712949102]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-5,69,-0.12251995,-0.049827244,0,0.037281523328938616,0.010508440293442773,"[0.5344094110487944, 1.8406215926991482e-07, 3.562873076362269e-08, 0.010927893474268023, 0.45466247578604746]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-5,70,-0.18423451,0.25213403,2,-0.09296280011933777,0.3326777637285923,"[0.0003373147939312019, 2.0146772611039623e-18, 0.9804076284458012, 1.7547885517195045e-12, 0.019255056758512964]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-5,71,-0.04843812,0.4040603,2,-0.09296280011933777,0.3326777637285923,"[2.9272918892614807e-05, 5.761620489701211e-20, 0.9999674136887047, 2.778630507671831e-17, 3.3133924026689274e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-5,72,0.25011468,-0.18353273,1,0.40066844685712144,-0.08343589595161922,"[0.0034296478544564722, 0.9710616549164182, 8.419129948617255e-22, 0.025508697229122176, 3.290344282039136e-15]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-5,73,0.24778247,-0.18444899,1,0.40066844685712144,-0.08343589595161922,"[0.003632589927560205, 0.9689830882925838, 8.577888469952869e-22, 0.027384321779851572, 4.247474700015643e-15]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-5,74,-0.17648138,-0.41862112,3,-0.11916427900347708,-0.2765971146888643,"[0.0035499538317877335, 0.0001863565123153316, 9.401636622668718e-29, 0.9962629658505763, 7.238053207785201e-07]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-5,75,-0.16704087,-0.3598848,3,-0.11916427900347708,-0.2765971146888643,"[0.00889898889225165, 9.082046517798163e-05, 6.565785596872962e-25, 0.9909982783102407, 1.1912332329743931e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-5,76,0.61073065,0.018717432,1,0.40066844685712144,-0.08343589595161922,"[1.9746646258756146e-06, 0.9999977710584522, 1.1528042037007475e-19, 2.5427692177503724e-07, 6.616850610471007e-36]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-5,77,-0.07488669,0.3827278,2,-0.09296280011933777,0.3326777637285923,"[2.8972474185446544e-05, 4.4687310350118954e-20, 0.9999569227179597, 9.197331715837209e-17, 1.4104807854923386e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-5,78,0.022653038,0.24370801,2,-0.09296280011933777,0.3326777637285923,"[0.24000719436448947, 9.63974114758871e-11, 0.7584291865415904, 9.959333390377921e-09, 0.0015636090381894428]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-5,79,0.24368975,0.18879418,0,0.037281523328938616,0.010508440293442773,"[0.9995189862793679, 0.0002165587076804522, 0.00025973418822071215, 4.720540894988e-06, 2.838358293234484e-10]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-5,80,-0.16938657,-0.05973538,4,-0.22210335419955535,-0.001519813838063056,"[0.215458127083223, 1.348688174611433e-08, 2.9317457473212205e-08, 0.005263735578489765, 0.7792780945339478]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-5,81,-0.25151917,-0.28693447,3,-0.11916427900347708,-0.2765971146888643,"[0.04338529705526475, 9.722970238362385e-07, 1.394833053196468e-18, 0.9512605990431199, 0.005353131604591571]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-5,82,0.04577409,-0.24324691,3,-0.11916427900347708,-0.2765971146888643,"[0.05832740725207847, 0.04459392225239537, 7.142903774331552e-21, 0.8970785459036549, 1.245918712429691e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-5,83,-0.22563006,-0.049784996,4,-0.22210335419955535,-0.001519813838063056,"[0.0499627518065004, 1.4718067405119872e-10, 1.3579311732061222e-07, 0.0006561074735243794, 0.9493810047796774]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-5,84,-0.20074943,0.040258985,4,-0.22210335419955535,-0.001519813838063056,"[0.02753900552956743, 3.8181871975024565e-12, 8.491158224707098e-05, 8.84938932454375e-06, 0.9723672334950426]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-5,85,-0.1496939,0.30529067,2,-0.09296280011933777,0.3326777637285923,"[7.402019738583326e-05, 1.501394042002109e-19, 0.9987252859334896, 1.9303514166460555e-14, 0.001200693869105177]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-5,86,0.2630342,0.051892787,0,0.037281523328938616,0.010508440293442773,"[0.8793849284604452, 0.11794977142113959, 3.991843799734287e-09, 0.0026652961102330897, 1.6338221113475117e-11]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-5,87,0.61719507,-0.024593957,1,0.40066844685712144,-0.08343589595161922,"[4.4683124793972827e-07, 0.9999992897602161, 3.3400459740823643e-22, 2.634085359688162e-07, 3.0367547135857588e-37]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-5,88,-0.14552048,-0.15470643,0,0.037281523328938616,0.010508440293442773,"[0.5030230190235435, 5.2481973465860734e-06, 1.6512267557109543e-12, 0.37046885272312247, 0.12650288005433613]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-5,89,0.004352061,-0.07103703,0,0.037281523328938616,0.010508440293442773,"[0.9246483123868968, 0.00021849713806080775, 1.0491877311709913e-10, 0.07383419201213624, 0.0012989983579876146]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-5,90,-0.31772932,0.41427824,2,-0.09296280011933777,0.3326777637285923,"[5.3957987253880485e-09, 1.4300126810440212e-30, 0.9999989225597323, 2.2077387167602144e-22, 1.0720444692797059e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-5,91,-0.118134014,0.26676714,2,-0.09296280011933777,0.3326777637285923,"[0.0013024877048775905, 1.1532484357537423e-16, 0.990718819654861, 4.651539403614329e-12, 0.007978692635609921]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-5,92,-0.19037005,0.30377576,2,-0.09296280011933777,0.3326777637285923,"[2.1846035307804502e-05, 5.36281733375352e-21, 0.9987532327846581, 4.534255317373116e-15, 0.0012249211800296072]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-5,93,-0.18803668,0.09546091,4,-0.22210335419955535,-0.001519813838063056,"[0.023412697114406633, 4.054225896115895e-13, 0.003495034380902374, 5.943067159543912e-07, 0.9730916741975696]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-5,94,0.32727078,-0.11709024,1,0.40066844685712144,-0.08343589595161922,"[0.0014979260765717597, 0.9959004988629803, 7.830987041206907e-20, 0.0026015750604478144, 2.8087962772303267e-18]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-5,95,0.3095995,0.5030761,2,-0.09296280011933777,0.3326777637285923,"[0.010491756230646044, 2.0808603524891763e-11, 0.9895082437485447, 4.068505934475196e-16, 4.77535071718119e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-5,96,-0.26364937,-0.38828564,3,-0.11916427900347708,-0.2765971146888643,"[0.005885704279677547, 3.640428724935494e-06, 4.191253285549029e-25, 0.9940812134508848, 2.9441840712688056e-05]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-5,97,-0.25224024,-0.31188005,3,-0.11916427900347708,-0.2765971146888643,"[0.025157218614552532, 1.4365247979377398e-06, 3.403807023116759e-20, 0.9734051939700433, 0.0014361508906061112]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-5,98,-0.30068702,-0.14781809,4,-0.22210335419955535,-0.001519813838063056,"[0.0874816779596768, 6.796451288613843e-10, 2.1990483381404204e-10, 0.03195691032120685, 0.8805614108195663]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-5,99,-0.09486352,0.005280091,0,0.037281523328938616,0.010508440293442773,"[0.6112690488471538, 6.554978220027067e-08, 2.4660921398324025e-06, 0.0015558379732404331, 0.38717258153768386]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-6,0,0.08799766,-0.06060414,0,0.0427577370990756,0.005247990488942775,"[0.933816864280329, 0.0039942379491615596, 1.0956702948588177e-11, 0.062180906264506175, 7.991495046678118e-06]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-6,1,-0.08406016,0.2851326,2,-0.09439776903147923,0.33276233402626737,"[0.004068228613107685, 9.331854312727611e-17, 0.9943676897767368, 1.573380563550265e-10, 0.0015640814528172738]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-6,2,-0.16364236,-0.11411294,4,-0.22116285947009362,0.0003205084323621392,"[0.3933536414222573, 2.804266988627026e-07, 1.6588813484297173e-10, 0.1499604725438634, 0.4566856054412922]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-6,3,0.07371062,-0.27021888,3,-0.13166962999242665,-0.2751748826190349,"[0.1073921021348489, 0.17971175309213286, 2.0272780800056437e-23, 0.7128961421533654, 2.619652900380445e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-6,4,-0.1284643,0.3103237,2,-0.09439776903147923,0.33276233402626737,"[0.0004527969414401968, 1.4370672569898368e-19, 0.9990179358169056, 3.740812912321398e-12, 0.0005292672379131137]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-6,5,-0.23808402,0.26056772,2,-0.09439776903147923,0.33276233402626737,"[0.00015293487153226711, 1.8084110613219258e-21, 0.9949374362739167, 1.2025072139962483e-11, 0.004909628842525844]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-6,6,-0.10493148,-0.30384988,3,-0.13166962999242665,-0.2751748826190349,"[0.04749480459682068, 0.0003963784799232664, 1.4898729256436227e-22, 0.952098707802528, 1.0109120727930954e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-6,7,-0.295713,-0.42771262,3,-0.13166962999242665,-0.2751748826190349,"[0.005847572429736189, 2.3399399034819053e-06, 1.6154410606589008e-27, 0.9941485203981602, 1.5672322001467352e-06]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-6,8,-0.3188932,-0.023905918,4,-0.22116285947009362,0.0003205084323621392,"[0.007579534675489195, 3.7211982192384295e-14, 7.440480511038493e-06, 0.00015632096357573618, 0.9922567038803869]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-6,9,0.52375084,0.03593809,1,0.40101135222136347,-0.08431752781116728,"[0.0002018116348802703, 0.9997977958152969, 7.16701075283871e-17, 3.925498227600805e-07, 4.260753217574684e-28]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-6,10,-0.24769914,0.06194072,4,-0.22116285947009362,0.0003205084323621392,"[0.00914828683450248, 1.5395449315617396e-14, 0.0006982731600412043, 7.92526262008193e-06, 0.990145514742821]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-6,11,0.45866024,0.07679337,1,0.40101135222136347,-0.08431752781116728,"[0.007339617334385969, 0.9926559760407999, 7.481381170460976e-13, 4.406624065869346e-06, 1.5897427053695375e-22]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-6,12,-0.21952832,-0.2596673,3,-0.13166962999242665,-0.2751748826190349,"[0.07228681327506511, 1.7192499185428679e-06, 1.181502191271015e-17, 0.9219552494901971, 0.005756217984819187]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-6,13,0.5387558,-0.021885695,1,0.40101135222136347,-0.08431752781116728,"[3.062033762657028e-05, 0.9999690934851325, 1.642551366948277e-20, 2.861772409152996e-07, 2.049312208800727e-30]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-6,14,-0.31746334,-0.03755091,4,-0.22116285947009362,0.0003205084323621392,"[0.009041889813549406, 1.0021893951216381e-13, 2.525292651083455e-06, 0.0003023773971867634, 0.9906532074965124]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-6,15,0.21572201,0.15297481,0,0.0427577370990756,0.005247990488942775,"[0.9997093656885511, 0.0002163965188417922, 3.614799956038603e-05, 3.80833876939413e-05, 6.405352902824277e-09]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-6,16,-0.17784788,-0.16018736,3,-0.13166962999242665,-0.2751748826190349,"[0.3466400327988084, 9.361547851215068e-07, 1.641135402286702e-12, 0.45587588267699375, 0.19748314836777167]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-6,17,0.12485067,-0.17534988,3,-0.13166962999242665,-0.2751748826190349,"[0.35509928535299, 0.274809287127916, 2.3123401689888095e-18, 0.3700914202048615, 7.314232507355271e-09]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-6,18,-0.045080878,-0.32160506,3,-0.13166962999242665,-0.2751748826190349,"[0.045284373655485266, 0.0051379624506729905, 8.778165486246791e-25, 0.9495774480609117, 2.1583292992503174e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-6,19,-0.29219365,-0.1354431,4,-0.22116285947009362,0.0003205084323621392,"[0.062299527640685734, 3.338289202326593e-10, 4.5283171283668935e-10, 0.04590012281202904, 0.8918003487606246]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-6,20,0.22983314,0.005944166,0,0.0427577370990756,0.005247990488942775,"[0.8726585891912847, 0.12058383880487737, 7.98642908617167e-11, 0.006757571618141576, 3.058319295567152e-10]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-6,21,-0.2313607,0.15489271,4,-0.22116285947009362,0.0003205084323621392,"[0.009492387778702628, 1.578989805967836e-16, 0.22174887210189045, 1.498108476824831e-07, 0.768758590308559]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-6,22,0.44196302,-0.22339565,1,0.40101135222136347,-0.08431752781116728,"[1.745775356654192e-05, 0.9999698585780098, 2.1597125703111528e-30, 1.2683668423775907e-05, 3.3022140512103845e-28]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-6,23,0.31953293,-0.23248373,1,0.40101135222136347,-0.08431752781116728,"[0.0005279230281559977, 0.9987120621296424, 1.4568358427172072e-27, 0.0007600148422015763, 1.3464565721264236e-20]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-6,24,0.0025802255,-0.08199731,0,0.0427577370990756,0.005247990488942775,"[0.8803144016305741, 0.00023372868879922758, 2.223891567125163e-11, 0.11833148275762445, 0.0011203869007634908]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-6,25,0.023439856,-0.079839304,0,0.0427577370990756,0.005247990488942775,"[0.8891526089121521, 0.0005251030138934739, 1.3355218178675654e-11, 0.1099784968418522, 0.0003437912187471573]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-6,26,-0.06371302,0.3954228,2,-0.09439776903147923,0.33276233402626737,"[0.00016113975204869887, 8.457173289347804e-21, 0.9998357192061466, 1.302379045393162e-14, 3.1410417915711494e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-6,27,-0.2963673,0.015343715,4,-0.22116285947009362,0.0003205084323621392,"[0.0063191367497781, 1.1332041570768264e-14, 7.25253060973099e-05, 3.152738994972548e-05, 0.9935768105541635]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-6,28,0.08612508,0.3898904,2,-0.09439776903147923,0.33276233402626737,"[0.0057720753979468254, 3.9153293846638796e-15, 0.9942278590451261, 1.2708957722571232e-12, 6.555565222932687e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-6,29,-0.20296153,0.2345368,2,-0.09439776903147923,0.33276233402626737,"[0.00135422667035593, 7.430557500619607e-19, 0.965504130075511, 4.773047443219219e-10, 0.03314164277682836]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-6,30,-0.3021013,-0.23802479,3,-0.13166962999242665,-0.2751748826190349,"[0.08747739571285779, 2.8915641561953676e-08, 7.838879037719005e-15, 0.8313596337111621, 0.08116294166033101]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-6,31,0.40233114,0.06031101,1,0.40101135222136347,-0.08431752781116728,"[0.039471444885273176, 0.960484679757393, 4.031630178021862e-12, 4.3875353302153425e-05, 5.90772580688029e-19]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-6,32,-0.31179968,-0.050893012,4,-0.22116285947009362,0.0003205084323621392,"[0.011356707716315731, 3.416614353443286e-13, 7.631425728448302e-07, 0.000603916882520969, 0.9880386122582487]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-6,33,0.11298243,0.035079706,0,0.0427577370990756,0.005247990488942775,"[0.9965111055821727, 0.00029717536440138304, 5.3134253904551516e-08, 0.003183615751173199, 8.050167998897604e-06]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-6,34,-0.23456638,0.06657637,4,-0.22116285947009362,0.0003205084323621392,"[0.01132055934816869, 2.943632473525283e-14, 0.0007742309073412152, 8.320380355751344e-06, 0.987896889364105]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-6,35,0.11017645,-0.16371755,0,0.0427577370990756,0.005247990488942775,"[0.46122293177721113, 0.14796368256579895, 2.1589407979087827e-17, 0.39081334192792694, 4.3729063084419735e-08]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-6,36,0.1429859,0.059452157,0,0.0427577370990756,0.005247990488942775,"[0.9982330636454922, 0.000416681184247341, 1.7715948592295658e-07, 0.001348913302621659, 1.1647081525952818e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-6,37,-0.040502112,0.02318828,0,0.0427577370990756,0.005247990488942775,"[0.9204867297485831, 3.9113708587843723e-07, 2.550926946941262e-06, 0.004388819250266073, 0.07512150893711798]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-6,38,-0.06471333,0.08954511,0,0.0427577370990756,0.005247990488942775,"[0.6904275511885544, 3.4579601861587603e-09, 0.0009209333000911177, 0.0002609751016281604, 0.30839053695176644]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-6,39,0.06407858,0.09707585,0,0.0427577370990756,0.005247990488942775,"[0.9992067759741217, 1.9917441180157e-06, 4.256105217499701e-05, 0.0003200180033433355, 0.00042865322624220436]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-6,40,-0.021407472,0.09407413,0,0.0427577370990756,0.005247990488942775,"[0.9446456604667917, 3.3030843103558254e-08, 0.00044889662726138113, 0.00031388518909254096, 0.054591524686011236]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-6,41,-0.056248758,0.025906589,0,0.0427577370990756,0.005247990488942775,"[0.8444477662011001, 1.4904427757792692e-07, 5.027072265342135e-06, 0.00362750738703193, 0.15191955029532514]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-6,42,-0.15132618,0.02146309,4,-0.22116285947009362,0.0003205084323621392,"[0.11796479391054904, 2.5060854444086867e-10, 1.2526563022254288e-05, 0.0005572090816226298, 0.8814654701941974]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-6,43,-0.18518934,0.0027779788,4,-0.22116285947009362,0.0003205084323621392,"[0.05583844918039231, 5.7213783277643956e-11, 3.99113570552391e-06, 0.0005051935458411346, 0.9436523660808472]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-6,44,0.5118622,-0.024860546,1,0.40101135222136347,-0.08431752781116728,"[7.155138343172283e-05, 0.9999276698328985, 5.955414431654943e-20, 7.787836697452505e-07, 1.7604373495330773e-28]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-6,45,-0.0018669573,0.3644946,2,-0.09439776903147923,0.33276233402626737,"[0.0016919539217351697, 3.0954531183626174e-17, 0.9983036299450915, 1.119365257135047e-12, 4.4161320538364875e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-6,46,-0.24925767,0.015651966,4,-0.22116285947009362,0.0003205084323621392,"[0.012080912595848458, 2.4613821036465953e-13, 2.5591349015928367e-05, 6.362834789388238e-05, 0.9878298677069954]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-6,47,0.2804453,-0.1894261,1,0.40101135222136347,-0.08431752781116728,"[0.004208046159800317, 0.9922763985555291, 1.5676778383225838e-23, 0.0035155552846706057, 3.993069030082547e-17]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-6,48,0.37225774,-0.11562894,1,0.40101135222136347,-0.08431752781116728,"[0.0010500783204350436, 0.9988002843791988, 1.7993946504748552e-21, 0.00014963730036607722, 6.498784373596977e-21]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-6,49,0.1460578,0.21914145,0,0.0427577370990756,0.005247990488942775,"[0.9818141818035043, 2.978255652715789e-07, 0.018181919266063853, 1.9067057148364769e-06, 1.694399151554291e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-6,50,0.07159563,-0.024327766,0,0.0427577370990756,0.005247990488942775,"[0.9770571629888307, 0.0005213934551738986, 7.79565808694769e-10, 0.02236651113313293, 5.4931643296561677e-05]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-6,51,-0.078428976,-0.18954016,3,-0.13166962999242665,-0.2751748826190349,"[0.30607181646537324, 0.00016016179458092265, 8.787535740976485e-16, 0.6923551930730347, 0.0014128286670100794]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-6,52,-0.23586994,0.37846398,2,-0.09439776903147923,0.33276233402626737,"[3.366647504712079e-06, 1.009123636239546e-26, 0.999987683086722, 3.115699009659272e-16, 8.95026577301595e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-6,53,-0.15925287,-0.015642455,4,-0.22116285947009362,0.0003205084323621392,"[0.1384687013554004, 1.2723414312824545e-09, 7.698453847803821e-07, 0.002437062415664213, 0.8590934651112092]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-6,54,0.38273144,-0.19184409,1,0.40101135222136347,-0.08431752781116728,"[0.00016131343917404173, 0.9997440701465711, 1.1861344926682419e-26, 9.461641425474742e-05, 1.7384580088266347e-23]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-6,55,-0.029614072,-0.05991212,0,0.0427577370990756,0.005247990488942775,"[0.9217765134977485, 2.5046778952977713e-05, 7.191241426801001e-10, 0.06695289481597443, 0.011245544188199843]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-6,56,-0.041920777,-0.1336057,0,0.0427577370990756,0.005247990488942775,"[0.6372623148516856, 0.00018865739122120287, 3.0152780831908146e-13, 0.360008305455869, 0.002540722300922577]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-6,57,-0.05421332,-0.22073112,3,-0.13166962999242665,-0.2751748826190349,"[0.19506676630635564, 0.0007712749795627989, 4.4879046371765735e-18, 0.8040683838064259, 9.357490765574488e-05]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-6,58,-0.19589648,0.09422963,4,-0.22116285947009362,0.0003205084323621392,"[0.023550721446244895, 1.0006754350463853e-13, 0.003233513934866021, 5.930291090202678e-06, 0.9732098343276988]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-6,59,0.09615892,0.18102637,0,0.0427577370990756,0.005247990488942775,"[0.9933635688170476, 1.627464050340378e-07, 0.006561257247378271, 9.937377684654073e-06, 6.507381148453348e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-6,60,-0.013711061,-0.07216554,0,0.0427577370990756,0.005247990488942775,"[0.9032315889100925, 8.091865925489465e-05, 1.1421718999702224e-10, 0.09308026100327396, 0.003607231313161415]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-6,61,0.49365819,-0.019841706,1,0.40101135222136347,-0.08431752781116728,"[0.00015041589934000713, 0.9998480766907775, 3.653594962819751e-19, 1.5074098824200384e-06, 4.803732527502549e-27]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-6,62,-0.096782275,0.2680031,2,-0.09439776903147923,0.33276233402626737,"[0.006080561562328835, 1.962017341892498e-16, 0.9891590066678749, 5.545080910754226e-10, 0.004760431215287959]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-6,63,-0.07022652,-0.30347943,3,-0.13166962999242665,-0.2751748826190349,"[0.05304278550597731, 0.0015133801047273107, 3.9320984945885766e-23, 0.945441678680158, 2.155709137427351e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-6,64,-0.08510746,-0.26066056,3,-0.13166962999242665,-0.2751748826190349,"[0.09619212741146972, 0.0004335625454580483, 4.508220868182062e-20, 0.9033262876850738, 4.80223579983637e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-6,65,-0.00251228,0.3769304,2,-0.09439776903147923,0.33276233402626737,"[0.0011344589256040692, 8.867904085765246e-18, 0.9988632057717952, 3.643438693544423e-13, 2.3353022362593055e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-6,66,0.42614552,0.08994585,1,0.40101135222136347,-0.08431752781116728,"[0.039213214712258145, 0.9607711186760615, 3.1008410443532536e-11, 1.566658067201744e-05, 5.516806864185654e-20]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-6,67,0.25132486,-0.20319358,1,0.40101135222136347,-0.08431752781116728,"[0.007951586888688696, 0.982643377290689, 1.3933649606597834e-23, 0.009405035820621443, 8.177888452069396e-16]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-6,68,-0.18157998,0.03947093,4,-0.22116285947009362,0.0003205084323621392,"[0.04396663439864846, 7.98982541023824e-12, 5.8830447627624126e-05, 0.00010226530392302664, 0.9558722698418112]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-6,69,-0.12251995,-0.049827244,4,-0.22116285947009362,0.0003205084323621392,"[0.48607500001222287, 1.282340981681626e-07, 2.9408333796953972e-08, 0.026723119279930006, 0.4872017230654151]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-6,70,-0.18423451,0.25213403,2,-0.09439776903147923,0.33276233402626737,"[0.0010530555946903029, 5.542470431784564e-19, 0.9852381644992023, 1.5989667838640118e-10, 0.013708779746210868]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-6,71,-0.04843812,0.4040603,2,-0.09439776903147923,0.33276233402626737,"[0.00018622809891988108, 1.3967263693358057e-20, 0.9998121938961331, 9.625692305221903e-15, 1.5780049373777727e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-6,72,0.25011468,-0.18353273,1,0.40101135222136347,-0.08431752781116728,"[0.012881808713839604, 0.9763692602540712, 3.058840402676917e-22, 0.010748931032085896, 3.192271712094544e-15]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-6,73,0.24778247,-0.18444899,1,0.40101135222136347,-0.08431752781116728,"[0.013608444302675736, 0.9747492447126032, 3.1233109595146913e-22, 0.011642310984716981, 4.0902219197839185e-15]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-6,74,-0.17648138,-0.41862112,3,-0.13166962999242665,-0.2751748826190349,"[0.01007118506194558, 0.0001826259909007378, 3.717116272577252e-29, 0.9897460268687831, 1.6207837058367672e-07]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-6,75,-0.16704087,-0.3598848,3,-0.13166962999242665,-0.2751748826190349,"[0.01873821445451362, 9.101969256212256e-05, 3.1549555214793834e-25, 0.9811666765315614, 4.0893213626809435e-06]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-6,76,0.61073065,0.018717432,1,0.40101135222136347,-0.08431752781116728,"[6.3821236004807025e-06, 0.9999936013690757, 3.8011489508012406e-20, 1.6507323908915762e-08, 3.7716495620525925e-35]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-6,77,-0.07488669,0.3827278,2,-0.09439776903147923,0.33276233402626737,"[0.00017187405671439046, 1.0791918985551459e-20, 0.9998210960826481, 2.8146110068320383e-14, 7.0298606091315315e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-6,78,0.022653038,0.24370801,2,-0.09439776903147923,0.33276233402626737,"[0.34045167872077586, 3.9845844264308616e-11, 0.658063394283913, 1.5474338714237292e-07, 0.0014847722120780223]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-6,79,0.24368975,0.18879418,0,0.0427577370990756,0.005247990488942775,"[0.9996142234233333, 0.00016532984686580966, 0.00021180061937105558, 8.645518159419036e-06, 5.922702878077837e-10]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-6,80,-0.16938657,-0.05973538,4,-0.22116285947009362,0.0003205084323621392,"[0.18713048264290805, 8.787337560896237e-09, 2.4465567829322848e-08, 0.014102208696856402, 0.7987672754073302]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-6,81,-0.25151917,-0.28693447,3,-0.13166962999242665,-0.2751748826190349,"[0.04223636569073628, 7.691241112449433e-07, 8.08363109879157e-19, 0.9550906302230417, 0.0026722349621105495]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-6,82,0.04577409,-0.24324691,3,-0.13166962999242665,-0.2751748826190349,"[0.16554053293235302, 0.05155264314236918, 3.705075522113556e-21, 0.7829067368473307, 8.707794705126397e-08]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-6,83,-0.22563006,-0.049784996,4,-0.22116285947009362,0.0003205084323621392,"[0.04203641374011053, 8.365520201072704e-11, 1.1684177704506905e-07, 0.0022689154932668924, 0.9556945538411903]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-6,84,-0.20074943,0.040258985,4,-0.22116285947009362,0.0003205084323621392,"[0.02701872685801245, 1.7637196889919508e-12, 7.506022129379972e-05, 5.9468147032142294e-05, 0.9728467447718978]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-6,85,-0.1496939,0.30529067,2,-0.09439776903147923,0.33276233402626737,"[0.0003089180205417234, 3.7976281982893294e-20, 0.9989582894666112, 3.0841859656270635e-12, 0.0007327925097628466]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-6,86,0.2630342,0.051892787,0,0.0427577370990756,0.005247990488942775,"[0.9023586021046817, 0.0961221994448095, 2.2539209921760575e-09, 0.0015191961658662025, 3.072188148343023e-11]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-6,87,0.61719507,-0.024593957,1,0.40101135222136347,-0.08431752781116728,"[2.1944106950956216e-06, 0.9999977883013047, 9.75352178803976e-23, 1.728800023344904e-08, 1.5555555113156308e-36]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-6,88,-0.14552048,-0.15470643,3,-0.13166962999242665,-0.2751748826190349,"[0.4304137872155459, 3.722438092083886e-06, 1.0436760941164669e-12, 0.47496439500121146, 0.09461809534410699]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-6,89,0.004352061,-0.07103703,0,0.0427577370990756,0.005247990488942775,"[0.9092434080427249, 0.00016946141831678012, 6.77101420730552e-11, 0.08924887188647836, 0.0013382585847699514]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-6,90,-0.31772932,0.41427824,2,-0.09439776903147923,0.33276233402626737,"[2.0067679203343703e-07, 1.583777319261156e-31, 0.9999994837999915, 1.2087035143686238e-18, 3.1552321655222014e-07]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-6,91,-0.118134014,0.26676714,2,-0.09439776903147923,0.33276233402626737,"[0.003566472647864418, 3.582491297561715e-17, 0.9904816153112314, 3.214075065448378e-10, 0.005951911719496679]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-6,92,-0.19037005,0.30377576,2,-0.09439776903147923,0.33276233402626737,"[0.0001075007467629565, 1.2224098979996038e-21, 0.9991852262720061, 9.794584015307032e-13, 0.0007072729802514716]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-6,93,-0.18803668,0.09546091,4,-0.22116285947009362,0.0003205084323621392,"[0.028417237807196412, 1.7128378334912433e-13, 0.0032768823766093575, 6.8996769312916144e-06, 0.9682989801390917]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-6,94,0.32727078,-0.11709024,1,0.40101135222136347,-0.08431752781116728,"[0.004664043842262914, 0.9945479508320602, 2.96006394263481e-20, 0.0007880053256769783, 4.2044718183936925e-18]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-6,95,0.3095995,0.5030761,2,-0.09439776903147923,0.33276233402626737,"[0.027983023995722587, 9.166534737038336e-12, 0.9720169759950937, 1.6958460942568607e-14, 4.580081629087762e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-6,96,-0.26364937,-0.38828564,3,-0.13166962999242665,-0.2751748826190349,"[0.009737949290565581, 3.5959828079265087e-06, 2.219713381588488e-25, 0.9902487133083288, 9.741418297640478e-06]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-6,97,-0.25224024,-0.31188005,3,-0.13166962999242665,-0.2751748826190349,"[0.02810542906516176, 1.2279803038115513e-06, 1.9646431198396308e-20, 0.9712263451945573, 0.0006669977599769627]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-6,98,-0.30068702,-0.14781809,4,-0.22116285947009362,0.0003205084323621392,"[0.07141868894617201, 4.6229847094951024e-10, 1.9583207817747807e-10, 0.0744316737099726, 0.8541496366857249]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-6,99,-0.09486352,0.005280091,0,0.0427577370990756,0.005247990488942775,"[0.5616061319915598, 4.1621135434103816e-08, 2.0732011656596534e-06, 0.004925608818104004, 0.4334661443680351]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-7,0,0.08799766,-0.06060414,0,0.020754855109218255,-0.0015496373271435444,"[0.9882895792530237, 0.002352471553360791, 8.05866393962611e-12, 0.009357413745644092, 5.354399127781973e-07]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-7,1,-0.08406016,0.2851326,2,-0.09021008434208137,0.33599657753345624,"[0.0018671868775310605, 2.2491229137747818e-17, 0.9862298816903031, 8.321828111576015e-26, 0.01190293143216582]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-7,2,-0.16364236,-0.11411294,0,0.020754855109218255,-0.0015496373271435444,"[0.5078584950130522, 3.5303545338683676e-08, 5.09839701976385e-11, 0.0005815141815586239, 0.49155995545085973]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-7,3,0.07371062,-0.27021888,3,-0.10069489455834035,-0.2953687230393288,"[0.026072402255514, 0.06498497525984027, 4.4569186912082065e-24, 0.9089426171131797, 5.3714659873619725e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-7,4,-0.1284643,0.3103237,2,-0.09021008434208137,0.33599657753345624,"[0.00014846974875449697, 2.6444009523703868e-20, 0.9882577143137773, 6.125637002722972e-30, 0.011593815937468228]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-7,5,-0.23808402,0.26056772,2,-0.09021008434208137,0.33599657753345624,"[5.3828294288420944e-05, 1.6028517958942805e-22, 0.9315657358439654, 1.5336461509216816e-29, 0.06838043586174623]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-7,6,-0.10493148,-0.30384988,3,-0.10069489455834035,-0.2953687230393288,"[0.032067358402361176, 8.764741925986913e-05, 2.5797654877400765e-23, 0.9674805398617192, 0.00036445431665972156]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-7,7,-0.295713,-0.42771262,3,-0.10069489455834035,-0.2953687230393288,"[0.007095743224674532, 2.0227186261905641e-07, 1.1402552660086897e-28, 0.9903234753243877, 0.0025805791790750898]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-7,8,-0.3188932,-0.023905918,4,-0.22886858892395276,-0.010936348578798346,"[0.018125432483970638, 2.582863948805903e-15, 4.543812834323352e-06, 3.782279106540957e-11, 0.9818700236653697]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-7,9,0.52375084,0.03593809,1,0.4088955226662046,-0.08058117742215871,"[9.539700363350637e-05, 0.9998837026064318, 1.277541948429592e-16, 2.090038993451045e-05, 3.4624597807558636e-35]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-7,10,-0.24769914,0.06194072,4,-0.22886858892395276,-0.010936348578798346,"[0.011702168969498385, 1.3398544183163904e-15, 0.00044491045672827827, 1.6488080902716442e-14, 0.9878529205737555]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-7,11,0.45866024,0.07679337,1,0.4088955226662046,-0.08058117742215871,"[0.004945796169370302, 0.9950264777339001, 1.1455477679926812e-12, 2.7726095583965027e-05, 1.4877904354813822e-28]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-7,12,-0.21952832,-0.2596673,3,-0.10069489455834035,-0.2953687230393288,"[0.2389585033171465, 4.459164538066008e-07, 4.8994779113468616e-18, 0.5631297599182573, 0.19791129084814252]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-7,13,0.5387558,-0.021885695,1,0.4088955226662046,-0.08058117742215871,"[9.272342624574505e-06, 0.9999632288469646, 2.996996863300919e-20, 2.7498810410822474e-05, 1.4388141937511355e-37]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-7,14,-0.31746334,-0.03755091,4,-0.22886858892395276,-0.010936348578798346,"[0.021845298548332465, 6.83278336541597e-15, 1.4198488971597002e-06, 2.1402714381392936e-10, 0.9781532813887364]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-7,15,0.21572201,0.15297481,0,0.020754855109218255,-0.0015496373271435444,"[0.9998045190914933, 0.00015791479714756426, 3.7561027742577375e-05, 5.063670465812695e-09, 1.9946164274424657e-11]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-7,16,-0.17784788,-0.16018736,0,0.020754855109218255,-0.0015496373271435444,"[0.5255333641639495, 1.2985012806929069e-07, 4.881529419267254e-13, 0.010927871945149922, 0.4635386340402845]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-7,17,0.12485067,-0.17534988,3,-0.10069489455834035,-0.2953687230393288,"[0.14582567997937174, 0.13455888809793265, 9.406670517901512e-19, 0.7196154310235563, 8.991393318303885e-10]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-7,18,-0.045080878,-0.32160506,3,-0.10069489455834035,-0.2953687230393288,"[0.018722893359211203, 0.0014619795220486142, 1.4903910447389143e-25, 0.9798066148584833, 8.512260256750301e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-7,19,-0.29219365,-0.1354431,4,-0.22886858892395276,-0.010936348578798346,"[0.08492416683055633, 1.3925898821031692e-11, 8.559313359853236e-11, 1.929526109327371e-05, 0.9150565378088314]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-7,20,0.22983314,0.005944166,0,0.020754855109218255,-0.0015496373271435444,"[0.8812020334838587, 0.1162820561715024, 9.312850592653619e-11, 0.002515910250832068, 6.78408645466887e-13]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-7,21,-0.2313607,0.15489271,4,-0.22886858892395276,-0.010936348578798346,"[0.003955002193350074, 7.940693203641984e-18, 0.09325129076009343, 3.748770374180257e-20, 0.9027937070465565]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-7,22,0.44196302,-0.22339565,1,0.4088955226662046,-0.08058117742215871,"[1.181022408246913e-06, 0.9999660529821731, 2.0957926086165333e-30, 3.276599541853384e-05, 3.6320407402584726e-32]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-7,23,0.31953293,-0.23248373,1,0.4088955226662046,-0.08058117742215871,"[7.066313610738961e-05, 0.9974616979133571, 1.0453762843472156e-27, 0.002467638950535611, 9.056818744090255e-23]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-7,24,0.0025802255,-0.08199731,0,0.020754855109218255,-0.0015496373271435444,"[0.993803683909119, 8.858746439945567e-05, 1.217429673235522e-11, 0.00581206645068138, 0.0002956621636258448]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-7,25,0.023439856,-0.079839304,0,0.020754855109218255,-0.0015496373271435444,"[0.9917033568495732, 0.00022593453973151332, 7.883366696804754e-12, 0.008000563841761123, 7.014476105063238e-05]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-7,26,-0.06371302,0.3954228,2,-0.09021008434208137,0.33599657753345624,"[3.203699906924814e-05, 2.275957400728361e-21, 0.9996224329596065, 1.5200166254132537e-35, 0.0003455300413243082]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-7,27,-0.2963673,0.015343715,4,-0.22886858892395276,-0.010936348578798346,"[0.011975218816459254, 8.543692174201278e-16, 4.764482175323743e-05, 6.582224402061343e-13, 0.9879771363611284]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-7,28,0.08612508,0.3898904,2,-0.09021008434208137,0.33599657753345624,"[0.0021229799385246786, 2.114975604261462e-15, 0.9978766149528565, 5.177712671582665e-29, 4.05108616664242e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-7,29,-0.20296153,0.2345368,2,-0.09021008434208137,0.33599657753345624,"[0.0005823981837180994, 7.588191123668316e-20, 0.7882932086965495, 1.07901964150114e-25, 0.21112439311973238]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-7,30,-0.3021013,-0.23802479,4,-0.22886858892395276,-0.010936348578798346,"[0.2249046457229706, 2.2399435235826743e-09, 1.7183041207722623e-15, 0.05030508072798302, 0.724790271309101]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-7,31,0.40233114,0.06031101,1,0.4088955226662046,-0.08058117742215871,"[0.02829978836652462, 0.9715759482909525, 5.633461401792951e-12, 0.00012426333688960587, 4.677345049567711e-24]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-7,32,-0.31179968,-0.050893012,4,-0.22886858892395276,-0.010936348578798346,"[0.02658335362200402, 2.2888841575596567e-14, 3.8382597166011116e-07, 1.3072682036033175e-09, 0.9734162612447332]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-7,33,0.11298243,0.035079706,0,0.020754855109218255,-0.0015496373271435444,"[0.9998299485609887, 0.0001568506078039857, 4.129797125133206e-08, 1.2983544886979528e-05, 1.7598834921506738e-07]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-7,34,-0.23456638,0.06657637,4,-0.22886858892395276,-0.010936348578798346,"[0.014093285780862047, 2.77613923713112e-15, 0.000498005805026396, 1.955209301376584e-14, 0.9854087084140892]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-7,35,0.11017645,-0.16371755,3,-0.10069489455834035,-0.2953687230393288,"[0.244577837707769, 0.07852534122203807, 1.0080327897817287e-17, 0.6768968146506278, 6.419565245737938e-09]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-7,36,0.1429859,0.059452157,0,0.020754855109218255,-0.0015496373271435444,"[0.9997508120725621, 0.00024520346522933465, 1.5101386621070338e-07, 3.819619618685878e-06, 1.3828723622759748e-08]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-7,37,-0.040502112,0.02318828,0,0.020754855109218255,-0.0015496373271435444,"[0.9840203948537933, 9.709867532866755e-08, 1.4262770444620585e-06, 2.9356534057897924e-07, 0.0159777882051463]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-7,38,-0.06471333,0.08954511,0,0.020754855109218255,-0.0015496373271435444,"[0.8675638449263751, 9.74410566522622e-10, 0.0007513369580826482, 8.99025122780705e-11, 0.1316848170512293]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-7,39,0.06407858,0.09707585,0,0.020754855109218255,-0.0015496373271435444,"[0.9999412433849572, 8.362521581147845e-07, 3.2862969764029785e-05, 6.525750022188194e-09, 2.5050867370612084e-05]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-7,40,-0.021407472,0.09407413,0,0.020754855109218255,-0.0015496373271435444,"[0.9876803574605183, 9.741653380033454e-09, 0.0003232384914145955, 3.4153203715574634e-10, 0.011996393964881703]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-7,41,-0.056248758,0.025906589,0,0.020754855109218255,-0.0015496373271435444,"[0.9597014116426913, 3.5879800012253116e-08, 2.920259432299629e-06, 1.2865947336756427e-07, 0.040295503558603]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-7,42,-0.15132618,0.02146309,4,-0.22886858892395276,-0.010936348578798346,"[0.2255123807246385, 5.516621919212927e-11, 1.0192449100831884e-05, 1.6534616036496051e-09, 0.7744774251176328]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-7,43,-0.18518934,0.0027779788,4,-0.22886858892395276,-0.010936348578798346,"[0.10597982413019458, 9.530133103980168e-12, 2.7804532730495363e-06, 1.6585828890698564e-09, 0.8940173937484193]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-7,44,0.5118622,-0.024860546,1,0.4088955226662046,-0.08058117742215871,"[2.2820222604378512e-05, 0.9999232978898344, 9.949563468320692e-20, 5.388188756146037e-05, 3.767773666873123e-35]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-7,45,-0.0018669573,0.3644946,2,-0.09021008434208137,0.33599657753345624,"[0.0005495882559568784, 1.1318768106785836e-17, 0.9993766866901878, 4.5332893278146584e-30, 7.37250538553958e-05]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-7,46,-0.24925767,0.015651966,4,-0.22886858892395276,-0.010936348578798346,"[0.021300955579001656, 2.4688623781604292e-14, 1.6382151296452966e-05, 7.330580329248566e-12, 0.9786826622623466]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-7,47,0.2804453,-0.1894261,1,0.4088955226662046,-0.08058117742215871,"[0.00106267347063684, 0.9754032771022942, 1.2055291968282877e-23, 0.023534049427068823, 2.8979359423936015e-19]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-7,48,0.37225774,-0.11562894,1,0.4088955226662046,-0.08058117742215871,"[0.000288030123731677, 0.9972275715584872, 1.9011188099585803e-21, 0.002484398317781041, 7.347327653061258e-25]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-7,49,0.1460578,0.21914145,0,0.020754855109218255,-0.0015496373271435444,"[0.9796405459061001, 2.022406976998821e-07, 0.020359182273228988, 1.1744955643487478e-13, 6.957985580694559e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-7,50,0.07159563,-0.024327766,0,0.020754855109218255,-0.0015496373271435444,"[0.9992504815146265, 0.0002464362662102016, 5.229001538469902e-10, 0.0004998675644114458, 3.2141318520540604e-06]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-7,51,-0.078428976,-0.18954016,0,0.020754855109218255,-0.0015496373271435444,"[0.5987803863036731, 7.641436137152455e-05, 5.231161545761032e-16, 0.3946058354306841, 0.006537363904270587]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-7,52,-0.23586994,0.37846398,2,-0.09021008434208137,0.33599657753345624,"[3.603655426703262e-07, 8.726206128455241e-28, 0.9972185002875743, 2.8326329771499954e-41, 0.002781139346882999]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-7,53,-0.15925287,-0.015642455,4,-0.22886858892395276,-0.010936348578798346,"[0.26068987999736565, 2.458021323165912e-10, 5.102772050256602e-07, 6.580812257146742e-08, 0.7393095436715045]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-7,54,0.38273144,-0.19184409,1,0.4088955226662046,-0.08058117742215871,"[2.1479580686190036e-05, 0.9993281682346151, 1.0740907675609285e-26, 0.0006503521846987247, 6.30902408897691e-27]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-7,55,-0.029614072,-0.05991212,0,0.020754855109218255,-0.0015496373271435444,"[0.996371854382389, 6.9716614033166035e-06, 3.430494873441363e-10, 0.0005501144206795333, 0.003071059192478943]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-7,56,-0.041920777,-0.1336057,0,0.020754855109218255,-0.0015496373271435444,"[0.9402498060790202, 7.671777317883548e-05, 1.6981122861921728e-13, 0.05707093273594572, 0.002602543411685197]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-7,57,-0.05421332,-0.22073112,3,-0.10069489455834035,-0.2953687230393288,"[0.21893139454981356, 0.0002996781443933847, 1.7503120856373603e-18, 0.7802991665034854, 0.00046976080230780965]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-7,58,-0.19589648,0.09422963,4,-0.22886858892395276,-0.010936348578798346,"[0.024583253674388524, 1.1344718872013484e-14, 0.0021220690698509487, 5.507174055173364e-15, 0.9732946772557436]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-7,59,0.09615892,0.18102637,0,0.020754855109218255,-0.0015496373271435444,"[0.9934311829161755, 8.837375605221313e-08, 0.006564071059118401, 1.552969711243715e-12, 4.657649397051698e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-7,60,-0.013711061,-0.07216554,0,0.020754855109218255,-0.0015496373271435444,"[0.9969822511253515, 2.6212890741076878e-05, 5.7923203512679855e-11, 0.002014206971415415, 0.0009773289545685667]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-7,61,0.49365819,-0.019841706,1,0.4088955226662046,-0.08058117742215871,"[5.250084227487209e-05, 0.9998661322260973, 5.809797988734754e-19, 8.136693162782753e-05, 1.9980659961968117e-33]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-7,62,-0.096782275,0.2680031,2,-0.09021008434208137,0.33599657753345624,"[0.003042992851285036, 4.403569307080507e-17, 0.9679673028219988, 1.0758991744217079e-24, 0.028989704326716124]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-7,63,-0.07022652,-0.30347943,3,-0.10069489455834035,-0.2953687230393288,"[0.02728617924639632, 0.000365385728538521, 6.678012198073143e-24, 0.9722901369234778, 5.8298101587256006e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-7,64,-0.08510746,-0.26066056,3,-0.10069489455834035,-0.2953687230393288,"[0.0858453256059773, 0.00012183498118253325, 1.1610293442941826e-20, 0.9134270349095734, 0.0006058045032667539]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-7,65,-0.00251228,0.3769304,2,-0.09021008434208137,0.33599657753345624,"[0.0003346928722932887, 3.249382547263558e-18, 0.9996089352250203, 2.8574417554929637e-31, 5.637190268642322e-05]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-7,66,0.42614552,0.08994585,1,0.4088955226662046,-0.08058117742215871,"[0.029986353769380525, 0.9699826637301838, 4.521526054519802e-11, 3.0982455220359904e-05, 1.7671708814479648e-25]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-7,67,0.25132486,-0.20319358,1,0.4088955226662046,-0.08058117742215871,"[0.002133996167854208, 0.9461226310756428, 9.84972277823026e-24, 0.051743372756503085, 1.7312524378663436e-17]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-7,68,-0.18157998,0.03947093,4,-0.22886858892395276,-0.010936348578798346,"[0.07539204831045795, 1.3458580393210124e-12, 4.546802931447249e-05, 2.396272838603334e-11, 0.924562483634919]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-7,69,-0.12251995,-0.049827244,0,0.020754855109218255,-0.0015496373271435444,"[0.6945760788045606, 2.4073207857224014e-08, 1.414339675210157e-08, 1.3237475321484992e-05, 0.30541064550351316]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-7,70,-0.18423451,0.25213403,2,-0.09021008434208137,0.33599657753345624,"[0.0004437237703006967, 6.841338713656285e-20, 0.8802834294859184, 1.3315196095252094e-26, 0.11927284674378075]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-7,71,-0.04843812,0.4040603,2,-0.09021008434208137,0.33599657753345624,"[3.66273226903472e-05, 4.104916618393204e-21, 0.9997800011258349, 9.465685639563338e-36, 0.00018337155147463483]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-7,72,0.25011468,-0.18353273,1,0.4088955226662046,-0.08058117742215871,"[0.004026039473673414, 0.9274211069817324, 2.2663017274643604e-22, 0.06855285354459413, 4.502211807561237e-17]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-7,73,0.24778247,-0.18444899,1,0.4088955226662046,-0.08058117742215871,"[0.004273938773292509, 0.9226065262688046, 2.2969325769223764e-22, 0.07311953495790292, 6.231925511606098e-17]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-7,74,-0.17648138,-0.41862112,3,-0.10069489455834035,-0.2953687230393288,"[0.008879795538016733, 5.0428256600850186e-05, 5.224458847029837e-30, 0.9906228986980147, 0.00044687750736789865]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-7,75,-0.16704087,-0.3598848,3,-0.10069489455834035,-0.2953687230393288,"[0.01432936079691673, 1.616843542722184e-05, 3.988628486914095e-26, 0.9846736553647387, 0.0009808154029173658]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-7,76,0.61073065,0.018717432,1,0.4088955226662046,-0.08058117742215871,"[2.2725074304616024e-06, 0.9999936649223649, 9.179511328684826e-20, 4.062570204590003e-06, 8.419094619033238e-44]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-7,77,-0.07488669,0.3827278,2,-0.09021008434208137,0.33599657753345624,"[3.651111660574411e-05, 2.7157916481889132e-21, 0.9993559506586264, 9.034300714983681e-35, 0.0006075382247679087]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-7,78,0.022653038,0.24370801,2,-0.09021008434208137,0.33599657753345624,"[0.2764236565679716, 1.786236302852386e-11, 0.7224187811623931, 2.8007577002042092e-18, 0.0011575622517727981]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-7,79,0.24368975,0.18879418,0,0.020754855109218255,-0.0015496373271435444,"[0.9996361583241589, 0.00013069158859965158, 0.00023314978255053665, 3.034878713840714e-10, 1.203370993855538e-12]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-7,80,-0.16938657,-0.05973538,4,-0.22886858892395276,-0.010936348578798346,"[0.30354218804346067, 1.3070915122743292e-09, 1.128386165847245e-08, 3.4684712420097256e-06, 0.6964543308943439]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-7,81,-0.25151917,-0.28693447,3,-0.10069489455834035,-0.2953687230393288,"[0.13955147846519841, 1.545450361695129e-07, 2.618106811380516e-19, 0.7078995154091766, 0.15254885158058876]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-7,82,0.04577409,-0.24324691,3,-0.10069489455834035,-0.2953687230393288,"[0.05198999622846012, 0.01558825655371448, 7.998750926190491e-22, 0.9324216223689765, 1.248488487940447e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-7,83,-0.22563006,-0.049784996,4,-0.22886858892395276,-0.010936348578798346,"[0.0759533294239674, 8.929046585547816e-12, 5.45179719364053e-08, 6.030647258613764e-08, 0.9240465557426591]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-7,84,-0.20074943,0.040258985,4,-0.22886858892395276,-0.010936348578798346,"[0.04402213774961814, 2.487638825446285e-13, 5.4346834108822117e-05, 5.994581604745813e-12, 0.9559235154100297]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-7,85,-0.1496939,0.30529067,2,-0.09021008434208137,0.33599657753345624,"[9.84093440617861e-05, 6.118132658056986e-21, 0.9827323309377286, 2.620597384817333e-30, 0.017169259718209727]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-7,86,0.2630342,0.051892787,0,0.020754855109218255,-0.0015496373271435444,"[0.9077932182825538, 0.09199219292824963, 2.7391699998354628e-09, 0.00021458605000416412, 2.264735042088284e-14]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-7,87,0.61719507,-0.024593957,1,0.4088955226662046,-0.08058117742215871,"[5.368926154044938e-07, 0.9999954690875364, 2.402099744886435e-22, 3.994019848254606e-06, 3.9949704283223843e-45]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-7,88,-0.14552048,-0.15470643,0,0.020754855109218255,-0.0015496373271435444,"[0.7456113715524257, 7.821979123635256e-07, 4.150763391438343e-13, 0.02122642825720057, 0.23316141799204626]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-7,89,0.004352061,-0.07103703,0,0.020754855109218255,-0.0015496373271435444,"[0.996786717462038, 6.16304506544132e-05, 3.6618905910057686e-11, 0.0028538458162394877, 0.00029780623444915265]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-7,90,-0.31772932,0.41427824,2,-0.09021008434208137,0.33599657753345624,"[8.814216821405226e-09, 6.93551873387925e-33, 0.9996145927989666, 8.242296127334942e-49, 0.0003853983868165744]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-7,91,-0.118134014,0.26676714,2,-0.09021008434208137,0.33599657753345624,"[0.0016877228946485735, 7.033466897358372e-18, 0.9546602185570667, 2.128020567999476e-25, 0.04365205854828471]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-7,92,-0.19037005,0.30377576,2,-0.09021008434208137,0.33599657753345624,"[3.0203331027670975e-05, 1.5062565862565438e-22, 0.9784808203954698, 8.119899434553541e-32, 0.021488976273502502]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-7,93,-0.18803668,0.09546091,4,-0.22886858892395276,-0.010936348578798346,"[0.030275241502355672, 2.088576633633152e-14, 0.002214021986441922, 8.213251647483099e-15, 0.9675107365111733]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-7,94,0.32727078,-0.11709024,1,0.4088955226662046,-0.08058117742215871,"[0.001587590572083674, 0.9889179732810276, 2.911230211610783e-20, 0.009494436146888746, 2.0100461833061426e-21]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-7,95,0.3095995,0.5030761,2,-0.09021008434208137,0.33599657753345624,"[0.012987074835311559, 1.0992458451896377e-11, 0.9870129251536957, 9.710789794380834e-31, 2.1728327844428293e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-7,96,-0.26364937,-0.38828564,3,-0.10069489455834035,-0.2953687230393288,"[0.011512032363417456, 3.621876495317684e-07, 2.0359420535975015e-26, 0.9836491173891928, 0.004838488059740257]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-7,97,-0.25224024,-0.31188005,3,-0.10069489455834035,-0.2953687230393288,"[0.06811667144487554, 1.982014286285739e-07, 4.426732384569009e-21, 0.8750955472597124, 0.05678758309398332]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-7,98,-0.30068702,-0.14781809,4,-0.22886858892395276,-0.010936348578798346,"[0.09299274122123619, 1.6923884395575283e-11, 3.228837110492224e-11, 4.574039063027649e-05, 0.9069615183389214]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-7,99,-0.09486352,0.005280091,0,0.020754855109218255,-0.0015496373271435444,"[0.8017898336459279, 9.704945783404093e-09, 1.299624748544054e-06, 2.230899863470268e-07, 0.1982086339343916]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-8,0,0.08799766,-0.06060414,0,-0.02195575511983637,-0.031135983750233142,"[0.9946739309332029, 0.002498788106197853, 2.0073049584638653e-11, 0.0028272809117215044, 2.880485194001497e-11]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-8,1,-0.08406016,0.2851326,2,-0.09324358495511963,0.33259159061585636,"[0.0014845070789734124, 3.454372596754743e-17, 0.9974399746844395, 5.734912784690972e-34, 0.0010755182365872898]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-8,2,-0.16364236,-0.11411294,0,-0.02195575511983637,-0.031135983750233142,"[0.9679436136100342, 3.3903240674027056e-08, 1.5794600102722225e-10, 2.3041534755596553e-05, 0.032033310794023384]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-8,3,0.07371062,-0.27021888,3,-0.08644916747432467,-0.2978507761281914,"[0.02149779033249842, 0.05162460554588139, 2.3482299077694827e-23, 0.9268776041216202, 2.1945568605240433e-18]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-8,4,-0.1284643,0.3103237,2,-0.09324358495511963,0.33259159061585636,"[0.00011527021944619953, 4.5053753170392113e-20, 0.9994944099414084, 1.8026494950701755e-39, 0.0003903198391453798]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-8,5,-0.23808402,0.26056772,2,-0.09324358495511963,0.33259159061585636,"[4.9915405032501285e-05, 2.7094804478303994e-22, 0.9978160224118718, 2.3564451926929434e-39, 0.0021340621830956592]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-8,6,-0.10493148,-0.30384988,3,-0.08644916747432467,-0.2978507761281914,"[0.06106441517117914, 7.154432462284222e-05, 1.9323848093882881e-22, 0.9388640400299263, 4.742716169948209e-10]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-8,7,-0.295713,-0.42771262,3,-0.08644916747432467,-0.2978507761281914,"[0.04357946675326429, 1.27708110374985e-07, 1.6720340959771493e-27, 0.9564204004604802, 5.078145332452579e-09]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-8,8,-0.3188932,-0.023905918,4,-0.2368787008815704,0.01455678551054199,"[0.034082626546124546, 2.01673885241213e-15, 7.065739607045058e-06, 2.7642794307848445e-15, 0.9659103077142636]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-8,9,0.52375084,0.03593809,1,0.4104136906198055,-0.07932372239453842,"[9.377673880405749e-05, 0.9998261882700922, 1.5697623371099882e-16, 8.003499110338568e-05, 3.9530009386701806e-50]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-8,10,-0.24769914,0.06194072,4,-0.2368787008815704,0.01455678551054199,"[0.014463075652913512, 1.218614235603904e-15, 0.0005522075793961288, 1.3885325936568214e-19, 0.9849847167676892]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-8,11,0.45866024,0.07679337,1,0.4104136906198055,-0.07932372239453842,"[0.0050209188353295495, 0.994930764868273, 1.3247640743839072e-12, 4.83162950725518e-05, 5.557094830262696e-40]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-8,12,-0.21952832,-0.2596673,0,-0.02195575511983637,-0.031135983750233142,"[0.7715166160746175, 3.80921088274662e-07, 3.098802586274512e-17, 0.2281980978322188, 0.0002849051720753485]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-8,13,0.5387558,-0.021885695,1,0.4104136906198055,-0.07932372239453842,"[7.578442452052492e-06, 0.9998828167023132, 4.316498539920331e-20, 0.00010960485523481977, 5.0999705358019445e-55]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-8,14,-0.31746334,-0.03755091,4,-0.2368787008815704,0.01455678551054199,"[0.04348090430503835, 5.332987740874258e-15, 2.366520728333395e-06, 2.9470203372050034e-14, 0.9565167291741984]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-8,15,0.21572201,0.15297481,0,-0.02195575511983637,-0.031135983750233142,"[0.9997661899007544, 0.0001874782715618713, 4.6331772650903504e-05, 5.502797121025656e-11, 4.815910849434216e-15]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-8,16,-0.17784788,-0.16018736,0,-0.02195575511983637,-0.031135983750233142,"[0.990306731867615, 1.0300936952694347e-07, 1.5991716054753668e-12, 0.0009324119025845569, 0.008760753218831564]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-8,17,0.12485067,-0.17534988,3,-0.08644916747432467,-0.2978507761281914,"[0.10809408418528908, 0.11191233593229152, 3.0486357669798254e-18, 0.7799935798824195, 9.775079978921403e-18]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-8,18,-0.045080878,-0.32160506,3,-0.08644916747432467,-0.2978507761281914,"[0.026333697388211133, 0.0011582474226448265, 1.1577639682662404e-24, 0.9725080551890074, 1.3665055893653316e-13]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-8,19,-0.29219365,-0.1354431,4,-0.2368787008815704,0.01455678551054199,"[0.4457960333156776, 2.0893430075639716e-11, 4.651429881789482e-10, 3.271399681513833e-07, 0.5542036390583178]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-8,20,0.22983314,0.005944166,0,-0.02195575511983637,-0.031135983750233142,"[0.8595678655042859, 0.13913931891870976, 1.8736985946184376e-10, 0.0012928153896345, 4.397130177579384e-19]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-8,21,-0.2313607,0.15489271,4,-0.2368787008815704,0.01455678551054199,"[0.008350891973196536, 1.889372668764185e-17, 0.20732312130656108, 8.730590193938481e-27, 0.7843259867202425]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-8,22,0.44196302,-0.22339565,1,0.4104136906198055,-0.07932372239453842,"[4.923253686483626e-07, 0.9999826233766309, 7.310675722134497e-30, 1.6884298000300146e-05, 2.2858469043733786e-53]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-8,23,0.31953293,-0.23248373,1,0.4104136906198055,-0.07932372239453842,"[3.6357451828220655e-05, 0.9977273719293943, 4.4506537167704265e-27, 0.0022362706187776305, 3.8971535214481715e-39]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-8,24,0.0025802255,-0.08199731,0,-0.02195575511983637,-0.031135983750233142,"[0.999091219101959, 7.746791983369932e-05, 2.8350642570529523e-11, 0.0008310740826521581, 2.388672043129834e-07]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-8,25,0.023439856,-0.079839304,0,-0.02195575511983637,-0.031135983750233142,"[0.9983246066762834, 0.00020801297322322972, 1.90059133026636e-11, 0.0014673529836374765, 2.7347849975366412e-08]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-8,26,-0.06371302,0.3954228,2,-0.09324358495511963,0.33259159061585636,"[2.2967210463599092e-05, 4.523071145209818e-21, 0.9999756099358705, 1.54081385396213e-46, 1.4228536659521378e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-8,27,-0.2963673,0.015343715,4,-0.2368787008815704,0.01455678551054199,"[0.018239233835350352, 6.922499125642755e-16, 6.39598783070342e-05, 1.388634600801196e-17, 0.9816968062863419]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-8,28,0.08612508,0.3898904,2,-0.09324358495511963,0.33259159061585636,"[0.0019255007014823318, 3.7327512091109935e-15, 0.9980744962042222, 2.190603078380339e-37, 3.0942918424556515e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-8,29,-0.20296153,0.2345368,2,-0.09324358495511963,0.33259159061585636,"[0.0006182402998610363, 1.3140038679339495e-19, 0.9714049964266224, 3.448694466766538e-34, 0.027976763273516565]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-8,30,-0.3021013,-0.23802479,0,-0.02195575511983637,-0.031135983750233142,"[0.9747968322243532, 1.79269379849032e-09, 9.087574595374669e-15, 0.006266710514738507, 0.018936455468205396]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-8,31,0.40233114,0.06031101,1,0.4104136906198055,-0.07932372239453842,"[0.025992692937149772, 0.9738560474207141, 7.1352907913133075e-12, 0.00015125963500086756, 4.872513685244767e-34]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-8,32,-0.31179968,-0.050893012,4,-0.2368787008815704,0.01455678551054199,"[0.05675871623449924, 1.841535779530266e-14, 7.075474554889e-07, 3.6977980180345215e-13, 0.9432405762176571]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-8,33,0.11298243,0.035079706,0,-0.02195575511983637,-0.031135983750233142,"[0.9998185490258533, 0.0001806630818659174, 7.498996122282344e-08, 7.127799046756611e-07, 1.224148946497832e-10]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-8,34,-0.23456638,0.06657637,4,-0.2368787008815704,0.01455678551054199,"[0.016726954923635826, 2.5410524661445627e-15, 0.0006129216999642095, 1.85356366622086e-19, 0.9826601233763976]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-8,35,0.11017645,-0.16371755,3,-0.08644916747432467,-0.2978507761281914,"[0.20803362383510524, 0.07200486836965547, 3.439260531590134e-17, 0.7199615077952389, 3.973207109867424e-16]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-8,36,0.1429859,0.059452157,0,-0.02195575511983637,-0.031135983750233142,"[0.9997090261514194, 0.00029053612985763174, 2.55962435298764e-07, 1.8175038462997296e-07, 5.902898077599767e-12]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-8,37,-0.040502112,0.02318828,0,-0.02195575511983637,-0.031135983750233142,"[0.9987715791781407, 9.415870717808023e-08, 2.331155316095946e-06, 1.377864655314488e-09, 0.0012259941299711855]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-8,38,-0.06471333,0.08954511,0,-0.02195575511983637,-0.031135983750233142,"[0.9512376286593567, 1.153806642272568e-09, 0.001145042114863998, 2.4985547436842104e-14, 0.04761732807194782]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-8,39,0.06407858,0.09707585,0,-0.02195575511983637,-0.031135983750233142,"[0.9999488748521798, 9.992657485661032e-07, 4.963283320477115e-05, 2.2575453988078864e-11, 4.930262913888302e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-8,40,-0.021407472,0.09407413,0,-0.02195575511983637,-0.031135983750233142,"[0.9975781946006068, 1.1161980917238715e-08, 0.00047149325409943384, 2.041074899847363e-13, 0.0019503009831087]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-8,41,-0.056248758,0.025906589,0,-0.02195575511983637,-0.031135983750233142,"[0.995218633060486, 3.4888779267799467e-08, 4.731150758570363e-06, 4.0856706753447465e-10, 0.00477660049140928]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-8,42,-0.15132618,0.02146309,4,-0.2368787008815704,0.01455678551054199,"[0.369581171289081, 7.035415016109615e-11, 2.1862505664175278e-05, 1.1759115551055333e-12, 0.6303969661337248]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-8,43,-0.18518934,0.0027779788,4,-0.2368787008815704,0.01455678551054199,"[0.1776548826191592, 1.0835954190903885e-11, 5.749165627126281e-06, 1.0805929694972479e-12, 0.8223393682032971]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-8,44,0.5118622,-0.024860546,1,0.4104136906198055,-0.07932372239453842,"[1.8099386436474922e-05, 0.9997819386512594, 1.4894394787640302e-19, 0.0001999619623042648, 1.3710498425704285e-51]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-8,45,-0.0018669573,0.3644946,2,-0.09324358495511963,0.33259159061585636,"[0.00043651057212665625, 1.9999686394821466e-17, 0.9995622510098183, 3.959221811678391e-39, 1.2384180548812117e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-8,46,-0.24925767,0.015651966,4,-0.2368787008815704,0.01455678551054199,"[0.027456393486869603, 1.9272159430525985e-14, 2.1534921403418083e-05, 4.550795354290074e-16, 0.9725220715917073]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-8,47,0.2804453,-0.1894261,1,0.4104136906198055,-0.07932372239453842,"[0.0006407956648396355, 0.963724459580312, 4.3282896380152635e-23, 0.03563474475484825, 1.5347016920204018e-32]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-8,48,0.37225774,-0.11562894,1,0.4104136906198055,-0.07932372239453842,"[0.0001784116556939665, 0.9943807772712923, 4.561404507017659e-21, 0.005440811073013802, 6.152578697507758e-39]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-8,49,0.1460578,0.21914145,0,-0.02195575511983637,-0.031135983750233142,"[0.9767536646626217, 2.6746579178205676e-07, 0.023246067250988, 2.372208910671829e-17, 6.205983946859759e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-8,50,0.07159563,-0.024327766,0,-0.02195575511983637,-0.031135983750233142,"[0.9996810773434978, 0.00025993941888263023, 1.114462658302671e-09, 5.89805648644852e-05, 1.5582923313186345e-09]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-8,51,-0.078428976,-0.18954016,0,-0.02195575511983637,-0.031135983750233142,"[0.8445557405262726, 6.238167360083396e-05, 2.0090702413020237e-15, 0.15538056092374106, 1.3168763836669127e-06]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-8,52,-0.23586994,0.37846398,2,-0.09324358495511963,0.33259159061585636,"[2.475896136299225e-07, 1.9721850588351992e-27, 0.999999091761185, 8.623558712895321e-55, 6.606492015057175e-07]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-8,53,-0.15925287,-0.015642455,0,-0.02195575511983637,-0.031135983750233142,"[0.5221363542038416, 3.352595401932235e-10, 1.3838540767937148e-06, 1.7631110156149976e-10, 0.477862261430511]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-8,54,0.38273144,-0.19184409,1,0.4104136906198055,-0.07932372239453842,"[1.0837550945288204e-05, 0.9992324968355332, 3.519029281807344e-26, 0.0007566656135213946, 3.097594909323639e-44]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-8,55,-0.029614072,-0.05991212,0,-0.02195575511983637,-0.031135983750233142,"[0.9999464277726597, 5.838217002092939e-06, 6.965866284992728e-10, 3.0306474396585567e-05, 1.7426839355087373e-05]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-8,56,-0.041920777,-0.1336057,0,-0.02195575511983637,-0.031135983750233142,"[0.9882390115812338, 5.7834071706179015e-05, 4.4392262110790604e-13, 0.011701812713284201, 1.3416333317329218e-06]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-8,57,-0.05421332,-0.22073112,3,-0.08644916747432467,-0.2978507761281914,"[0.3623310450887381, 0.0003005528333259033, 9.679439490492498e-18, 0.637368393870406, 8.207529975882168e-09]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-8,58,-0.19589648,0.09422963,4,-0.2368787008815704,0.01455678551054199,"[0.02863210716901451, 1.2199965133882648e-14, 0.0027719135000416973, 4.2908040402736704e-20, 0.9685959793309317]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-8,59,0.09615892,0.18102637,0,-0.02195575511983637,-0.031135983750233142,"[0.9916435819995896, 1.1731036141426659e-07, 0.00835617911874844, 4.663679089039025e-16, 1.2157130004533413e-07]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-8,60,-0.013711061,-0.07216554,0,-0.02195575511983637,-0.031135983750233142,"[0.999789667198701, 2.2315762283789685e-05, 1.2605260018912846e-10, 0.0001859243454180384, 2.09256754438326e-06]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-8,61,0.49365819,-0.019841706,1,0.4104136906198055,-0.07932372239453842,"[4.18507107204917e-05, 0.9996693362390563, 8.721014317696567e-19, 0.0002888130502231971, 5.795768605383356e-49]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-8,62,-0.096782275,0.2680031,2,-0.09324358495511963,0.33259159061585636,"[0.0024770440563645314, 6.581247753314608e-17, 0.9938955880154585, 1.365482563604497e-32, 0.0036273679281767]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-8,63,-0.07022652,-0.30347943,3,-0.08644916747432467,-0.2978507761281914,"[0.04248463785152798, 0.0002892008189331467, 4.732742589543452e-23, 0.957226161316717, 1.2821883312794659e-11]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-8,64,-0.08510746,-0.26066056,3,-0.08644916747432467,-0.2978507761281914,"[0.1588855970763675, 0.00011336015272958396, 7.5875715743377e-20, 0.8410010382301568, 4.540745988388228e-09]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-8,65,-0.00251228,0.3769304,2,-0.09324358495511963,0.33259159061585636,"[0.00026332923884279745, 5.907024276253247e-18, 0.9997359986690131, 1.0829439423499605e-40, 6.720921440450576e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-8,66,0.42614552,0.08994585,1,0.4104136906198055,-0.07932372239453842,"[0.030043471993595926, 0.9699239074235195, 5.157198171773173e-11, 3.2620531312411855e-05, 1.608350093730815e-35]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-8,67,0.25132486,-0.20319358,1,0.4104136906198055,-0.07932372239453842,"[0.0013262705063705697, 0.9249482352548548, 3.843997087711849e-23, 0.07372549423877463, 3.218680202747561e-30]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-8,68,-0.18157998,0.03947093,4,-0.2368787008815704,0.01455678551054199,"[0.0984830372300952, 1.3640074445082836e-12, 7.108827701989923e-05, 3.255349236205392e-15, 0.9014458744915175]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-8,69,-0.12251995,-0.049827244,0,-0.02195575511983637,-0.031135983750233142,"[0.9631447961431152, 2.2655494561354213e-08, 3.1126561238131005e-08, 1.5078388802045243e-07, 0.03685499929094084]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-8,70,-0.18423451,0.25213403,2,-0.09324358495511963,0.33259159061585636,"[0.0004146426735080423, 1.1287186645372324e-19, 0.9879401379741015, 2.479037342869106e-35, 0.011645219352390317]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-8,71,-0.04843812,0.4040603,2,-0.09324358495511963,0.33259159061585636,"[2.641304142254513e-05, 8.207720938673537e-21, 0.9999729341844068, 9.505751682917922e-47, 6.527741707173543e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-8,72,0.25011468,-0.18353273,1,0.4104136906198055,-0.07932372239453842,"[0.002539658948026841, 0.8914190639297652, 7.938887415479339e-22, 0.10604127712220776, 4.2935887744702955e-29]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-8,73,0.24778247,-0.18444899,1,0.4104136906198055,-0.07932372239453842,"[0.002699979760863304, 0.884830877011464, 8.0807477247174085e-22, 0.11246914322767275, 6.63530156654437e-29]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-8,74,-0.17648138,-0.41862112,3,-0.08644916747432467,-0.2978507761281914,"[0.029829969018756248, 3.9822530022490143e-05, 8.32345605523336e-29, 0.9701302084419163, 9.304896051627772e-12]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-8,75,-0.16704087,-0.3598848,3,-0.08644916747432467,-0.2978507761281914,"[0.03845323516667408, 1.2065569535981314e-05, 4.0351127829830564e-25, 0.9615346985920907, 6.716991116553589e-10]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-8,76,0.61073065,0.018717432,1,0.4104136906198055,-0.07932372239453842,"[2.368760185924082e-06, 0.9999753801181451, 1.0811893040259859e-19, 2.2251121668798396e-05, 6.432382367391445e-63]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-8,77,-0.07488669,0.3827278,2,-0.09324358495511963,0.33259159061585636,"[2.6340007125941674e-05, 5.292631207003739e-21, 0.999970176508858, 1.4497162697000023e-45, 3.48348401599839e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-8,78,0.022653038,0.24370801,2,-0.09324358495511963,0.33259159061585636,"[0.23702037159179848, 2.408987549697249e-11, 0.7628559871812965, 5.883445991806192e-24, 0.00012364120281511148]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-8,79,0.24368975,0.18879418,0,-0.02195575511983637,-0.031135983750233142,"[0.9995990730033192, 0.00015020146637186537, 0.0002507255286114583, 1.6971923859736778e-12, 1.9014389406943755e-16]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-8,80,-0.16938657,-0.05973538,0,-0.02195575511983637,-0.031135983750233142,"[0.7328113748811499, 1.8274542499068035e-09, 3.86936325954073e-08, 3.641884597744028e-08, 0.26718854817891724]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-8,81,-0.25151917,-0.28693447,0,-0.02195575511983637,-0.031135983750233142,"[0.6272661824581244, 1.4326822299888565e-07, 2.148945128514825e-18, 0.37254489116195794, 0.00018878311169459385]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-8,82,0.04577409,-0.24324691,3,-0.08644916747432467,-0.2978507761281914,"[0.04663857452139254, 0.012176287055043387, 3.657840835361348e-21, 0.941185138423562, 1.985523920949102e-15]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-8,83,-0.22563006,-0.049784996,4,-0.2368787008815704,0.01455678551054199,"[0.18262492107470304, 1.0831903719808051e-11, 1.536304887998073e-07, 1.3991469576648454e-10, 0.8173749251440617]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-8,84,-0.20074943,0.040258985,4,-0.2368787008815704,0.01455678551054199,"[0.05358821018451969, 2.263190500167002e-13, 7.558987843824078e-05, 4.508683300409223e-16, 0.9463361999368154]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-8,85,-0.1496939,0.30529067,2,-0.09324358495511963,0.33259159061585636,"[7.737728153622927e-05, 1.0503987562218266e-20, 0.9994011922186204, 4.970028933330221e-40, 0.0005214304998432767]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-8,86,0.2630342,0.051892787,0,-0.02195575511983637,-0.031135983750233142,"[0.8919478459460398, 0.10798190617142543, 4.524124074713591e-09, 7.024335841082786e-05, 1.6773126005942373e-20]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-8,87,0.61719507,-0.024593957,1,0.4104136906198055,-0.07932372239453842,"[4.687584903320655e-07, 0.9999825525866455, 3.1813510056352966e-22, 1.6978654864399804e-05, 3.923740275551975e-66]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-8,88,-0.14552048,-0.15470643,0,-0.02195575511983637,-0.031135983750233142,"[0.9963817203884893, 5.055278620306422e-07, 1.0687108938386563e-12, 0.0018927122596040832, 0.001725061822975901]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-8,89,0.004352061,-0.07103703,0,-0.02195575511983637,-0.031135983750233142,"[0.9996087799753215, 5.475587219054737e-05, 8.232102453729227e-11, 0.0003361185046840015, 3.455654832650005e-07]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-8,90,-0.31772932,0.41427824,2,-0.09324358495511963,0.33259159061585636,"[5.574339842489559e-09, 1.9044936063886839e-32, 0.9999999938150346, 3.342157127521885e-65, 6.106255574276725e-10]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-8,91,-0.118134014,0.26676714,2,-0.09324358495511963,0.33259159061585636,"[0.0013980856454411557, 1.0760774878012573e-17, 0.9934889388288133, 1.4368447918859083e-33, 0.005112975525745551]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-8,92,-0.19037005,0.30377576,2,-0.09324358495511963,0.33259159061585636,"[2.4189813983959278e-05, 2.6752241652410003e-22, 0.9996097038206568, 3.787687722900232e-42, 0.00036610636535914094]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-8,93,-0.18803668,0.09546091,4,-0.2368787008815704,0.01455678551054199,"[0.03518169068092903, 2.2794572764888268e-14, 0.0029296089689564717, 7.524643088162745e-20, 0.9618887003500916]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-8,94,0.32727078,-0.11709024,1,0.4104136906198055,-0.07932372239453842,"[0.0010189318866855729, 0.9795822129632069, 7.297047130550202e-20, 0.01939885515010758, 6.51160702524947e-34]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-8,95,0.3095995,0.5030761,2,-0.09324358495511963,0.33259159061585636,"[0.0239047539777842, 2.009008405967757e-11, 0.9760952460021258, 1.204789420886478e-38, 8.156468197401862e-21]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-8,96,-0.26364937,-0.38828564,3,-0.08644916747432467,-0.2978507761281914,"[0.05671624116681197, 2.553680309768979e-07, 2.486968652423308e-25, 0.9432834694643724, 3.400078463498309e-08]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-8,97,-0.25224024,-0.31188005,3,-0.08644916747432467,-0.2978507761281914,"[0.34480560689301765, 1.9139565767499876e-07, 4.4364356060158135e-20, 0.6551711632420492, 2.3038469275509526e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-8,98,-0.30068702,-0.14781809,0,-0.02195575511983637,-0.031135983750233142,"[0.5274644327511218, 2.5180994840771254e-11, 1.864254245028009e-10, 9.936006910277234e-07, 0.47253457343658073]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-8,99,-0.09486352,0.005280091,0,-0.02195575511983637,-0.031135983750233142,"[0.9599613337134562, 9.683462163744955e-09, 2.357612578523967e-06, 7.141068443215288e-10, 0.04003629827639635]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-9,0,0.08799766,-0.06060414,0,0.01548792774659148,0.012711213017882826,"[0.7685246028819412, 0.002773843086858216, 2.5560447891208143e-11, 0.22870155033510375, 3.67053635356193e-09]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-9,1,-0.08406016,0.2851326,2,-0.09296698319274968,0.3323424730002509,"[0.0016893419783019167, 1.609888543490158e-17, 0.9972080183765663, 2.581935105197801e-09, 0.0011026370631965602]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-9,2,-0.16364236,-0.11411294,0,0.01548792774659148,0.012711213017882826,"[0.6830722955222855, 6.977634172406509e-08, 2.7701609033065945e-10, 0.20262492990740097, 0.11430270451695554]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-9,3,0.07371062,-0.27021888,3,-0.10484219422466146,-0.2563392055715372,"[0.009197716866494676, 0.1086627720102639, 6.38953170623949e-23, 0.8821395111232302, 1.126068156911592e-14]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-9,4,-0.1284643,0.3103237,2,-0.09296698319274968,0.3323424730002509,"[0.00014584853605000358, 1.8835350098299333e-20, 0.9994409210108703, 6.501770785671997e-11, 0.00041323038806188444]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-9,5,-0.23808402,0.26056772,2,-0.09296698319274968,0.3323424730002509,"[9.777229669174338e-05, 1.3744581698064675e-22, 0.9969023292939749, 9.680653001714488e-11, 0.0029998983125264587]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-9,6,-0.10493148,-0.30384988,3,-0.10484219422466146,-0.2563392055715372,"[0.01133023503239253, 0.0001745763084536197, 4.628974294180653e-22, 0.9884951533200277, 3.5339126218260786e-08]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-9,7,-0.295713,-0.42771262,3,-0.10484219422466146,-0.2563392055715372,"[0.0017877029972397822, 5.412079860668639e-07, 5.258374163908633e-27, 0.9982116834337783, 7.236099590144362e-08]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-9,8,-0.3188932,-0.023905918,4,-0.23335679127599973,0.009123651433526166,"[0.03868624935338361, 3.0912485218132265e-15, 8.526655776063863e-06, 0.0002124601334313763, 0.9610927638574059]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-9,9,0.52375084,0.03593809,1,0.4064221645962014,-0.08262749250786275,"[0.0002884704989629287, 0.9996910739371503, 2.077832934029354e-16, 2.0455563886431316e-05, 5.620187697586049e-42]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-9,10,-0.24769914,0.06194072,4,-0.23335679127599973,0.009123651433526166,"[0.022149893606925968, 1.4418310298516413e-15, 0.0006693155291679343, 1.528700892275514e-05, 0.9771655038549819]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-9,11,0.45866024,0.07679337,1,0.4064221645962014,-0.08262749250786275,"[0.01132128269740851, 0.9884670036962786, 1.735084219076961e-12, 0.0002117136045778282, 1.468631755478986e-33]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-9,12,-0.21952832,-0.2596673,3,-0.10484219422466146,-0.2563392055715372,"[0.07641126087094735, 4.4670405178203447e-07, 2.7582307764630956e-17, 0.9228388135671787, 0.0007494788578223317]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-9,13,0.5387558,-0.021885695,1,0.4064221645962014,-0.08262749250786275,"[2.7224819411343024e-05, 0.9999621854176024, 6.004318722140262e-20, 1.0589762986299932e-05, 7.836809332040458e-46]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-9,14,-0.31746334,-0.03755091,4,-0.23335679127599973,0.009123651433526166,"[0.045698103189948686, 8.537212682778814e-15, 2.9100758696923308e-06, 0.00038737367491945094, 0.9539116130592536]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-9,15,0.21572201,0.15297481,0,0.01548792774659148,0.012711213017882826,"[0.9990335338002494, 0.00013551523752516304, 4.833322519540387e-05, 0.0007826177363536584, 6.764132754729123e-13]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-9,16,-0.17784788,-0.16018736,3,-0.10484219422466146,-0.2563392055715372,"[0.47887705389744917, 2.156094287053135e-07, 2.7306106845871814e-12, 0.4859719245112256, 0.03515080597916606]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-9,17,0.12485067,-0.17534988,3,-0.10484219422466146,-0.2563392055715372,"[0.07894369424098548, 0.18330086416936875, 6.1889084327060795e-18, 0.7377554415896127, 3.315885218655842e-14]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-9,18,-0.045080878,-0.32160506,3,-0.10484219422466146,-0.2563392055715372,"[0.004989467702409546, 0.0026973299212832377, 3.046839836069501e-24, 0.9923132023192733, 5.7033939820115555e-11]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-9,19,-0.29219365,-0.1354431,4,-0.23335679127599973,0.009123651433526166,"[0.24303858171970166, 4.309560953981419e-11, 6.651059342275877e-10, 0.04863632729983974, 0.7083250902722571]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-9,20,0.22983314,0.005944166,0,0.01548792774659148,0.012711213017882826,"[0.8221829318741268, 0.11274830040292994, 1.9285514437574114e-10, 0.06506876753008724, 8.311811225039589e-16]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-9,21,-0.2313607,0.15489271,4,-0.23335679127599973,0.009123651433526166,"[0.01463995707545808, 1.4898130036729965e-17, 0.21980023124236842, 5.606562789170566e-07, 0.7655592510258946]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-9,22,0.44196302,-0.22339565,1,0.4064221645962014,-0.08262749250786275,"[9.291799780856391e-07, 0.9999187575334147, 1.3847529797950174e-29, 8.031328660722363e-05, 1.1308082107978557e-43]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-9,23,0.31953293,-0.23248373,1,0.4064221645962014,-0.08262749250786275,"[3.149563952322923e-05, 0.9972507759388907, 7.553595371937781e-27, 0.0027177284215860347, 5.926949764634013e-32]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-9,24,0.0025802255,-0.08199731,0,0.01548792774659148,0.012711213017882826,"[0.7417773843094306, 0.00010835654318768025, 4.180205313837079e-11, 0.2581073500647215, 6.909040858375878e-06]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-9,25,0.023439856,-0.079839304,0,0.01548792774659148,0.012711213017882826,"[0.7304842845532125, 0.00027292200025122264, 2.6858216949585267e-11, 0.2692416587222866, 1.1346973914260903e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-9,26,-0.06371302,0.3954228,2,-0.09296698319274968,0.3323424730002509,"[1.8561148976217024e-05, 1.3451902557322902e-21, 0.9999797449292077, 6.636184292417888e-13, 1.6939211523776476e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-9,27,-0.2963673,0.015343715,4,-0.23335679127599973,0.009123651433526166,"[0.024735479208196562, 9.451235193277653e-16, 7.663835214380708e-05, 4.8856789134927964e-05, 0.9751390256505238]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-9,28,0.08612508,0.3898904,2,-0.09296698319274968,0.3323424730002509,"[0.0010273611752612492, 1.2689113968386434e-15, 0.9989726319015455, 1.293285303947312e-10, 6.793863271540375e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-9,29,-0.20296153,0.2345368,2,-0.09296698319274968,0.3323424730002509,"[0.0010470394449411142, 7.34752924367323e-20, 0.9696647099958245, 3.4772971210377415e-09, 0.02928824708193734]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-9,30,-0.3021013,-0.23802479,3,-0.10484219422466146,-0.2563392055715372,"[0.2162610367825232, 4.337482165661715e-09, 1.415588578225009e-14, 0.7484022820486967, 0.03533667683128366]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-9,31,0.40233114,0.06031101,1,0.4064221645962014,-0.08262749250786275,"[0.04918241068807176, 0.9494858784239105, 9.210173835924328e-12, 0.0013317108788075513, 1.8008641025071596e-28]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-9,32,-0.31179968,-0.050893012,4,-0.23335679127599973,0.009123651433526166,"[0.05461523770950647, 3.052731466929266e-14, 8.859426464891591e-07, 0.0007332331132749953, 0.9446506432345416]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-9,33,0.11298243,0.035079706,0,0.01548792774659148,0.012711213017882826,"[0.9810130548065722, 0.00017190672117350643, 8.770556829133236e-08, 0.018814943326963745, 7.4397223638324186e-09]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-9,34,-0.23456638,0.06657637,4,-0.23335679127599973,0.009123651433526166,"[0.025276668184688073, 2.9402311027893836e-15, 0.0007425573646366754, 1.682688153822308e-05, 0.9739639475691341]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-9,35,0.11017645,-0.16371755,3,-0.10484219422466146,-0.2563392055715372,"[0.12347977846463416, 0.09500134671120236, 5.4743146026553624e-17, 0.7815188748236073, 5.561174926479965e-13]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-9,36,0.1429859,0.059452157,0,0.01548792774659148,0.012711213017882826,"[0.9893178915139306, 0.0002523327715712492, 2.8293438893869503e-07, 0.010429492278888055, 5.012212100149984e-10]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-9,37,-0.040502112,0.02318828,0,0.01548792774659148,0.012711213017882826,"[0.9834879418874743, 1.0497076304549382e-07, 2.8883749798559494e-06, 0.01105399323442284, 0.00545507153235991]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-9,38,-0.06471333,0.08954511,0,0.01548792774659148,0.012711213017882826,"[0.914187157701866, 9.166171923392541e-10, 0.0011154637693275575, 0.0010863586251687418, 0.08361101898702047]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-9,39,0.06407858,0.09707585,0,0.01548792774659148,0.012711213017882826,"[0.9978172759774212, 8.334530074175523e-07, 5.404422056447967e-05, 0.002122498507117056, 5.347841889610123e-06]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-9,40,-0.021407472,0.09407413,0,0.01548792774659148,0.012711213017882826,"[0.9923560590510705, 9.240691252888255e-09, 0.0004922195599987838, 0.001368754513820981, 0.005782957634418534]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-9,41,-0.056248758,0.025906589,0,0.01548792774659148,0.012711213017882826,"[0.9743578816229611, 3.824192889043193e-08, 5.7229521385568444e-06, 0.009068206637827134, 0.016568150545144378]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-9,42,-0.15132618,0.02146309,4,-0.23335679127599973,0.009123651433526166,"[0.3045237274934274, 6.503239536115048e-11, 2.058367592447516e-05, 0.0016472334152525894, 0.6938084553503631]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-9,43,-0.18518934,0.0027779788,4,-0.23335679127599973,0.009123651433526166,"[0.15250694298795273, 1.1554033894174765e-11, 5.86337924981432e-06, 0.0011347053479389938, 0.8463524882733044]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-9,44,0.5118622,-0.024860546,1,0.4064221645962014,-0.08262749250786275,"[5.72944485406043e-05, 0.9999191744879286, 2.0714838755093087e-19, 2.3531063530959433e-05, 5.916707596630658e-43]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-9,45,-0.0018669573,0.3644946,2,-0.09296698319274968,0.3323424730002509,"[0.0003235978064442102, 7.07049872029759e-18, 0.9996747945055582, 5.571490358486957e-11, 1.6076322827093902e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-9,46,-0.24925767,0.015651966,4,-0.23335679127599973,0.009123651433526166,"[0.03415544020105615, 2.567542907340099e-14, 2.6431313593980873e-05, 0.00010073969963576501, 0.9657173887856884]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-9,47,0.2804453,-0.1894261,1,0.4064221645962014,-0.08262749250786275,"[0.0005392116452009407, 0.9862046075001397, 6.655686881430643e-23, 0.01325618085465923, 1.3799336122625533e-26]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-9,48,0.37225774,-0.11562894,1,0.4064221645962014,-0.08262749250786275,"[0.00028099470942580886, 0.9985518365453064, 6.6946994604553165e-21, 0.0011671687452677565, 4.3959466318335016e-32]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-9,49,0.1460578,0.21914145,0,0.01548792774659148,0.012711213017882826,"[0.9730811200188529, 1.8594072350015658e-07, 0.026856181654115976, 6.250222102225103e-05, 1.016528539987957e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-9,50,0.07159563,-0.024327766,0,0.01548792774659148,0.012711213017882826,"[0.9145079305682091, 0.00030174708293558813, 1.485760043591548e-09, 0.08519023236884127, 8.849425408484767e-08]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-9,51,-0.078428976,-0.18954016,3,-0.10484219422466146,-0.2563392055715372,"[0.17836474201579594, 6.0178454932752025e-05, 1.8382024762295554e-15, 0.8215587086127881, 1.6370916481275708e-05]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-9,52,-0.23586994,0.37846398,2,-0.09296698319274968,0.3323424730002509,"[4.366542526476554e-07, 5.840744465157225e-28, 0.999997626400642, 6.6226596804207566e-15, 1.9369450987203477e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-9,53,-0.15925287,-0.015642455,4,-0.23335679127599973,0.009123651433526166,"[0.3860227659965151, 3.521050988999992e-10, 1.3839056800696819e-06, 0.006190192297475789, 0.6077856574482239]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-9,54,0.38273144,-0.19184409,1,0.4064221645962014,-0.08262749250786275,"[1.5305908262518835e-05, 0.999465215531481, 5.877667981913026e-26, 0.0005194785602562446, 2.9172174269060786e-36]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-9,55,-0.029614072,-0.05991212,0,0.01548792774659148,0.012711213017882826,"[0.8698997828480982, 8.862023080120171e-06, 1.0909985399728928e-09, 0.12985725569052045, 0.00023409834730289404]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-9,56,-0.041920777,-0.1336057,3,-0.10484219422466146,-0.2563392055715372,"[0.45713546570533314, 7.52497729693087e-05, 5.729059999341653e-13, 0.5427639487976376, 2.533572348712371e-05]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-9,57,-0.05421332,-0.22073112,3,-0.10484219422466146,-0.2563392055715372,"[0.07294053439242855, 0.000330462694914512, 1.06293527704237e-17, 0.9267287169693335, 2.859433234157895e-07]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-9,58,-0.19589648,0.09422963,4,-0.23335679127599973,0.009123651433526166,"[0.04208829934020528, 1.2336672867803196e-14, 0.003230837672151803, 1.590007561727122e-05, 0.9546649629120133]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-9,59,0.09615892,0.18102637,0,0.01548792774659148,0.012711213017882826,"[0.9908223432973449, 8.22634221190353e-08, 0.00900683093588909, 0.00016966156352046425, 1.0819398234636837e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-9,60,-0.013711061,-0.07216554,0,0.01548792774659148,0.012711213017882826,"[0.8086648536987777, 3.3035396456101195e-05, 1.9426782336848708e-10, 0.1912605521263199, 4.155858417836979e-05]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-9,61,0.49365819,-0.019841706,1,0.4064221645962014,-0.08262749250786275,"[0.00012121230200827764, 0.9998367627804079, 1.2035245013269162e-18, 4.2024917583983875e-05, 8.8971587469699e-41]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-9,62,-0.096782275,0.2680031,2,-0.09296698319274968,0.3323424730002509,"[0.0029796865481806338, 3.258667711912217e-17, 0.9934056716688264, 7.469785546672044e-09, 0.003614634313207323]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-9,63,-0.07022652,-0.30347943,3,-0.10484219422466146,-0.2563392055715372,"[0.009262384875145347, 0.000728222044736492, 1.2509756837184983e-22, 0.9900093908300519, 2.25006626785307e-09]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-9,64,-0.08510746,-0.26066056,3,-0.10484219422466146,-0.2563392055715372,"[0.031076166628072575, 0.00018491545872007087, 1.2082173857636838e-19, 0.9687387203433635, 1.975698436936138e-07]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-9,65,-0.00251228,0.3769304,2,-0.09296698319274968,0.3323424730002509,"[0.00018683495067363525, 1.9824669327651343e-18, 0.9998123004831259, 2.053690660348823e-11, 8.645456637440727e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-9,66,0.42614552,0.08994585,1,0.4064221645962014,-0.08262749250786275,"[0.0589031480630305, 0.9404101333692985, 6.63485914033566e-11, 0.000686718501322522, 8.05349184635988e-30]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-9,67,0.25132486,-0.20319358,1,0.4064221645962014,-0.08262749250786275,"[0.0009373465107627406, 0.9685615430455027, 5.988339403011175e-23, 0.030501110443734592, 1.2484327386262962e-24]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-9,68,-0.18157998,0.03947093,4,-0.23335679127599973,0.009123651433526166,"[0.10349994713513173, 1.403732343042905e-12, 7.520128518014819e-05, 0.00025180624295051743, 0.8961730453353338]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-9,69,-0.12251995,-0.049827244,0,0.01548792774659148,0.012711213017882826,"[0.83562908247387, 3.490904954504557e-08, 4.54022064414448e-08, 0.04957050800740897, 0.11480032920746483]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-9,70,-0.18423451,0.25213403,2,-0.09296698319274968,0.3323424730002509,"[0.0006625744176451669, 5.903024048251976e-20, 0.987257687500607, 1.4102362087993643e-09, 0.012079736671511519]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-9,71,-0.04843812,0.4040603,2,-0.09296698319274968,0.3323424730002509,"[1.9559345606248474e-05, 2.370234345719851e-21, 0.9999796541487879, 5.751977635710462e-13, 7.865050304538588e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-9,72,0.25011468,-0.18353273,1,0.4064221645962014,-0.08262749250786275,"[0.001986339450007859, 0.9601791593079791, 1.2333465695781533e-21, 0.03783450124201316, 1.019454765196433e-23]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-9,73,0.24778247,-0.18444899,1,0.4064221645962014,-0.08262749250786275,"[0.0020906917964134903, 0.9573968962787155, 1.2595612495437035e-21, 0.04051241192487104, 1.4738042127806755e-23]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-9,74,-0.17648138,-0.41862112,3,-0.10484219422466146,-0.2563392055715372,"[0.0009523885078602616, 7.337120616284388e-05, 1.5231554250025089e-28, 0.9989742397616544, 5.243225468592309e-10]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-9,75,-0.16704087,-0.3598848,3,-0.10484219422466146,-0.2563392055715372,"[0.003960496839500662, 3.5934664553100996e-05, 1.110542158318899e-24, 0.9960035353669464, 3.3128999813253056e-08]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-9,76,0.61073065,0.018717432,1,0.4064221645962014,-0.08262749250786275,"[1.1229490879401865e-05, 0.9999873438820298, 1.437605835378273e-19, 1.4266270907331564e-06, 1.2776188240932825e-52]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-9,77,-0.07488669,0.3827278,2,-0.09296698319274968,0.3323424730002509,"[2.3167297543619684e-05, 1.6562297515024887e-21, 0.9999727644921539, 1.2011647649367673e-12, 4.068209101355576e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-9,78,0.022653038,0.24370801,2,-0.09296698319274968,0.3323424730002509,"[0.22661344508922032, 1.3370073598277804e-11, 0.7731215201263798, 3.0639339998348558e-06, 0.00026197083702982353]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-9,79,0.24368975,0.18879418,0,0.01548792774659148,0.012711213017882826,"[0.9993426645829405, 0.00010687749605620501, 0.0002713776127738266, 0.0002790803081945358, 3.502007996775589e-14]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-9,80,-0.16938657,-0.05973538,0,0.01548792774659148,0.012711213017882826,"[0.5124566785655427, 2.4737344798282173e-09, 4.655933924865729e-08, 0.02902482005656951, 0.458518452344814]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-9,81,-0.25151917,-0.28693447,3,-0.10484219422466146,-0.2563392055715372,"[0.047853200286717155, 1.8517963349749775e-07, 1.997952879361739e-18, 0.9517100515343637, 0.0004365629992856985]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-9,82,0.04577409,-0.24324691,3,-0.10484219422466146,-0.2563392055715372,"[0.023267475336812584, 0.027842173045685658, 9.977187837112536e-21, 0.948890351614692, 2.809682273175789e-12]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-9,83,-0.22563006,-0.049784996,4,-0.23335679127599973,0.009123651433526166,"[0.13417878352623522, 1.4274987714314879e-11, 1.7063878538960494e-07, 0.003623595571387566, 0.862197450249317]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-9,84,-0.20074943,0.040258985,4,-0.23335679127599973,0.009123651433526166,"[0.06272420655082772, 2.52920263425332e-13, 8.561523908483312e-05, 0.00012764728495017776, 0.9370625309248842]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-9,85,-0.1496939,0.30529067,2,-0.09296698319274968,0.3323424730002509,"[0.00010626423669405655, 4.461926735904911e-21, 0.9993217136962641, 4.746541893873173e-11, 0.0005720220195765459]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-9,86,0.2630342,0.051892787,0,0.01548792774659148,0.012711213017882826,"[0.8998178996753151, 0.07994645114818133, 4.370798771945174e-09, 0.020235644805705125, 3.8264492305218604e-17]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-9,87,0.61719507,-0.024593957,1,0.4064221645962014,-0.08262749250786275,"[2.5443171287059594e-06, 0.9999963292759222, 4.461321028877761e-22, 1.1264069491706954e-06, 4.401177107303377e-55]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-9,88,-0.14552048,-0.15470643,3,-0.10484219422466146,-0.2563392055715372,"[0.47282765471792254, 9.472100769272732e-07, 1.717784091626419e-12, 0.5178433933920491, 0.009328004678233647]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-9,89,0.004352061,-0.07103703,0,0.01548792774659148,0.012711213017882826,"[0.796825132406058, 7.716860858856465e-05, 1.230193357398869e-10, 0.20308841375668998, 9.285105644097045e-06]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-9,90,-0.31772932,0.41427824,2,-0.09296698319274968,0.3323424730002509,"[1.4231917487306644e-08, 4.5153555126944874e-33, 0.9999999778866162, 2.5949660676305893e-17, 7.881466169997019e-09]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-9,91,-0.118134014,0.26676714,2,-0.09296698319274968,0.3323424730002509,"[0.0017934939222485904, 5.340147106573851e-18, 0.9932256269912972, 3.968462564983282e-09, 0.00498087511799166]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-9,92,-0.19037005,0.30377576,2,-0.09296698319274968,0.3323424730002509,"[3.879810534263817e-05, 1.1356182663409188e-22, 0.9994887736229132, 1.2921068611335087e-11, 0.0004724282588229731]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-9,93,-0.18803668,0.09546091,4,-0.23335679127599973,0.009123651433526166,"[0.05022824841005874, 2.252526616404174e-14, 0.0033637039619276053, 1.944504062706991e-05, 0.946388602587364]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-9,94,0.32727078,-0.11709024,1,0.4064221645962014,-0.08262749250786275,"[0.0013121626426517473, 0.9936254729621505, 1.0503884935353127e-19, 0.005062364395197887, 6.942962306637753e-28]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-9,95,0.3095995,0.5030761,2,-0.09296698319274968,0.3323424730002509,"[0.004077060294180703, 5.710311174074557e-12, 0.9959229396713193, 2.8789777421039076e-11, 2.0881778884320087e-19]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-9,96,-0.26364937,-0.38828564,3,-0.10484219422466146,-0.2563392055715372,"[0.003802333694113409, 9.641153957019826e-07, 7.16846484064504e-25, 0.9961962211235351, 4.810669558404081e-07]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-9,97,-0.25224024,-0.31188005,3,-0.10484219422466146,-0.2563392055715372,"[0.02520560963654551, 3.1253231160445486e-07, 5.276320503106033e-20, 0.9747125436598921, 8.15341712506688e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-9,98,-0.30068702,-0.14781809,4,-0.23335679127599973,0.009123651433526166,"[0.27926553553338845, 5.702140959414193e-11, 2.8536890176819635e-10, 0.07464608574038946, 0.6460883783838318]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-9,99,-0.09486352,0.005280091,0,0.01548792774659148,0.012711213017882826,"[0.887747972317791, 1.12262550092177e-08, 2.8434421932092224e-06, 0.01197811147407839, 0.10027106153968222]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
-10,0,0.08799766,-0.06060414,0,0.002945234561861476,-0.006432575103510035,"[0.9906203191605683, 0.0019137517867472396, 4.8554228641138095e-12, 0.007465927243394967, 1.8044340159364232e-09]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
-10,1,-0.08406016,0.2851326,2,-0.08640495082265576,0.33966324117856084,"[0.003379609524124062, 8.055138364808113e-18, 0.9729532118636368, 9.411172404116338e-28, 0.023667178612239142]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
-10,2,-0.16364236,-0.11411294,0,0.002945234561861476,-0.006432575103510035,"[0.7380195846148172, 2.2672709056215142e-08, 2.4259892114262918e-11, 0.0002888288906602349, 0.2616915637975536]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
-10,3,0.07371062,-0.27021888,3,-0.09650341739853788,-0.29590062320104177,"[0.025148528254357254, 0.05893965564606824, 1.481308419637847e-24, 0.9159118160911373, 8.437432465899098e-12]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
-10,4,-0.1284643,0.3103237,2,-0.08640495082265576,0.33966324117856084,"[0.0003240152849242954, 7.67074717646605e-21, 0.9616721030544345, 2.9337322715841585e-32, 0.038003881660641184]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
-10,5,-0.23808402,0.26056772,2,-0.08640495082265576,0.33966324117856084,"[0.00018172597696888, 3.6919651529541436e-23, 0.8369187259750334, 5.372386139403128e-32, 0.1628995480479978]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
-10,6,-0.10493148,-0.30384988,3,-0.09650341739853788,-0.29590062320104177,"[0.03072384435735793, 6.992585722479158e-05, 6.471662555864219e-24, 0.9691396233701582, 6.660641525894835e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
-10,7,-0.295713,-0.42771262,3,-0.09650341739853788,-0.29590062320104177,"[0.007819702424958481, 1.396429686080802e-07, 1.5003884346155114e-29, 0.9832237356820082, 0.008956422250064773]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
-10,8,-0.3188932,-0.023905918,4,-0.23524571040060446,0.0016373495389210657,"[0.05728905520187012, 1.0253301867863799e-15, 2.665540794353494e-06, 3.934662538167895e-12, 0.9427082792533998]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
-10,9,0.52375084,0.03593809,1,0.41016320776012516,-0.08083458347146323,"[0.00023603875977998602, 0.9997351898700575, 1.5564990926196295e-16, 2.877137016217493e-05, 3.843756359766872e-46]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
-10,10,-0.24769914,0.06194072,4,-0.23524571040060446,0.0016373495389210657,"[0.026179752361191588, 4.437435654509067e-16, 0.00026750804503792436, 8.681197740040178e-16, 0.9735527395937691]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
-10,11,0.45866024,0.07679337,1,0.41016320776012516,-0.08083458347146323,"[0.008718801928830483, 0.9912462775009181, 1.3461597364984184e-12, 3.492056890535322e-05, 1.93406807224512e-37]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
-10,12,-0.21952832,-0.2596673,3,-0.09650341739853788,-0.29590062320104177,"[0.32156011472851886, 3.147421091766791e-07, 1.4302917730179715e-18, 0.48124523372735417, 0.19719433680201764]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
-10,13,0.5387558,-0.021885695,1,0.41016320776012516,-0.08083458347146323,"[2.8320608093922516e-05, 0.9999361823300753, 3.4844647011747756e-20, 3.549706183084618e-05, 2.0881117270888457e-49]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
-10,14,-0.31746334,-0.03755091,4,-0.23524571040060446,0.0016373495389210657,"[0.06521455188664028, 2.746435243212397e-15, 7.888125228423685e-07, 2.5525291802979845e-11, 0.9347846592753088]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
-10,15,0.21572201,0.15297481,0,0.002945234561861476,-0.006432575103510035,"[0.9998395229604615, 0.00012365047538804845, 3.682451185264157e-05, 2.0522885758478334e-09, 9.05764450385917e-15]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
-10,16,-0.17784788,-0.16018736,0,0.002945234561861476,-0.006432575103510035,"[0.7233464099398695, 8.448104878874504e-08, 1.9670674121207555e-13, 0.006573746362377747, 0.270079759216507]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
-10,17,0.12485067,-0.17534988,3,-0.09650341739853788,-0.29590062320104177,"[0.14320353920661946, 0.11755241757996125, 4.2470349187762135e-19, 0.7392440432130435, 3.759141634307551e-13]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
-10,18,-0.045080878,-0.32160506,3,-0.09650341739853788,-0.29590062320104177,"[0.0169882359701234, 0.0012478284441107261, 3.690417508526412e-26, 0.9817635341690173, 4.014167485476035e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
-10,19,-0.29219365,-0.1354431,4,-0.23524571040060446,0.0016373495389210657,"[0.15133959805525077, 5.898779192953099e-12, 2.996536951456568e-11, 5.337913970467081e-06, 0.8486550639949147]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
-10,20,0.22983314,0.005944166,0,0.002945234561861476,-0.006432575103510035,"[0.8999848054829434, 0.09785387323593393, 6.961162409556062e-11, 0.002161321211511329, 2.5511201949101202e-17]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
-10,21,-0.2313607,0.15489271,4,-0.23524571040060446,0.0016373495389210657,"[0.007625337051519987, 1.747772180071493e-18, 0.05218236267075607, 5.2049038031812055e-22, 0.940192300277724]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
-10,22,0.44196302,-0.22339565,1,0.41016320776012516,-0.08083458347146323,"[3.4818479813586724e-06, 0.9999734053561192, 1.4319157327652867e-30, 2.311279589936081e-05, 1.41784850774565e-42]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
-10,23,0.31953293,-0.23248373,1,0.41016320776012516,-0.08083458347146323,"[0.00012096700844467333, 0.9977376128793082, 5.557965303328435e-28, 0.002141420112247305, 4.041750175148186e-30]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
-10,24,0.0025802255,-0.08199731,0,0.002945234561861476,-0.006432575103510035,"[0.996067872366423, 6.405428006142452e-05, 6.298221852011474e-12, 0.0038594007473638984, 8.672599853453026e-06]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
-10,25,0.023439856,-0.079839304,0,0.002945234561861476,-0.006432575103510035,"[0.9941473384483175, 0.00017018821220791605, 4.231733731961407e-12, 0.0056812140160920665, 1.2593191506881316e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
-10,26,-0.06371302,0.3954228,2,-0.08640495082265576,0.33966324117856084,"[5.689814317199111e-05, 6.265820850549712e-22, 0.9982202118735763, 3.266466678447856e-38, 0.001722889983251769]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
-10,27,-0.2963673,0.015343715,4,-0.23524571040060446,0.0016373495389210657,"[0.034815436106515545, 3.1215110605128047e-16, 2.9098742997205277e-05, 4.8257971479696566e-14, 0.9651554651504387]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
-10,28,0.08612508,0.3898904,2,-0.08640495082265576,0.33966324117856084,"[0.002226839730212853, 8.481231239325685e-16, 0.9977729524430033, 5.465848946997449e-31, 2.078267830696741e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
-10,29,-0.20296153,0.2345368,2,-0.08640495082265576,0.33966324117856084,"[0.0013613838898546174, 1.8102304331203327e-20, 0.5988168811909199, 7.1347849912763645e-28, 0.39982173491922546]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
-10,30,-0.3021013,-0.23802479,4,-0.23524571040060446,0.0016373495389210657,"[0.2667686470328067, 8.690343409708065e-10, 3.401710734767163e-16, 0.020700615879482947, 0.7125307362186756]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
-10,31,0.40233114,0.06031101,1,0.41016320776012516,-0.08083458347146323,"[0.04271003459951489, 0.9571439385160354, 6.0425766221195555e-12, 0.00014602687840722, 1.1025045708725192e-31]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
-10,32,-0.31179968,-0.050893012,4,-0.23524571040060446,0.0016373495389210657,"[0.07260554664929426, 9.284705474209525e-15, 1.9955808346161303e-07, 1.7955609875259436e-10, 0.927394253613057]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
-10,33,0.11298243,0.035079706,0,0.002945234561861476,-0.006432575103510035,"[0.9998735629243286, 0.00011933327367509867, 3.0656211582184834e-08, 7.072519209505426e-06, 6.265750347096758e-10]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
-10,34,-0.23456638,0.06657637,4,-0.23524571040060446,0.0016373495389210657,"[0.029825084673470517, 9.370430639219685e-16, 0.000301474322793135, 1.0655354303042047e-15, 0.9698734410037343]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
-10,35,0.11017645,-0.16371755,3,-0.09650341739853788,-0.29590062320104177,"[0.23970441392184325, 0.068291170596852, 4.680862999137449e-18, 0.6920044154763719, 4.932761087146026e-12]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
-10,36,0.1429859,0.059452157,0,0.002945234561861476,-0.006432575103510035,"[0.9998078463694535, 0.00018999292624385976, 1.2039070585108033e-07, 2.0402890722986472e-06, 2.4524616035559937e-11]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
-10,37,-0.040502112,0.02318828,0,0.002945234561861476,-0.006432575103510035,"[0.998104107700863, 5.0963695013655995e-08, 8.030240203411261e-07, 7.576457448548564e-08, 0.0018949625468468265]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
-10,38,-0.06471333,0.08954511,0,0.002945234561861476,-0.006432575103510035,"[0.9646981988577736, 4.305012727385995e-10, 0.0004630913631959592, 1.0997682194075345e-11, 0.03483870933753138]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
-10,39,0.06407858,0.09707585,0,0.002945234561861476,-0.006432575103510035,"[0.9999738431331113, 5.265680756932688e-07, 2.5018844766651058e-05, 1.7695276878085715e-09, 6.096845184382055e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
-10,40,-0.021407472,0.09407413,0,0.002945234561861476,-0.006432575103510035,"[0.9981845233017401, 4.6657083702292155e-09, 0.000205420649145825, 5.206488898222535e-11, 0.0016100513313405897]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
-10,41,-0.056248758,0.025906589,0,0.002945234561861476,-0.006432575103510035,"[0.9936905027172126, 1.7972694421555295e-08, 1.616096855362318e-06, 2.9585997531396635e-08, 0.006307833627239957]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
-10,42,-0.15132618,0.02146309,4,-0.23524571040060446,0.0016373495389210657,"[0.4261203621467424, 3.2664214150721125e-11, 7.5974685203690385e-06, 3.3307253243822634e-10, 0.5738720400190004]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
-10,43,-0.18518934,0.0027779788,4,-0.23524571040060446,0.0016373495389210657,"[0.21209168287445856, 5.258001376284965e-12, 1.907194149187238e-06, 3.181036985761676e-10, 0.7879064096080308]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
-10,44,0.5118622,-0.024860546,1,0.41016320776012516,-0.08083458347146323,"[6.117398274874476e-05, 0.9998693654518532, 1.09739474791544e-19, 6.946056539790616e-05, 3.064153654836914e-46]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
-10,45,-0.0018669573,0.3644946,2,-0.08640495082265576,0.33966324117856084,"[0.0007560146714548453, 3.9834298001883936e-18, 0.9991157853604098, 3.119605208432982e-32, 0.00012819996813517366]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
-10,46,-0.24925767,0.015651966,4,-0.23524571040060446,0.0016373495389210657,"[0.0473740861557828, 9.659592309359682e-15, 9.596790125935373e-06, 6.996086576378088e-13, 0.952616317053382]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
-10,47,0.2804453,-0.1894261,1,0.41016320776012516,-0.08083458347146323,"[0.0015226242441279964, 0.9737533793238838, 6.76609383496138e-24, 0.024723996431988315, 1.4712832587524996e-25]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
-10,48,0.37225774,-0.11562894,1,0.41016320776012516,-0.08083458347146323,"[0.0005058668662448561, 0.9966429357981816, 1.4346199726712469e-21, 0.002851197335573661, 6.890722228505734e-33]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
-10,49,0.1460578,0.21914145,0,0.002945234561861476,-0.006432575103510035,"[0.9796672308919089, 1.3169294804190016e-07, 0.020332636639278406, 1.825836754484863e-14, 7.758464405081024e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
-10,50,0.07159563,-0.024327766,0,0.002945234561861476,-0.006432575103510035,"[0.9994914760958287, 0.00018779541405794466, 3.32412748172935e-10, 0.0003207051322672924, 2.3025433139150548e-08]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
-10,51,-0.078428976,-0.18954016,0,0.002945234561861476,-0.006432575103510035,"[0.6521254537511829, 5.959296937771344e-05, 2.0447520607653289e-16, 0.3470032320270855, 0.0008117212523536354]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
-10,52,-0.23586994,0.37846398,2,-0.08640495082265576,0.33966324117856084,"[1.495002862907821e-06, 1.4474026643704592e-28, 0.9855865034466087, 1.153777743083544e-44, 0.014412001550528231]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
-10,53,-0.15925287,-0.015642455,4,-0.23524571040060446,0.0016373495389210657,"[0.47995152354574866, 1.526196599508774e-10, 3.4926509175166893e-07, 1.7800307590891692e-08, 0.5200481092362325]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
-10,54,0.38273144,-0.19184409,1,0.41016320776012516,-0.08083458347146323,"[4.444503531397606e-05, 0.9993622407472913, 6.989572805303508e-27, 0.0005933142173944825, 1.2877197984487264e-35]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
-10,55,-0.029614072,-0.05991212,0,0.002945234561861476,-0.006432575103510035,"[0.9995179960587379, 4.464763449016788e-06, 1.7394695472791286e-10, 0.00027934762496068476, 0.00019819137890531062]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
-10,56,-0.041920777,-0.1336057,0,0.002945234561861476,-0.006432575103510035,"[0.9579322564633483, 5.5365917946339596e-05, 7.469836751484432e-14, 0.04184557636925195, 0.00016680124937858075]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
-10,57,-0.05421332,-0.22073112,3,-0.09650341739853788,-0.29590062320104177,"[0.226518358793844, 0.00024825822454762887, 6.343505431788342e-19, 0.7732003358812847, 3.304710032368682e-05]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
-10,58,-0.19589648,0.09422963,4,-0.23524571040060446,0.0016373495389210657,"[0.04606728622061764, 3.971562611908332e-15, 0.0013611828813336838, 2.8425338148059155e-16, 0.9525715308980445]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
-10,59,0.09615892,0.18102637,0,0.002945234561861476,-0.006432575103510035,"[0.9941774748506137, 5.3192410394141115e-08, 0.005822348661750524, 2.4385279433759436e-13, 1.232949815967656e-07]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
-10,60,-0.013711061,-0.07216554,0,0.002945234561861476,-0.006432575103510035,"[0.9987541855306568, 1.7913223606588797e-05, 2.963301124149095e-11, 0.0011847908903247018, 4.3110325778895125e-05]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
-10,61,0.49365819,-0.019841706,1,0.41016320776012516,-0.08083458347146323,"[0.0001276047990209027, 0.9997666784238356, 6.257833827082107e-19, 0.00010571677714345364, 5.693425784811017e-44]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
-10,62,-0.096782275,0.2680031,2,-0.08640495082265576,0.33966324117856084,"[0.005680242873324946, 1.587085801472409e-17, 0.939230159187446, 1.4012743333776437e-26, 0.05508959793922917]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
-10,63,-0.07022652,-0.30347943,3,-0.09650341739853788,-0.29590062320104177,"[0.02517253277511513, 0.0002990297550664322, 1.7101060680194262e-24, 0.9745234055195079, 5.031950310464322e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
-10,64,-0.08510746,-0.26066056,3,-0.09650341739853788,-0.29590062320104177,"[0.08641519119814231, 9.860143930913603e-05, 3.529734882160131e-21, 0.9134095569732511, 7.665038929727292e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
-10,65,-0.00251228,0.3769304,2,-0.08640495082265576,0.33966324117856084,"[0.00046344299187792837, 1.1049685683603977e-18, 0.9994215995613508, 1.5925657902741722e-33, 0.00011495744677117973]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
-10,66,0.42614552,0.08994585,1,0.41016320776012516,-0.08083458347146323,"[0.04641234705780684, 0.9535518992229356, 5.177929519753377e-11, 3.575366747829885e-05, 1.8511553110823507e-33]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
-10,67,0.25132486,-0.20319358,1,0.41016320776012516,-0.08083458347146323,"[0.002862537244103252, 0.9429789946823895, 5.1395986268867395e-24, 0.05415846807350735, 3.1730778168024187e-23]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
-10,68,-0.18157998,0.03947093,4,-0.23524571040060446,0.0016373495389210657,"[0.15044340641629506, 6.677646029220518e-13, 3.228044262264455e-05, 3.104871533070724e-12, 0.8495243131373098]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
-10,69,-0.12251995,-0.049827244,0,0.002945234561861476,-0.006432575103510035,"[0.8952795625444527, 1.3781643475219349e-08, 7.3742901788665456e-09, 4.582644605822861e-06, 0.104715833655008]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
-10,70,-0.18423451,0.25213403,2,-0.08640495082265576,0.33966324117856084,"[0.001044146198569188, 1.7679278574619694e-20, 0.7319731768601363, 8.549587558688517e-29, 0.26698267694129446]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
-10,71,-0.04843812,0.4040603,2,-0.08640495082265576,0.33966324117856084,"[6.141306731066013e-05, 1.1516632109882474e-21, 0.9990561666836959, 2.0552829926992433e-38, 0.0008824202489935722]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
-10,72,0.25011468,-0.18353273,1,0.41016320776012516,-0.08083458347146323,"[0.005286374172183919, 0.9200921045833669, 1.2406113745001615e-22, 0.07462152124444915, 1.0403884320005518e-22]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
-10,73,0.24778247,-0.18444899,1,0.41016320776012516,-0.08083458347146323,"[0.005583052287605442, 0.914850275321905, 1.250555042916374e-22, 0.07956667239048947, 1.5924518798145713e-22]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
-10,74,-0.17648138,-0.41862112,3,-0.09650341739853788,-0.29590062320104177,"[0.00824016242240215, 4.155312961315482e-05, 8.12575248475518e-31, 0.991329020658581, 0.00038926378940372814]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
-10,75,-0.16704087,-0.3598848,3,-0.09650341739853788,-0.29590062320104177,"[0.013811427569392038, 1.252735400752359e-05, 7.69701529133544e-27, 0.9855850996469695, 0.000590945429631009]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
-10,76,0.61073065,0.018717432,1,0.41016320776012516,-0.08083458347146323,"[9.354618978774356e-06, 0.999985023330978, 1.286755276263911e-19, 5.622050043237067e-06, 1.7525195948678313e-57]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
-10,77,-0.07488669,0.3827278,2,-0.08640495082265576,0.33966324117856084,"[6.73682415352724e-05, 7.508483699160371e-22, 0.997052874893642, 2.160573109309662e-37, 0.0028797568648225467]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
-10,78,0.022653038,0.24370801,2,-0.08640495082265576,0.33966324117856084,"[0.3285335375377373, 8.536529143639976e-12, 0.6711376036217209, 1.3296856191496765e-19, 0.0003288588320052455]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
-10,79,0.24368975,0.18879418,0,0.002945234561861476,-0.006432575103510035,"[0.9996523316741727, 0.00010284423670312582, 0.0002448239798301327, 1.0929392910362789e-10, 3.2276704989745667e-16]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
-10,80,-0.16938657,-0.05973538,0,0.002945234561861476,-0.006432575103510035,"[0.529397747872649, 8.356153917871802e-10, 6.758098706181137e-09, 1.2534403756095113e-06, 0.47060099109326126]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
-10,81,-0.25151917,-0.28693447,3,-0.09650341739853788,-0.29590062320104177,"[0.1893062522165287, 1.0380579531964424e-07, 6.600816648086707e-20, 0.6032521754569269, 0.20744146852074907]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
-10,82,0.04577409,-0.24324691,3,-0.09650341739853788,-0.29590062320104177,"[0.048191424411287834, 0.01335578061035582, 2.7392011129847758e-22, 0.9384527944512259, 5.271304691768502e-10]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
-10,83,-0.22563006,-0.049784996,4,-0.23524571040060446,0.0016373495389210657,"[0.14910936091477872, 4.5703276415401826e-12, 3.002197989357886e-08, 1.3835535356374918e-08, 0.8508905952231358]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
-10,84,-0.20074943,0.040258985,4,-0.23524571040060446,0.0016373495389210657,"[0.08850853310171526, 1.1025206478699069e-13, 3.596072646296042e-05, 6.367893122286407e-13, 0.9114555061710748]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
-10,85,-0.1496939,0.30529067,2,-0.08640495082265576,0.33966324117856084,"[0.00023282343791365025, 1.673399947154071e-21, 0.941855060114082, 1.0893618592822724e-32, 0.05791211644800436]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
-10,86,0.2630342,0.051892787,0,0.002945234561861476,-0.006432575103510035,"[0.9239414718676677, 0.0758904590490216, 2.2487022902733137e-09, 0.0001680668346082642, 3.6888458179609934e-19]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
-10,87,0.61719507,-0.024593957,1,0.41016320776012516,-0.08083458347146323,"[2.6258262577264233e-06, 0.9999924110630876, 3.2766663877004656e-22, 4.963110654692404e-06, 2.237434770772063e-59]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
-10,88,-0.14552048,-0.15470643,0,0.002945234561861476,-0.006432575103510035,"[0.8999353787066208, 5.023772276065508e-07, 1.629644160298772e-13, 0.012947941230368085, 0.08711617768562051]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
-10,89,0.004352061,-0.07103703,0,0.002945234561861476,-0.006432575103510035,"[0.9981463523700725, 4.3920290871419805e-05, 1.937601805732043e-11, 0.001800878344737294, 8.848974942721717e-06]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
-10,90,-0.31772932,0.41427824,2,-0.08640495082265576,0.33966324117856084,"[6.602272229146598e-08, 7.427650625716922e-34, 0.998865478930379, 5.459296365554138e-53, 0.0011344550468988539]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
-10,91,-0.118134014,0.26676714,2,-0.08640495082265576,0.33966324117856084,"[0.0033555004073141693, 2.350418030184237e-18, 0.9026765789717102, 2.2684378290894777e-27, 0.09396792062097549]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
-10,92,-0.19037005,0.30377576,2,-0.08640495082265576,0.33966324117856084,"[8.614725075272459e-05, 3.619708072216731e-23, 0.9252081276093643, 2.2473680296685544e-34, 0.07470572513988286]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
-10,93,-0.18803668,0.09546091,4,-0.23524571040060446,0.0016373495389210657,"[0.056256640170435177, 7.600993750404723e-15, 0.001457262723789394, 4.521218731981138e-16, 0.9422860971057675]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
-10,94,0.32727078,-0.11709024,1,0.41016320776012516,-0.08083458347146323,"[0.00241181034444741, 0.9865055121461364, 2.0626715948735662e-20, 0.011082677509416394, 2.0737256392485832e-28]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
-10,95,0.3095995,0.5030761,2,-0.08640495082265576,0.33966324117856084,"[0.008900521776045197, 5.301609110009345e-12, 0.9910994782186533, 1.468284819005821e-32, 1.2450986677198503e-18]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
-10,96,-0.26364937,-0.38828564,3,-0.09650341739853788,-0.29590062320104177,"[0.012830750427640243, 2.5564601031094153e-07, 3.285449279838873e-27, 0.9765312138074457, 0.010637780118903735]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
-10,97,-0.25224024,-0.31188005,3,-0.09650341739853788,-0.29590062320104177,"[0.09077563446074763, 1.4046869789990082e-07, 1.0427518956181823e-21, 0.8223334482264414, 0.08689077684411314]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
-10,98,-0.30068702,-0.14781809,4,-0.23524571040060446,0.0016373495389210657,"[0.16194374668334552, 6.963032715809104e-12, 1.0515411632995545e-11, 1.2963999753227383e-05, 0.8380432892994227]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
-10,99,-0.09486352,0.005280091,0,0.002945234561861476,-0.006432575103510035,"[0.9463312916674134, 4.960982754379853e-09, 7.183613404303632e-07, 5.3005741806212476e-08, 0.05366793200452171]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+iteration,point_id,x,y,cluster,centroid_x,centroid_y,probabilities,variance,weight,id,title,keywords,rating_avg,confidence_avg,author,aff,position,site,github,pdf,openreview,poster
+1,0,0.08799766,-0.06060414,0,0.04592027600134834,0.004652675863308072,"[0.9610000020148031, 0.0036101233088717995, 7.72417411803021e-12, 0.03536290162418439, 2.697304441648884e-05]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+1,1,-0.08406016,0.2851326,2,-0.09399681602352898,0.3334173716850977,"[0.0032659950178664447, 9.674464378693313e-17, 0.9942752758117072, 4.324628379884822e-13, 0.002458729169993784]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+1,2,-0.16364236,-0.11411294,4,-0.21850191112381967,-0.004302541343377307,"[0.32233174048731567, 1.909954497691898e-07, 1.0319537967163742e-10, 0.06317067208854182, 0.6144973963254974]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+1,3,0.07371062,-0.27021888,3,-0.1311631712723375,-0.28463581165563745,"[0.10367272859160921, 0.14631356239915883, 9.005220360805688e-24, 0.7500136597245377, 4.928469434669066e-08]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+1,4,-0.1284643,0.3103237,2,-0.09399681602352898,0.3334173716850977,"[0.0003224283552737136, 1.474986441194567e-19, 0.9986732951649601, 4.632228587330358e-15, 0.001004276479761642]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+1,5,-0.23808402,0.26056772,2,-0.09399681602352898,0.3334173716850977,"[8.552755778850757e-05, 1.636993024538528e-21, 0.9906472779799465, 2.176526971298093e-14, 0.0092671944622432]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+1,6,-0.10493148,-0.30384988,3,-0.1311631712723375,-0.28463581165563745,"[0.047221013204990066, 0.0002848157624912368, 6.525928147428476e-23, 0.9524209402134818, 7.323081903706098e-05]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+1,7,-0.295713,-0.42771262,3,-0.1311631712723375,-0.28463581165563745,"[0.005259129124738324, 1.4069793709380055e-06, 5.700181925132596e-28, 0.9947261888465835, 1.3275049307222582e-05]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+1,8,-0.3188932,-0.023905918,4,-0.21850191112381967,-0.004302541343377307,"[0.00472881192788093, 2.5980413326266375e-14, 6.239642665604645e-06, 2.0895699138269544e-05, 0.9952440527302892]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+1,9,0.52375084,0.03593809,1,0.40261197255458847,-0.08318364083571851,"[0.00010751321889685142, 0.9998920594071498, 5.572186481549969e-17, 4.2737395327678336e-07, 2.3328507267174085e-26]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+1,10,-0.24769914,0.06194072,4,-0.21850191112381967,-0.004302541343377307,"[0.006236343880692106, 1.2033773478392555e-14, 0.0006284588481700384, 4.4039671729755225e-07, 0.9931347568744087]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+1,11,0.45866024,0.07679337,1,0.40261197255458847,-0.08318364083571851,"[0.004789577074593344, 0.9952075616560121, 6.050415165331628e-13, 2.8612687894952684e-06, 3.120589578683671e-21]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+1,12,-0.21952832,-0.2596673,3,-0.1311631712723375,-0.28463581165563745,"[0.07127129555808932, 1.2633519665545733e-06, 6.724970057911959e-18, 0.9111330421871165, 0.017594398902827598]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+1,13,0.5387558,-0.021885695,1,0.40261197255458847,-0.08318364083571851,"[1.4774489013496798e-05, 0.9999847920885987, 1.1845671195984715e-20, 4.334223877752761e-07, 2.4962729196524225e-28]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+1,14,-0.31746334,-0.03755091,4,-0.21850191112381967,-0.004302541343377307,"[0.005726122721549833, 6.926503508842367e-14, 2.0724985147437775e-06, 4.743053884860861e-05, 0.9942243742410175]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+1,15,0.21572201,0.15297481,0,0.04592027600134834,0.004652675863308072,"[0.9997382412285086, 0.00022492052092407046, 3.254079281824419e-05, 4.281899492774582e-06, 1.555825628727213e-08]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+1,16,-0.17784788,-0.16018736,4,-0.21850191112381967,-0.004302541343377307,"[0.33351309216588193, 7.210986196262135e-07, 1.1015125835204239e-12, 0.29616321114666644, 0.3703229755877306]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+1,17,0.12485067,-0.17534988,3,-0.1311631712723375,-0.28463581165563745,"[0.35969524678899134, 0.24945115311311714, 1.336528123427154e-18, 0.3908535182000549, 8.189783658746366e-08]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+1,18,-0.045080878,-0.32160506,3,-0.1311631712723375,-0.28463581165563745,"[0.04562771302136759, 0.003851214224858593, 3.587565445717475e-25, 0.950518240880963, 2.831872810621381e-06]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+1,19,-0.29219365,-0.1354431,4,-0.21850191112381967,-0.004302541343377307,"[0.03988952455276641, 1.941668455013209e-10, 2.7439085130769777e-10, 0.01701592832211219, 0.9430945466565637]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+1,20,0.22983314,0.005944166,0,0.04592027600134834,0.004652675863308072,"[0.8726510071091341, 0.1236175974226023, 6.397277890466351e-11, 0.0037313936783736337, 1.725917295764124e-09]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+1,21,-0.2313607,0.15489271,4,-0.21850191112381967,-0.004302541343377307,"[0.005415360369404412, 1.1773901720972085e-16, 0.18869304900753484, 1.8474717090081445e-09, 0.8058915887755889]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+1,22,0.44196302,-0.22339565,1,0.40261197255458847,-0.08318364083571851,"[9.252365565376698e-06, 0.9999716321016106, 1.0635862808138545e-30, 1.9115532824036688e-05, 1.825476793420965e-25]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+1,23,0.31953293,-0.23248373,1,0.40261197255458847,-0.08318364083571851,"[0.00039576522117051703, 0.9985528973984195, 7.338681148388485e-28, 0.0010513373804100139, 1.9664526729881777e-18]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+1,24,0.0025802255,-0.08199731,0,0.04592027600134834,0.004652675863308072,"[0.9318091882181055, 0.00020624808115773466, 1.5882418822627e-11, 0.06517485557460803, 0.002809708110246239]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+1,25,0.023439856,-0.079839304,0,0.04592027600134834,0.004652675863308072,"[0.9365120974650514, 0.0004649476329699633, 9.43660473748381e-12, 0.0620863849783889, 0.0009365699141530529]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+1,26,-0.06371302,0.3954228,2,-0.09399681602352898,0.3334173716850977,"[0.00012402458843111796, 9.809417459177354e-21, 0.9998672617000046, 3.707108009713051e-18, 8.713711564161742e-06]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+1,27,-0.2963673,0.015343715,4,-0.21850191112381967,-0.004302541343377307,"[0.004025573496148959, 8.30215531739575e-15, 6.349280583428496e-05, 2.786206062738948e-06, 0.9959081474919457]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+1,28,0.08612508,0.3898904,2,-0.09399681602352898,0.3334173716850977,"[0.005582459458721729, 4.764073000161274e-15, 0.9944173949857597, 1.160172678290867e-15, 1.4555551276842973e-07]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+1,29,-0.20296153,0.2345368,2,-0.09399681602352898,0.3334173716850977,"[0.0008568330877808954, 6.741648899891591e-19, 0.9491985707660823, 1.7748491800779232e-12, 0.04994459614436192]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+1,30,-0.3021013,-0.23802479,3,-0.1311631712723375,-0.28463581165563745,"[0.078216314327577, 2.084693702197382e-08, 5.116143815581607e-15, 0.7496380649648993, 0.1721455998605815]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+1,31,0.40233114,0.06031101,1,0.40261197255458847,-0.08318364083571851,"[0.029252290954653103, 0.9707209776424296, 3.2371448930461047e-12, 2.6731399680118383e-05, 8.104664747159253e-18]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+1,32,-0.31179968,-0.050893012,4,-0.21850191112381967,-0.004302541343377307,"[0.007341226682350194, 2.3370368689936066e-13, 6.089962962811924e-07, 0.00011082469992327721, 0.9925473396211966]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+1,33,0.11298243,0.035079706,0,0.04592027600134834,0.004652675863308072,"[0.9988378758654758, 0.00027571342096332737, 4.173473036602718e-08, 0.000868366435480037, 1.8002543350531202e-05]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+1,34,-0.23456638,0.06657637,4,-0.21850191112381967,-0.004302541343377307,"[0.007942055272435529, 2.337500706355445e-14, 0.0006989851658039866, 4.56362283567183e-07, 0.9913585031994534]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+1,35,0.11017645,-0.16371755,0,0.04592027600134834,0.004652675863308072,"[0.4741398117776026, 0.13388913934504604, 1.284059610475572e-17, 0.39197065652422397, 3.9235312746065776e-07]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+1,36,0.1429859,0.059452157,0,0.04592027600134834,0.004652675863308072,"[0.9992775371382331, 0.000397186511474393, 1.4339323089959214e-07, 0.00032240409466069084, 2.7288624008410396e-06]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+1,37,-0.040502112,0.02318828,0,0.04592027600134834,0.004652675863308072,"[0.9000372974437778, 3.439915724508072e-07, 2.084966519170096e-06, 0.0008261911160259755, 0.09913408248210462]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+1,38,-0.06471333,0.08954511,0,0.04592027600134834,0.004652675863308072,"[0.6500725262364759, 3.166110685424269e-09, 0.0008267806747929298, 2.0590635403637598e-05, 0.34908009928721684]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+1,39,0.06407858,0.09707585,0,0.04592027600134834,0.004652675863308072,"[0.9992848146726905, 1.8826410546362493e-06, 3.6326326982560525e-05, 3.7108356063240894e-05, 0.0006398680032090677]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+1,40,-0.021407472,0.09407413,0,0.04592027600134834,0.004652675863308072,"[0.9324394139594736, 3.1156156027442466e-08, 0.00040286415203111915, 2.7864405126243902e-05, 0.06712982632721294]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+1,41,-0.056248758,0.025906589,0,0.04592027600134834,0.004652675863308072,"[0.8095415164619693, 1.2951827118975427e-07, 4.119305035234441e-06, 0.0006260870059660554, 0.18982814770875808]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+1,42,-0.15132618,0.02146309,4,-0.21850191112381967,-0.004302541343377307,"[0.09832097703664125, 2.0034667043509203e-10, 1.025127196184222e-05, 7.201636967516488e-05, 0.9015967551213753]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+1,43,-0.18518934,0.0027779788,4,-0.21850191112381967,-0.004302541343377307,"[0.04484994091027801, 4.448415250753522e-11, 3.2481227170592724e-06, 7.318670960373645e-05, 0.9550736242129171]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+1,44,0.5118622,-0.024860546,1,0.40261197255458847,-0.08318364083571851,"[3.74033568319175e-05, 0.9999614892812593, 4.268855222649279e-20, 1.1073619088770351e-06, 1.6279031192725568e-26]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+1,45,-0.0018669573,0.3644946,2,-0.09399681602352898,0.3334173716850977,"[0.0014808877216321938, 3.569608427880069e-17, 0.9985099546906303, 9.78862706585379e-16, 9.157587736539737e-06]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+1,46,-0.24925767,0.015651966,4,-0.21850191112381967,-0.004302541343377307,"[0.008751271452824219, 1.904108777336706e-13, 2.239112894203609e-05, 6.651020044086569e-06, 0.9912196863979992]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+1,47,0.2804453,-0.1894261,1,0.40261197255458847,-0.08318364083571851,"[0.0035614229504687296, 0.9916380034659878, 8.837466110939935e-24, 0.0048005735835411805, 2.2093692435076132e-15]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+1,48,0.37225774,-0.11562894,1,0.40261197255458847,-0.08318364083571851,"[0.0007498254771960463, 0.9990431435887542, 1.1307501151102556e-21, 0.00020703093404972542, 3.7721394901521905e-19]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+1,49,0.1460578,0.21914145,0,0.04592027600134834,0.004652675863308072,"[0.9831076641151729, 3.1113500138644485e-07, 0.016889197809427447, 5.898366652629734e-08, 2.7679567319159686e-06]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+1,50,0.07159563,-0.024327766,0,0.04592027600134834,0.004652675863308072,"[0.9902543400816733, 0.0004659921792890681, 5.726409412905504e-10, 0.009145151467489756, 0.00013451569890691372]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+1,51,-0.078428976,-0.18954016,3,-0.1311631712723375,-0.28463581165563745,"[0.35058214083966494, 0.00014133904803836035, 5.765959086196806e-16, 0.6440398252037266, 0.005236694908569497]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+1,52,-0.23586994,0.37846398,2,-0.09399681602352898,0.3334173716850977,"[1.658483445042575e-06, 1.0301760449183459e-26, 0.9999593594170149, 3.975245948143834e-20, 3.8982099540097025e-05]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+1,53,-0.15925287,-0.015642455,4,-0.21850191112381967,-0.004302541343377307,"[0.1122402139109214, 9.520332442980468e-10, 5.792766649490419e-07, 0.000447364983543358, 0.8873118408768372]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+1,54,0.38273144,-0.19184409,1,0.40261197255458847,-0.08318364083571851,"[0.00010553172188101492, 0.9997525732733523, 6.387282078854181e-27, 0.00014189500476657479, 2.971731934177852e-21]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+1,55,-0.029614072,-0.05991212,0,0.04592027600134834,0.004652675863308072,"[0.949739120704459, 2.1694466676259363e-05, 5.31791964972929e-10, 0.02875290431312447, 0.021486279983948538]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+1,56,-0.041920777,-0.1336057,0,0.04592027600134834,0.004652675863308072,"[0.7238206712352738, 0.00017164591827094466, 2.1513184490631107e-13, 0.26841313063485733, 0.007594552211382607]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+1,57,-0.05421332,-0.22073112,3,-0.1311631712723375,-0.28463581165563745,"[0.21018081989458215, 0.0006346498169720431, 2.5293145959971368e-18, 0.7887152364757084, 0.0004692938127373637]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+1,58,-0.19589648,0.09422963,4,-0.21850191112381967,-0.004302541343377307,"[0.01734574539940661, 8.234592657572673e-14, 0.0029285060796302373, 2.514979873569191e-07, 0.9797254970228935]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+1,59,0.09615892,0.18102637,0,0.04592027600134834,0.004652675863308072,"[0.9938977845329359, 1.643325800572644e-07, 0.006006729741668643, 4.290538136549065e-07, 9.48923390016514e-05]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+1,60,-0.013711061,-0.07216554,0,0.04592027600134834,0.004652675863308072,"[0.9461304017945044, 7.08021501013797e-05, 8.298865058434365e-11, 0.04589182991139041, 0.007906966061015298]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+1,61,0.49365819,-0.019841706,1,0.40261197255458847,-0.08318364083571851,"[8.3351353639697e-05, 0.9999146528601249, 2.6366564700931807e-19, 1.9957862352567147e-06, 3.4263057308397865e-25]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+1,62,-0.096782275,0.2680031,2,-0.09399681602352898,0.3334173716850977,"[0.004834549546057942, 1.9946756703523662e-16, 0.9880773253054534, 1.9890990032335366e-12, 0.007088125146499437]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+1,63,-0.07022652,-0.30347943,3,-0.1311631712723375,-0.28463581165563745,"[0.0529787788153205, 0.0011106812629624627, 1.6900370116925454e-23, 0.9458911211944954, 1.941872722150108e-05]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+1,64,-0.08510746,-0.26066056,3,-0.1311631712723375,-0.28463581165563745,"[0.0986930751955586, 0.00032992082896524485, 2.2444436612965276e-20, 0.9007061459475155, 0.00027085802796055744]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+1,65,-0.00251228,0.3769304,2,-0.09399681602352898,0.3334173716850977,"[0.0009856134483468301, 1.0350959196346143e-17, 0.9990092081460763, 2.4125382412088737e-16, 5.178405576737277e-06]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+1,66,0.42614552,0.08994585,1,0.40261197255458847,-0.08318364083571851,"[0.027986402037814207, 0.9720054818462879, 2.556523729917162e-11, 8.11609033242367e-06, 7.364890696769862e-19]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+1,67,0.25132486,-0.20319358,1,0.40261197255458847,-0.08318364083571851,"[0.007100953008434184, 0.9802795209818397, 7.733591691791306e-24, 0.01261952600968582, 4.0194463962538063e-14]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+1,68,-0.18157998,0.03947093,4,-0.21850191112381967,-0.004302541343377307,"[0.035447255799585076, 6.525401405020722e-12, 5.1174239237968217e-05, 9.863040891907582e-06, 0.9644917069137597]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+1,69,-0.12251995,-0.049827244,4,-0.21850191112381967,-0.004302541343377307,"[0.4109120240574529, 9.400013057134155e-08, 2.026991530796236e-08, 0.007406527078839336, 0.5816813345936619]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+1,70,-0.18423451,0.25213403,2,-0.09399681602352898,0.3334173716850977,"[0.0006910578260924498, 5.204461105765133e-19, 0.9776187883273546, 4.699011183152252e-13, 0.02169015384608309]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+1,71,-0.04843812,0.4040603,2,-0.09399681602352898,0.3334173716850977,"[0.00014712045432586855, 1.648419687768669e-20, 0.9998483929645298, 2.4939386452028257e-18, 4.486581144363389e-06]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+1,72,0.25011468,-0.18353273,1,0.40261197255458847,-0.08318364083571851,"[0.011640440433163838, 0.9741714772873222, 1.769324204810824e-22, 0.014188082279391351, 1.2260839818354404e-13]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+1,73,0.24778247,-0.18444899,1,0.40261197255458847,-0.08318364083571851,"[0.012346833246183778, 0.9723062444888793, 1.8050553379002336e-22, 0.015346922264781812, 1.5532078837784284e-13]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+1,74,-0.17648138,-0.41862112,3,-0.1311631712723375,-0.28463581165563745,"[0.011113125040745405, 0.00013548861360206427, 1.3825347979630302e-29, 0.9887485899551346, 2.7963905179526303e-06]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+1,75,-0.16704087,-0.3598848,3,-0.1311631712723375,-0.28463581165563745,"[0.018451430770640737, 6.20226902770278e-05, 1.2418350903778268e-25, 0.9814509349183721, 3.561162071014226e-05]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+1,76,0.61073065,0.018717432,1,0.40261197255458847,-0.08318364083571851,"[2.5375689454557664e-06, 0.9999974361486483, 2.937117193399011e-20, 2.6282406398326138e-08, 6.782642316171068e-33]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+1,77,-0.07488669,0.3827278,2,-0.09399681602352898,0.3334173716850977,"[0.00013023081216295855, 1.2267676376662749e-20, 0.9998514042450997, 9.946609008659554e-18, 1.8364942737468188e-05]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+1,78,0.022653038,0.24370801,2,-0.09399681602352898,0.3334173716850977,"[0.3358917566335536, 4.316739758147992e-11, 0.6620296238396164, 1.7513685342064208e-09, 0.002078617732294135]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+1,79,0.24368975,0.18879418,0,0.04592027600134834,0.004652675863308072,"[0.9996235026270697, 0.00017798774783134985, 0.00019780860665985324, 6.995134340310877e-07, 1.5050052029445228e-09]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+1,80,-0.16938657,-0.05973538,4,-0.21850191112381967,-0.004302541343377307,"[0.14469757949813075, 6.007240228714849e-09, 1.6347392849906497e-08, 0.003671699325283096, 0.8516306988219531]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+1,81,-0.25151917,-0.28693447,3,-0.1311631712723375,-0.28463581165563745,"[0.038626410785205206, 5.19288625174458e-07, 4.1851696382379185e-19, 0.9530239884999264, 0.008349081426243183]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+1,82,0.04577409,-0.24324691,3,-0.1311631712723375,-0.28463581165563745,"[0.16203526820312875, 0.04119355474554887, 1.7574062786915264e-21, 0.7967702054317503, 9.71619572027632e-07]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+1,83,-0.22563006,-0.049784996,4,-0.21850191112381967,-0.004302541343377307,"[0.03140731915304705, 5.89550850682295e-11, 8.650930869747344e-08, 0.0004960609616575806, 0.9680965333170316]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+1,84,-0.20074943,0.040258985,4,-0.21850191112381967,-0.004302541343377307,"[0.02114015665756624, 1.4318886719844231e-12, 6.620649787795047e-05, 5.345058890501094e-06, 0.9787882917842334]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+1,85,-0.1496939,0.30529067,2,-0.09399681602352898,0.3334173716850977,"[0.0002099634238465346, 3.825363432793819e-20, 0.9983741504313117, 3.7223493715876405e-15, 0.0014158861448380763]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+1,86,0.2630342,0.051892787,0,0.04592027600134834,0.004652675863308072,"[0.8969095586566842, 0.10243913673353214, 1.938726808424085e-09, 0.0006513025065655928, 1.6449137266308135e-10]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+1,87,0.61719507,-0.024593957,1,0.40261197255458847,-0.08318364083571851,"[8.093963814521072e-07, 0.9999991576243146, 7.086826132347183e-23, 3.297930387492487e-08, 5.149691432842976e-34]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+1,88,-0.14552048,-0.15470643,0,0.04592027600134834,0.004652675863308072,"[0.45793841257278, 3.1448123855099404e-06, 7.461212352729404e-13, 0.3358936397246549, 0.20616480288943348]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+1,89,0.004352061,-0.07103703,0,0.04592027600134834,0.004652675863308072,"[0.9514458824083626, 0.0001488053151495698, 4.8707978743787935e-11, 0.04525775727218013, 0.003147554955599698]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+1,90,-0.31772932,0.41427824,2,-0.09399681602352898,0.3334173716850977,"[7.08564833781896e-08, 1.5897944191070508e-31, 0.9999969244166157, 3.4570802954802753e-23, 3.0047269011291436e-06]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+1,91,-0.118134014,0.26676714,2,-0.09399681602352898,0.3334173716850977,"[0.002711713876994497, 3.5838605515922544e-17, 0.9882559526268964, 1.0411608362180484e-12, 0.009032333495068172]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+1,92,-0.19037005,0.30377576,2,-0.09399681602352898,0.3334173716850977,"[6.573092556070265e-05, 1.1935295145865115e-21, 0.9984328190596045, 9.465417420060055e-16, 0.0015014500148337734]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+1,93,-0.18803668,0.09546091,4,-0.21850191112381967,-0.004302541343377307,"[0.021280650605673163, 1.4204124879459025e-13, 0.0029688543295641107, 2.9713394697505444e-07, 0.9757501979306737]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+1,94,0.32727078,-0.11709024,1,0.40261197255458847,-0.08318364083571851,"[0.0037048616339198626, 0.9952801768622849, 1.8818125944060974e-20, 0.0010149615037950335, 1.5803896390079842e-16]","[0.016431530507796437, 0.012190357885548503]",0.18700354592339147,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+1,95,0.3095995,0.5030761,2,-0.09399681602352898,0.3334173716850977,"[0.029155801384018333, 1.2770913460913923e-11, 0.9708441986032086, 6.251903659179134e-18, 1.9500194566861426e-15]","[0.018617896761905145, 0.005354280534077541]",0.18728113727674375,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+1,96,-0.26364937,-0.38828564,3,-0.1311631712723375,-0.28463581165563745,"[0.008661501142037798, 2.1818333532394323e-06, 8.331607810400578e-26, 0.9912724777111682, 6.383931344081974e-05]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+1,97,-0.25224024,-0.31188005,3,-0.1311631712723375,-0.28463581165563745,"[0.024928977427275574, 7.867578056501439e-07, 9.166614095443392e-21, 0.9726624020724675, 0.002407833742451224]","[0.01476036871646432, 0.0071260030888920245]",0.1654539286072824,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+1,98,-0.30068702,-0.14781809,4,-0.21850191112381967,-0.004302541343377307,"[0.04518947432339692, 2.6401935629135715e-10, 1.1601356334160247e-10, 0.02975578212746277, 0.9250547431691074]","[0.004761144359449799, 0.006602778410805141]",0.21601783132946334,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+1,99,-0.09486352,0.005280091,0,0.04592027600134834,0.004652675863308072,"[0.5016294340281147, 3.360494247626654e-08, 1.6079477258197025e-06, 0.0009014394910597637, 0.49746748492815723]","[0.01464062962259357, 0.015246489875024563]",0.24424355686311905,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+2,0,0.08799766,-0.06060414,0,0.06416460631639377,0.015145813478756244,"[0.8881701377600452, 0.007392061812342354, 1.0765705261906944e-11, 0.10419012594449811, 0.0002476744723485298]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+2,1,-0.08406016,0.2851326,2,-0.09636739540443189,0.3320709647221278,"[0.00246237659284696, 2.259363797755776e-15, 0.9955517811713654, 5.735722815336125e-09, 0.0019858365000627065]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+2,2,-0.16364236,-0.11411294,4,-0.20935347267655594,-0.000529932480074861,"[0.17068927054031527, 1.1419139418234508e-06, 1.4173511114438993e-10, 0.217261900788135, 0.6120476866158728]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+2,3,0.07371062,-0.27021888,3,-0.12954866399913614,-0.26501765285515333,"[0.1377688638649481, 0.22117385515817378, 1.9298446046837924e-23, 0.6410571061532393, 1.748236387552861e-07]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+2,4,-0.1284643,0.3103237,2,-0.09636739540443189,0.3320709647221278,"[0.00021018734719473487, 5.819405069743701e-18, 0.9992604623387201, 1.9158376196471484e-10, 0.0005293501225013094]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+2,5,-0.23808402,0.26056772,2,-0.09636739540443189,0.3320709647221278,"[2.823979979552959e-05, 1.272115379048074e-19, 0.9954351604723872, 3.7247248673008906e-10, 0.004536599355344814]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+2,6,-0.10493148,-0.30384988,3,-0.12954866399913614,-0.26501765285515333,"[0.05153097800368383, 0.0007303298415682991, 1.3486135685494964e-22, 0.9476959072545066, 4.278490024119052e-05]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+2,7,-0.295713,-0.42771262,3,-0.12954866399913614,-0.26501765285515333,"[0.0037644238309774095, 5.544786118682879e-06, 1.1202342976133222e-27, 0.9962280764027758, 1.9549801280019798e-06]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+2,8,-0.3188932,-0.023905918,4,-0.20935347267655594,-0.000529932480074861,"[0.0009003656091028176, 6.981121751992841e-13, 6.77522814269347e-06, 0.0004146123140228256, 0.9986782468480335]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+2,9,0.52375084,0.03593809,1,0.3965452440744716,-0.08384307613416417,"[3.727518163909915e-05, 0.9999621521209727, 6.093559571860015e-17, 5.726973882819023e-07, 3.1863925344756653e-21]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+2,10,-0.24769914,0.06194072,4,-0.20935347267655594,-0.000529932480074861,"[0.0019169464331997546, 3.2332891447701556e-13, 0.0007372972029302228, 4.0772778381244525e-05, 0.9973049835851655]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+2,11,0.45866024,0.07679337,1,0.3965452440744716,-0.08384307613416417,"[0.0023064075872839054, 0.9976844242419768, 6.114945926007434e-13, 9.168170127813836e-06, 6.14932789963889e-17]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+2,12,-0.21952832,-0.2596673,3,-0.12954866399913614,-0.26501765285515333,"[0.037241025992044374, 5.447042368186761e-06, 9.911031546402137e-18, 0.9549702398132583, 0.007783287152328927]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+2,13,0.5387558,-0.021885695,1,0.3965452440744716,-0.08384307613416417,"[4.350864534460579e-06, 0.9999953629081472, 1.4097172802671735e-20, 2.862273184773614e-07, 4.977880199935938e-23]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+2,14,-0.31746334,-0.03755091,4,-0.20935347267655594,-0.000529932480074861,"[0.0011341840468387689, 1.7247960436342208e-12, 2.305785768740507e-06, 0.0007448575474862, 0.9981186526181816]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+2,15,0.21572201,0.15297481,0,0.06416460631639377,0.015145813478756244,"[0.9992494380884657, 0.0004816224609344884, 3.3333568862357516e-05, 0.00023461000241033534, 9.958793269546979e-07]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+2,16,-0.17784788,-0.16018736,3,-0.12954866399913614,-0.26501765285515333,"[0.1592987207522484, 3.4467898058092887e-06, 1.4042264838411073e-12, 0.5704718067718455, 0.270226025684696]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+2,17,0.12485067,-0.17534988,3,-0.12954866399913614,-0.26501765285515333,"[0.3369074558870707, 0.3196185622499296, 2.0311133574212868e-18, 0.3434731892419235, 7.926210759479387e-07]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+2,18,-0.045080878,-0.32160506,3,-0.12954866399913614,-0.26501765285515333,"[0.06251587050135264, 0.007802809748970739, 8.234275324763738e-25, 0.9296790833957711, 2.2363539054997086e-06]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+2,19,-0.29219365,-0.1354431,4,-0.20935347267655594,-0.000529932480074861,"[0.01327733388264037, 2.893373095059983e-09, 4.1406881765208476e-10, 0.07208320896331417, 0.9146394538466036]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+2,20,0.22983314,0.005944166,0,0.06416460631639377,0.015145813478756244,"[0.7967505565129958, 0.18834526365408708, 8.349539962631373e-11, 0.014904006256168969, 1.7349325305342636e-07]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+2,21,-0.2313607,0.15489271,4,-0.20935347267655594,-0.000529932480074861,"[0.002077140860577757, 5.3635215182642005e-15, 0.23915977854263026, 1.683367407457116e-06, 0.7587613972293792]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+2,22,0.44196302,-0.22339565,1,0.3965452440744716,-0.08384307613416417,"[4.337350993198081e-06, 0.9999885697820133, 1.901740380555329e-30, 7.092866993327507e-06, 9.990939380633682e-22]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+2,23,0.31953293,-0.23248373,1,0.3965452440744716,-0.08384307613416417,"[0.00031745065370985366, 0.9991424991594958, 1.3982936517070454e-27, 0.0005400501867938259, 5.39678839095856e-16]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+2,24,0.0025802255,-0.08199731,0,0.06416460631639377,0.015145813478756244,"[0.7888294655609551, 0.0005733622071190447, 2.2533133181912863e-11, 0.20136768856941176, 0.009229483639980926]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+2,25,0.023439856,-0.079839304,0,0.06416460631639377,0.015145813478756244,"[0.8129457956554932, 0.0011743024627179773, 1.3304121989642847e-11, 0.18207943824018635, 0.003800463628298428]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+2,26,-0.06371302,0.3954228,2,-0.09636739540443189,0.3320709647221278,"[0.00013397792541191837, 3.809789282794022e-19, 0.9998620356115246, 1.927396948638147e-12, 3.98646113607309e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+2,27,-0.2963673,0.015343715,4,-0.20935347267655594,-0.000529932480074861,"[0.0008876993981108061, 2.407328951877082e-13, 7.063118142843881e-05, 0.00011192285351112543, 0.9989297465667087]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+2,28,0.08612508,0.3898904,2,-0.09636739540443189,0.3320709647221278,"[0.009665839988098812, 5.810814117559722e-14, 0.9903337809727641, 1.4983592543709223e-10, 3.788892431198853e-07]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+2,29,-0.20296153,0.2345368,2,-0.09636739540443189,0.3320709647221278,"[0.0003396289310857893, 3.2214190276406225e-17, 0.9697846074552421, 1.085385873582758e-08, 0.029875752759813207]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+2,30,-0.3021013,-0.23802479,3,-0.12954866399913614,-0.26501765285515333,"[0.022947847564826138, 1.5009911459990708e-07, 6.289860573552464e-15, 0.8947260083384533, 0.0823259939975997]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+2,31,0.40233114,0.06031101,1,0.3965452440744716,-0.08384307613416417,"[0.016460409172403045, 0.9834520197451769, 3.3003744907469195e-12, 8.757107908542569e-05, 3.408673810372369e-14]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+2,32,-0.31179968,-0.050893012,4,-0.20935347267655594,-0.000529932480074861,"[0.0015774082240316946, 5.297593957438278e-12, 7.056929137763034e-07, 0.0013991165476017955, 0.9970227695301552]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+2,33,0.11298243,0.035079706,0,0.06416460631639377,0.015145813478756244,"[0.9894475342685441, 0.0007076722802693516, 5.470437371431171e-08, 0.009573897246115848, 0.00027084150069709855]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+2,34,-0.23456638,0.06657637,4,-0.20935347267655594,-0.000529932480074861,"[0.00262217501322797, 5.777425506493754e-13, 0.0008197581632636521, 4.4021297578124926e-05, 0.9965140455253524]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+2,35,0.11017645,-0.16371755,0,0.06416460631639377,0.015145813478756244,"[0.43637866140348647, 0.1819660554273742, 1.9007048483400967e-17, 0.3816520557844549, 3.227384684613297e-06]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+2,36,0.1429859,0.059452157,0,0.06416460631639377,0.015145813478756244,"[0.9944110654377953, 0.0009475475508304719, 1.7901963261985798e-07, 0.004578485051556462, 6.272294018491808e-05]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+2,37,-0.040502112,0.02318828,0,0.06416460631639377,0.015145813478756244,"[0.7157650212801115, 1.8980715541241405e-06, 2.8311303318159823e-06, 0.015315366019908482, 0.268914883498094]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+2,38,-0.06471333,0.08954511,4,-0.20935347267655594,-0.000529932480074861,"[0.3940511286013828, 2.1883352935971908e-08, 0.0008570213322843219, 0.0012644869530289103, 0.603827341229951]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+2,39,0.06407858,0.09707585,0,0.06416460631639377,0.015145813478756244,"[0.99343319765773, 7.624363896369283e-06, 4.5466190406930004e-05, 0.0016701085996000881, 0.0048436031883668336]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+2,40,-0.021407472,0.09407413,0,0.06416460631639377,0.015145813478756244,"[0.7929811437384918, 2.0611032350065398e-07, 0.0005149130650320804, 0.0018679576558434455, 0.2046357794303091]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+2,41,-0.056248758,0.025906589,0,0.06416460631639377,0.015145813478756244,"[0.568921314565029, 7.329491842778066e-07, 5.142725199460539e-06, 0.012052123197262591, 0.41902068656332464]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+2,42,-0.15132618,0.02146309,4,-0.20935347267655594,-0.000529932480074861,"[0.04137137429488077, 1.7366546883775704e-09, 1.0606269674784266e-05, 0.0016128329833337578, 0.9570051847154561]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+2,43,-0.18518934,0.0027779788,4,-0.20935347267655594,-0.000529932480074861,"[0.01775326998405469, 4.858134721709234e-10, 3.6660320724528196e-06, 0.0014452108978094233, 0.9807978526002499]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+2,44,0.5118622,-0.024860546,1,0.3965452440744716,-0.08384307613416417,"[1.2883619056222005e-05, 0.9999862999894996, 5.228291849545128e-20, 8.16391444089239e-07, 1.4456554559669337e-21]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+2,45,-0.0018669573,0.3644946,2,-0.09636739540443189,0.3320709647221278,"[0.0018532801635514219, 7.046721091672674e-16, 0.9981372152623544, 1.0248975876759554e-10, 9.504471603627644e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+2,46,-0.24925767,0.015651966,4,-0.20935347267655594,-0.000529932480074861,"[0.0026510730019921823, 3.890094086284624e-12, 2.630701464105872e-05, 0.0002315395321600986, 0.9970910804473165]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+2,47,0.2804453,-0.1894261,1,0.3965452440744716,-0.08384307613416417,"[0.0029263933209318616, 0.9942464039996853, 1.4864796730699136e-23, 0.00282720267906059, 3.221099389783081e-13]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+2,48,0.37225774,-0.11562894,1,0.3965452440744716,-0.08384307613416417,"[0.00046236615862407863, 0.9994038615221841, 1.6974044745880862e-21, 0.00013377231919126282, 6.038899063881451e-16]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+2,49,0.1460578,0.21914145,0,0.06416460631639377,0.015145813478756244,"[0.985085371603473, 1.0215494911866756e-06, 0.014853342570741274, 2.162006157914776e-05, 3.86442147154987e-05]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+2,50,0.07159563,-0.024327766,0,0.06416460631639377,0.015145813478756244,"[0.9488885130602378, 0.0012013368471842578, 8.081770633620587e-10, 0.0487869241784102, 0.0011232251059904773]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+2,51,-0.078428976,-0.18954016,3,-0.12954866399913614,-0.26501765285515333,"[0.23902587092477603, 0.0003423975930341381, 7.701408952974434e-16, 0.7554663674227953, 0.005165364059393736]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+2,52,-0.23586994,0.37846398,2,-0.09636739540443189,0.3320709647221278,"[6.797409537598867e-07, 1.7801769719875983e-24, 0.9999905338073318, 4.1886457279797016e-14, 8.786451672499288e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+2,53,-0.15925287,-0.015642455,4,-0.20935347267655594,-0.000529932480074861,"[0.04865646193556364, 7.640378269839417e-09, 6.450339768964893e-07, 0.0055776771882226316, 0.9457652082018587]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+2,54,0.38273144,-0.19184409,1,0.3965452440744716,-0.08384307613416417,"[6.544717096956129e-05, 0.9998685461552613, 1.1233835846797795e-26, 6.6006673769135e-05, 4.4508371404536634e-18]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+2,55,-0.029614072,-0.05991212,0,0.06416460631639377,0.015145813478756244,"[0.7996023694630796, 8.213878553920841e-05, 7.880140560453479e-10, 0.14110060515838035, 0.059214885804986774]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+2,56,-0.041920777,-0.1336057,0,0.06416460631639377,0.015145813478756244,"[0.5122276642754375, 0.0004326652383788781, 2.7953801513192786e-13, 0.47476955932040615, 0.012570111165497671]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+2,57,-0.05421332,-0.22073112,3,-0.12954866399913614,-0.26501765285515333,"[0.18075675756568302, 0.0014037463991435444, 3.9978302379022894e-18, 0.8173114026463785, 0.0005280933887947568]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+2,58,-0.19589648,0.09422963,4,-0.20935347267655594,-0.000529932480074861,"[0.006899674073996519, 1.7067094199767967e-12, 0.003351968275624774, 3.700109062021821e-05, 0.9897113565580518]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+2,59,0.09615892,0.18102637,0,0.06416460631639377,0.015145813478756244,"[0.9929936406786175, 6.763285843200197e-07, 0.006116087807998768, 9.238123386621338e-05, 0.0007972139509333788]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+2,60,-0.013711061,-0.07216554,0,0.06416460631639377,0.015145813478756244,"[0.8008296575141028, 0.00022837786823016518, 1.2050336869269433e-10, 0.17532906257682887, 0.02361290192033479]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+2,61,0.49365819,-0.019841706,1,0.3965452440744716,-0.08384307613416417,"[3.182421090892695e-05, 0.9999664886350949, 3.2376008237137405e-19, 1.687153996441425e-06, 1.8041994488616e-20]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+2,62,-0.096782275,0.2680031,2,-0.09636739540443189,0.3320709647221278,"[0.003340358677108283, 4.658524128927784e-15, 0.9909285534367959, 1.675967007881117e-08, 0.005731071126421099]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+2,63,-0.07022652,-0.30347943,3,-0.12954866399913614,-0.26501765285515333,"[0.0643205452621255, 0.0025279886583942407, 3.636479432324831e-23, 0.933137174114072, 1.429196540816873e-05]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+2,64,-0.08510746,-0.26066056,3,-0.12954866399913614,-0.26501765285515333,"[0.09434876115033938, 0.0008156578291874756, 4.071932521281832e-20, 0.9046184191485196, 0.00021716187195360635]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+2,65,-0.00251228,0.3769304,2,-0.09636739540443189,0.3320709647221278,"[0.0012766817980408146, 2.2073869424585598e-16, 0.9987184307282594, 3.9472003587454695e-11, 4.887434227409756e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+2,66,0.42614552,0.08994585,1,0.3965452440744716,-0.08384307613416417,"[0.015087584320665195, 0.9848754631200393, 2.4741552970948614e-11, 3.69525345482582e-05, 5.710993845161551e-15]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+2,67,0.25132486,-0.20319358,1,0.3965452440744716,-0.08384307613416417,"[0.006206021759759015, 0.9862660553468395, 1.3083594853585837e-23, 0.007527922890399047, 3.002424290390839e-12]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+2,68,-0.18157998,0.03947093,4,-0.20935347267655594,-0.000529932480074861,"[0.013917101324751149, 8.278108194640658e-11, 5.572558892459954e-05, 0.00038295059319044805, 0.9856442224103529]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+2,69,-0.12251995,-0.049827244,4,-0.20935347267655594,-0.000529932480074861,"[0.2201930630522636, 5.308293046432494e-07, 2.4544138823207938e-08, 0.048984569445015065, 0.7308218121292779]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+2,70,-0.18423451,0.25213403,2,-0.09636739540443189,0.3320709647221278,"[0.0003076625815189531, 2.3289616489822097e-17, 0.9872567112328301, 4.337738327078117e-09, 0.012435621847912444]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+2,71,-0.04843812,0.4040603,2,-0.09636739540443189,0.3320709647221278,"[0.00017374832256483985, 5.949192875775509e-19, 0.9998240632325298, 1.5862555975861462e-12, 2.188443319026816e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+2,72,0.25011468,-0.18353273,1,0.3965452440744716,-0.08384307613416417,"[0.009825207243066757, 0.9812594492230995, 2.838444659948694e-22, 0.008915343524120396, 9.713295288684171e-12]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+2,73,0.24778247,-0.18444899,1,0.3965452440744716,-0.08384307613416417,"[0.010460308141147732, 0.9798889614482025, 2.8949602235924943e-22, 0.009650730398959192, 1.1690815746667423e-11]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+2,74,-0.17648138,-0.41862112,3,-0.12954866399913614,-0.26501765285515333,"[0.012261012640773722, 0.0002964697415582891, 2.8462893531199104e-29, 0.9874420893464368, 4.282712311571878e-07]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+2,75,-0.16704087,-0.3598848,3,-0.12954866399913614,-0.26501765285515333,"[0.019480196623884057, 0.00017581371774313896, 2.6660621897620874e-25, 0.9803334197536517, 1.0569904721184197e-05]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+2,76,0.61073065,0.018717432,1,0.3965452440744716,-0.08384307613416417,"[4.847899082014725e-07, 0.9999994978503578, 2.9994589517608565e-20, 1.7359734121666263e-08, 1.405175572022703e-26]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+2,77,-0.07488669,0.3827278,2,-0.09636739540443189,0.3320709647221278,"[0.00012937915225438528, 4.834475137336001e-19, 0.9998621582074517, 3.529108228735172e-12, 8.462636764674075e-06]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+2,78,0.022653038,0.24370801,2,-0.09636739540443189,0.3320709647221278,"[0.33050553194075294, 3.6886392119419516e-10, 0.6639816464644208, 3.2129715717935003e-06, 0.00550960825439054]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+2,79,0.24368975,0.18879418,0,0.06416460631639377,0.015145813478756244,"[0.999381797952803, 0.0003629971239658803, 0.0001860632230178966, 6.899841371905057e-05, 1.43286494042613e-07]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+2,80,-0.16938657,-0.05973538,4,-0.20935347267655594,-0.000529932480074861,"[0.06772955973929795, 4.5755344356183554e-08, 2.0518523442784197e-08, 0.025648254324839567, 0.9066221196619946]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+2,81,-0.25151917,-0.28693447,3,-0.12954866399913614,-0.26501765285515333,"[0.020056221967176772, 2.5930383169330026e-06, 6.682612846881701e-19, 0.9766210665006138, 0.003320118493892435]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+2,82,0.04577409,-0.24324691,3,-0.12954866399913614,-0.26501765285515333,"[0.19619196345823664, 0.0691680845756178, 3.473265991590308e-21, 0.7346371002186562, 2.851747489215527e-06]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+2,83,-0.22563006,-0.049784996,4,-0.20935347267655594,-0.000529932480074861,"[0.011811554317769911, 7.371541442821568e-10, 1.1141458320579569e-07, 0.005146391611164084, 0.9830419419193285]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+2,84,-0.20074943,0.040258985,4,-0.20935347267655594,-0.000529932480074861,"[0.007866963829250593, 2.1942113301917523e-11, 7.461139108550749e-05, 0.00023839269567265469, 0.9918200320620493]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+2,85,-0.1496939,0.30529067,2,-0.09636739540443189,0.3320709647221278,"[0.00012199027293279541, 1.760146138045214e-18, 0.9991874536077521, 1.5110291801315596e-10, 0.0006905559682120711]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+2,86,0.2630342,0.051892787,0,0.06416460631639377,0.015145813478756244,"[0.8342360898759776, 0.16121630049753738, 2.445866515295105e-09, 0.004547573993119882, 3.31874985716226e-08]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+2,87,0.61719507,-0.024593957,1,0.3965452440744716,-0.08384307613416417,"[1.3422225514093857e-07, 0.9999998522727689, 7.522759755265688e-23, 1.3504975864208768e-08, 1.192437124008087e-27]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+2,88,-0.14552048,-0.15470643,3,-0.12954866399913614,-0.26501765285515333,"[0.2342400069202141, 1.2100028303047813e-05, 9.138390373293144e-13, 0.602985463998266, 0.1627624290523031]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+2,89,0.004352061,-0.07103703,0,0.06416460631639377,0.015145813478756244,"[0.8251880898457892, 0.0004375035486956427, 7.021443278812945e-11, 0.16327804072581295, 0.011096365809487656]","[0.012904257588068188, 0.01712706838507262]",0.20860695137736496,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+2,90,-0.31772932,0.41427824,2,-0.09636739540443189,0.3320709647221278,"[1.7470968575627154e-08, 8.734755702355675e-29, 0.9999994757277413, 2.8311013222115833e-16, 5.068012896175822e-07]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+2,91,-0.118134014,0.26676714,2,-0.09636739540443189,0.3320709647221278,"[0.001703790301349646, 9.89401569968591e-16, 0.9918601045544365, 9.748856786248838e-09, 0.006436095395356106]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+2,92,-0.19037005,0.30377576,2,-0.09636739540443189,0.3320709647221278,"[3.065013290433098e-05, 7.871875042315794e-20, 0.9993372375838827, 4.862217659024027e-11, 0.000632112234590914]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+2,93,-0.18803668,0.09546091,4,-0.20935347267655594,-0.000529932480074861,"[0.00866944587688491, 2.7410284330945156e-12, 0.00334798566665877, 4.2597923654250034e-05, 0.9879399705300611]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+2,94,0.32727078,-0.11709024,1,0.3965452440744716,-0.08384307613416417,"[0.0025610760670852512, 0.9967036399763073, 2.759180036895346e-20, 0.0007352839565222036, 8.539820015591335e-14]","[0.01765043800968463, 0.012313801858227605]",0.1920289039113429,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+2,95,0.3095995,0.5030761,2,-0.09636739540443189,0.3320709647221278,"[0.09508496329521089, 7.21906884060091e-11, 0.9049150366246552, 7.813969174556056e-12, 1.2915726860325982e-13]","[0.01796571502691698, 0.0053231441004923325]",0.1872390794362503,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+2,96,-0.26364937,-0.38828564,3,-0.12954866399913614,-0.26501765285515333,"[0.00664689929186086, 8.894910824786031e-06, 1.6957393791983863e-25, 0.9933307065577066, 1.3499239607681594e-05]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+2,97,-0.25224024,-0.31188005,3,-0.12954866399913614,-0.26501765285515333,"[0.014894880659644068, 3.829949525782644e-06, 1.6187155405914848e-20, 0.9842315912254066, 0.0008696981654235526]","[0.014253825563804952, 0.009739711369101263]",0.18532994738361072,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+2,98,-0.30068702,-0.14781809,4,-0.20935347267655594,-0.000529932480074861,"[0.014621797394065885, 3.927280645239552e-09, 1.7579209987885298e-10, 0.11067232519055942, 0.874705873312302]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+2,99,-0.09486352,0.005280091,4,-0.20935347267655594,-0.000529932480074861,"[0.2691402598375237, 1.8975890298422421e-07, 1.7449902140737002e-06, 0.012190525935401264, 0.7186672794779578]","[0.005806676354195702, 0.005901518148298464]",0.22679511789143106,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+3,0,0.08799766,-0.06060414,0,0.06424707811349922,-0.010531989839880426,"[0.9715484284144559, 0.0026013331176117636, 1.0443785654313281e-11, 0.025587585144336025, 0.0002626533131524598]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+3,1,-0.08406016,0.2851326,2,-0.09756174176246091,0.3315038065244718,"[0.004548623868420178, 4.500829247165493e-17, 0.9940544407231345, 1.0791113418313145e-08, 0.0013969246173316818]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+3,2,-0.16364236,-0.11411294,4,-0.20782917179182095,0.0014387222347446277,"[0.16522406900917866, 1.1784046454188168e-07, 1.8091533019848577e-10, 0.2650957729321526, 0.5696800400372888]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+3,3,0.07371062,-0.27021888,0,0.06424707811349922,-0.010531989839880426,"[0.5540547756706123, 0.16512628604105653, 2.869078633820828e-23, 0.28081882302789213, 1.1526043901383049e-07]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+3,4,-0.1284643,0.3103237,2,-0.09756174176246091,0.3315038065244718,"[0.0005095010573924571, 6.115314244364621e-20, 0.9991714411878863, 5.595376155859921e-10, 0.00031905719518354227]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+3,5,-0.23808402,0.26056772,2,-0.09756174176246091,0.3315038065244718,"[6.893350102058811e-05, 5.46039197744135e-22, 0.9969869948273695, 1.7578394458840217e-09, 0.0029440699137705255]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+3,6,-0.10493148,-0.30384988,3,-0.15754262445286776,-0.27458739670972204,"[0.11652074101150575, 0.0002481888063976525, 2.0298914094436368e-22, 0.8832106371523653, 2.0433029731106532e-05]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+3,7,-0.295713,-0.42771262,3,-0.15754262445286776,-0.27458739670972204,"[0.007777066976696999, 8.95939520638976e-07, 1.969778331139795e-27, 0.9922215288158774, 5.082679049591896e-07]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+3,8,-0.3188932,-0.023905918,4,-0.20782917179182095,0.0014387222347446277,"[0.00074871826664632, 9.43241446136876e-15, 7.681109631317387e-06, 0.0008375510832832327, 0.9984060495404298]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+3,9,0.52375084,0.03593809,1,0.4047695836386393,-0.0824818227172337,"[7.326732677587693e-05, 0.9999267321334593, 4.965791296598374e-17, 5.397649437089583e-10, 1.3666573281987454e-20]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+3,10,-0.24769914,0.06194072,4,-0.20782917179182095,0.0014387222347446277,"[0.0019328178822457134, 5.304976464064945e-15, 0.0008095793065375161, 9.456990603564325e-05, 0.9971630329051757]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+3,11,0.45866024,0.07679337,1,0.4047695836386393,-0.0824818227172337,"[0.003353419288490825, 0.9966465570224328, 5.46416930865532e-13, 2.3688529698442742e-08, 2.319963788366804e-16]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+3,12,-0.21952832,-0.2596673,3,-0.15754262445286776,-0.27458739670972204,"[0.039721553495539574, 6.319559226411514e-07, 1.2453609555178713e-17, 0.956279214254968, 0.003998600293569959]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+3,13,0.5387558,-0.021885695,1,0.4047695836386393,-0.0824818227172337,"[1.345190856093186e-05, 0.9999865478281601, 1.175417545984968e-20, 2.6327887279727185e-10, 2.0391109203096774e-22]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+3,14,-0.31746334,-0.03755091,4,-0.20782917179182095,0.0014387222347446277,"[0.0009269955893381912, 2.6132619774193665e-14, 2.6586174599417543e-06, 0.0014476869445920679, 0.9976226588485837]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+3,15,0.21572201,0.15297481,0,0.06424707811349922,-0.010531989839880426,"[0.9997474700562877, 0.00019807209939348827, 3.45662407615691e-05, 1.802588378655297e-05, 1.8657197706548311e-06]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+3,16,-0.17784788,-0.16018736,3,-0.15754262445286776,-0.27458739670972204,"[0.15271465716610208, 3.720532748703037e-07, 1.7376613896122336e-12, 0.6377003995713947, 0.2095845712074907]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+3,17,0.12485067,-0.17534988,0,0.06424707811349922,-0.010531989839880426,"[0.7330050578488061, 0.1923208616582887, 2.2547985426972052e-18, 0.07467339193791842, 6.885549866721186e-07]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+3,18,-0.045080878,-0.32160506,3,-0.15754262445286776,-0.27458739670972204,"[0.2165902382410717, 0.004078945648268737, 1.3361088548260414e-24, 0.7793297630244664, 1.0530861932048667e-06]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+3,19,-0.29219365,-0.1354431,4,-0.20782917179182095,0.0014387222347446277,"[0.011496657772004948, 1.1556557393114665e-10, 5.688517075044706e-10, 0.11515105114935575, 0.873352290394222]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+3,20,0.22983314,0.005944166,0,0.06424707811349922,-0.010531989839880426,"[0.8966876010307098, 0.10244441965604908, 7.412828584361577e-11, 0.0008677116992384849, 2.675398743520763e-07]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+3,21,-0.2313607,0.15489271,4,-0.20782917179182095,0.0014387222347446277,"[0.003084708744160771, 5.961739056191591e-17, 0.2711250843840596, 5.4659092939467975e-06, 0.7257847409624856]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+3,22,0.44196302,-0.22339565,1,0.4047695836386393,-0.0824818227172337,"[5.580710659305055e-05, 0.9999441261882436, 1.966001002206042e-30, 6.670516338440323e-08, 1.444066451765362e-21]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+3,23,0.31953293,-0.23248373,1,0.4047695836386393,-0.0824818227172337,"[0.0023885106674247873, 0.9975890954840138, 1.5294395139565538e-27, 2.239384856105481e-05, 5.3550326864206295e-16]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+3,24,0.0025802255,-0.08199731,0,0.06424707811349922,-0.010531989839880426,"[0.8853857184222425, 0.0001531713440767954, 2.5612223691279332e-11, 0.10494869835719906, 0.009512411850869403]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+3,25,0.023439856,-0.079839304,0,0.06424707811349922,-0.010531989839880426,"[0.9155852733944438, 0.00034161023218550244, 1.4591115588054193e-11, 0.0801643189614268, 0.0039087973973526485]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+3,26,-0.06371302,0.3954228,2,-0.09756174176246091,0.3315038065244718,"[0.0004614819850606218, 4.4664327243240315e-21, 0.9995367035972839, 4.556799878353306e-12, 1.8144130984625217e-06]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+3,27,-0.2963673,0.015343715,4,-0.20782917179182095,0.0014387222347446277,"[0.000800430371701634, 3.171084223686763e-15, 7.814720788241362e-05, 0.00024840267992218507, 0.9988730197404907]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+3,28,0.08612508,0.3898904,2,-0.09756174176246091,0.3315038065244718,"[0.019419535232385945, 3.100764338372388e-15, 0.9805802171585448, 7.05327371662652e-11, 2.4753853340751785e-07]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+3,29,-0.20296153,0.2345368,2,-0.09756174176246091,0.3315038065244718,"[0.0006439113339536239, 2.530459390173495e-19, 0.977690600472945, 3.799652935840037e-08, 0.02166545019657215]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+3,30,-0.3021013,-0.23802479,3,-0.15754262445286776,-0.27458739670972204,"[0.018092396920364157, 7.881977595617187e-09, 7.636636366671074e-15, 0.9344189435611695, 0.047488651636481166]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+3,31,0.40233114,0.06031101,1,0.4047695836386393,-0.0824818227172337,"[0.02491644955344819, 0.9750829501404171, 3.267095711390189e-12, 6.003027558020909e-07, 1.1168265022099398e-13]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+3,32,-0.31179968,-0.050893012,4,-0.20782917179182095,0.0014387222347446277,"[0.001279341308512437, 9.412485133941198e-14, 8.310825655940648e-07, 0.002621002410347843, 0.9960988251984801]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+3,33,0.11298243,0.035079706,0,0.06424707811349922,-0.010531989839880426,"[0.9972984317835001, 0.00023277329829547787, 5.6464573544933746e-08, 0.002088250031294428, 0.0003804884223366036]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+3,34,-0.23456638,0.06657637,4,-0.20782917179182095,0.0014387222347446277,"[0.0026530766595769923, 1.0543624880700657e-14, 0.0008983937919402569, 9.915529533079944e-05, 0.9963493742531412]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+3,35,0.11017645,-0.16371755,0,0.06424707811349922,-0.010531989839880426,"[0.8149446854054475, 0.09699659848438598, 2.021347393167096e-17, 0.0880559624413695, 2.7536687969786346e-06]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+3,36,0.1429859,0.059452157,0,0.06424707811349922,-0.010531989839880426,"[0.9988131752587486, 0.00034064126632603813, 1.8309205731800002e-07, 0.0007506201583555041, 9.53802245125168e-05]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+3,37,-0.040502112,0.02318828,0,0.06424707811349922,-0.010531989839880426,"[0.6769641957154445, 2.514490190897798e-07, 3.1565363189535605e-06, 0.011819882823631424, 0.31121251347558593]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+3,38,-0.06471333,0.08954511,4,-0.20782917179182095,0.0014387222347446277,"[0.3626088339198052, 1.6169119486316666e-09, 0.0008748371714432614, 0.0011985897425328214, 0.6353177375493068]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+3,39,0.06407858,0.09707585,0,0.06424707811349922,-0.010531989839880426,"[0.9926084975435718, 1.5673122963466187e-06, 4.9665204711064994e-05, 0.0006319438014886191, 0.0067083261379320145]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+3,40,-0.021407472,0.09407413,0,0.06424707811349922,-0.010531989839880426,"[0.7604444375793826, 2.2123062220687637e-08, 0.0005471440920292662, 0.0013732393991213476, 0.23763515680640454]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+3,41,-0.056248758,0.025906589,0,0.06424707811349922,-0.010531989839880426,"[0.5226471972857129, 8.326628985455477e-08, 5.6170673702892075e-06, 0.010118640680309411, 0.4672284617003176]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+3,42,-0.15132618,0.02146309,4,-0.20782917179182095,0.0014387222347446277,"[0.03599746564236687, 8.93215266446921e-11, 1.1404244707644532e-05, 0.0022015864552579097, 0.9617895435683461]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+3,43,-0.18518934,0.0027779788,4,-0.20782917179182095,0.0014387222347446277,"[0.015355424694381243, 2.082118752646836e-11, 4.058745057497177e-06, 0.0022199719960291895, 0.9824205445437109]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+3,44,0.5118622,-0.024860546,1,0.4047695836386393,-0.0824818227172337,"[3.700075619512428e-05, 0.9999629980766174, 4.399067716879092e-20, 1.1671875302464286e-09, 5.2742310937400324e-21]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+3,45,-0.0018669573,0.3644946,2,-0.09756174176246091,0.3315038065244718,"[0.004238440405478118, 1.9286311841487488e-17, 0.995755879956361, 1.1888511994619812e-10, 5.679519275715504e-06]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+3,46,-0.24925767,0.015651966,4,-0.20782917179182095,0.0014387222347446277,"[0.002362449553954891, 8.380097577633626e-14, 2.9207974165244294e-05, 0.00046028834931201307, 0.997148054122484]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+3,47,0.2804453,-0.1894261,1,0.4047695836386393,-0.0824818227172337,"[0.013613574812307032, 0.9862220421448421, 1.698244233117417e-23, 0.00016438304247181997, 3.790169368374354e-13]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+3,48,0.37225774,-0.11562894,1,0.4047695836386393,-0.0824818227172337,"[0.001658765112262976, 0.9983392100026898, 1.6726008548059357e-21, 2.0248850461398172e-06, 1.1194591157943853e-15]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+3,49,0.1460578,0.21914145,0,0.06424707811349922,-0.010531989839880426,"[0.9853103416650588, 2.0433972707516838e-07, 0.014633782447896669, 3.709828758916542e-06, 5.196171855836851e-05]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+3,50,0.07159563,-0.024327766,0,0.06424707811349922,-0.010531989839880426,"[0.9836127423375638, 0.00037043779110242965, 8.324115459588309e-10, 0.014685983177138396, 0.001330835861783819]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+3,51,-0.078428976,-0.18954016,3,-0.15754262445286776,-0.27458739670972204,"[0.3471354273928223, 9.17385537147547e-05, 1.0551363969810568e-15, 0.6486804651947079, 0.004092368858753935]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+3,52,-0.23586994,0.37846398,2,-0.09756174176246091,0.3315038065244718,"[4.077535830884939e-06, 3.0796286271579405e-27, 0.9999924764042072, 3.510635088658198e-13, 3.4460596109162116e-06]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+3,53,-0.15925287,-0.015642455,4,-0.20782917179182095,0.0014387222347446277,"[0.04204192557811869, 4.594061190125601e-10, 7.230281470434985e-07, 0.007438631295007234, 0.950518719639321]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+3,54,0.38273144,-0.19184409,1,0.4047695836386393,-0.0824818227172337,"[0.00044957429662353753, 0.9995493090905069, 1.1327973599649384e-26, 1.1166128695563306e-06, 6.142839774115198e-18]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+3,55,-0.029614072,-0.05991212,0,0.06424707811349922,-0.010531989839880426,"[0.8413459461902179, 1.7081000254475644e-05, 9.251644165791043e-10, 0.094581492810956, 0.06405547907340733]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+3,56,-0.041920777,-0.1336057,0,0.06424707811349922,-0.010531989839880426,"[0.6502330026286735, 0.00011402765477960545, 3.5369483664461623e-13, 0.3379266084612229, 0.011726361254970287]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+3,57,-0.05421332,-0.22073112,3,-0.15754262445286776,-0.27458739670972204,"[0.3365824778432611, 0.0005072944430936564, 5.848974004530687e-18, 0.6625164118135926, 0.0003938159000527032]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+3,58,-0.19589648,0.09422963,4,-0.20782917179182095,0.0014387222347446277,"[0.007368447256537867, 3.8946333659450733e-14, 0.0036547023749689887, 7.848813392133844e-05, 0.988898362234533]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+3,59,0.09615892,0.18102637,0,0.06424707811349922,-0.010531989839880426,"[0.9927400134268634, 1.1490319812670384e-07, 0.006198973354499426, 2.662082076742712e-05, 0.0010342774946716046]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+3,60,-0.013711061,-0.07216554,0,0.06424707811349922,-0.010531989839880426,"[0.8710504487671247, 5.432021141714783e-05, 1.39608627177932e-10, 0.10395599134687256, 0.024939239534977085]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+3,61,0.49365819,-0.019841706,1,0.4047695836386393,-0.0824818227172337,"[8.318205328009704e-05, 0.9999168147874918, 2.744599478830273e-19, 3.159227991271975e-09, 6.228354898887533e-20]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+3,62,-0.096782275,0.2680031,2,-0.09756174176246091,0.3315038065244718,"[0.005818890346623792, 9.099601237594967e-17, 0.9899940609848876, 3.283728311864456e-08, 0.004187015831205356]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+3,63,-0.07022652,-0.30347943,3,-0.15754262445286776,-0.27458739670972204,"[0.17501033967333007, 0.001086018531578065, 5.709956112739689e-23, 0.8238964274751884, 7.214319903266898e-06]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+3,64,-0.08510746,-0.26066056,3,-0.15754262445286776,-0.27458739670972204,"[0.1879316275242005, 0.00027676662298158907, 6.05668773546906e-20, 0.8116595556972941, 0.0001320501555238802]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+3,65,-0.00251228,0.3769304,2,-0.09756174176246091,0.3315038065244718,"[0.003151080835860822, 5.545698811434239e-18, 0.9968461639990911, 4.797446388314281e-11, 2.7551170735963676e-06]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+3,66,0.42614552,0.08994585,1,0.4047695836386393,-0.0824818227172337,"[0.02080394546657478, 0.9791958905553952, 2.3827443979946277e-11, 1.6395418208960562e-07, 2.0582418433913486e-14]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+3,67,0.25132486,-0.20319358,1,0.4047695836386393,-0.0824818227172337,"[0.029241111172233374, 0.9701305703030096, 1.5709380377843307e-23, 0.0006283185215394848, 3.2173467315697786e-12]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+3,68,-0.18157998,0.03947093,4,-0.20782917179182095,0.0014387222347446277,"[0.01256391262329048, 2.9395434385596436e-12, 6.011398943005427e-05, 0.0006309544777133185, 0.9867450189066265]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+3,69,-0.12251995,-0.049827244,4,-0.20782917179182095,0.0014387222347446277,"[0.20235007818868092, 5.327263799076361e-08, 2.8819559120245344e-08, 0.053978426673800976, 0.743671413045321]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+3,70,-0.18423451,0.25213403,2,-0.09756174176246091,0.3315038065244718,"[0.0006136935697373028, 1.9869975834624754e-19, 0.9907299089236705, 1.460915444626005e-08, 0.008656382897437826]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+3,71,-0.04843812,0.4040603,2,-0.09756174176246091,0.3315038065244718,"[0.0006010037952120888, 7.741499598229475e-21, 0.9993980154656974, 3.3514149891849352e-12, 9.807357388365617e-07]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+3,72,0.25011468,-0.18353273,1,0.4047695836386393,-0.0824818227172337,"[0.04033993829485361, 0.9589333070535917, 3.415199872872532e-22, 0.0007267546400813724, 1.1473213653206749e-11]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+3,73,0.24778247,-0.18444899,1,0.4047695836386393,-0.0824818227172337,"[0.04293298005659663, 0.9562581610251377, 3.4964516155883163e-22, 0.000808858904543991, 1.3721578025993136e-11]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+3,74,-0.17648138,-0.41862112,3,-0.15754262445286776,-0.27458739670972204,"[0.03776828457429284, 8.860411082334835e-05, 4.4021992156232156e-29, 0.9621430154455637, 9.586931998510037e-08]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+3,75,-0.16704087,-0.3598848,3,-0.15754262445286776,-0.27458739670972204,"[0.04369102658326468, 4.659178271591918e-05, 3.9525592095901024e-25, 0.9562589120173535, 3.469616666121935e-06]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+3,76,0.61073065,0.018717432,1,0.4047695836386393,-0.0824818227172337,"[1.4402816251125145e-06, 0.9999985597143625, 2.4391195742619137e-20, 4.0123526107364734e-12, 8.710538894167078e-26]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+3,77,-0.07488669,0.3827278,2,-0.09756174176246091,0.3315038065244718,"[0.0004246310729297866, 5.489983056453771e-21, 0.9995713452841828, 8.80292490506449e-12, 4.02363408458256e-06]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+3,78,0.022653038,0.24370801,2,-0.09756174176246091,0.3315038065244718,"[0.37984274046234867, 2.377571123047137e-11, 0.6152305871196606, 1.9558984571204413e-06, 0.004924716495757971]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+3,79,0.24368975,0.18879418,0,0.06424707811349922,-0.010531989839880426,"[0.9996471797579501, 0.00015572854073834158, 0.00019303643528975842, 3.7721209354566144e-06, 2.831450863924526e-07]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+3,80,-0.16938657,-0.05973538,4,-0.20782917179182095,0.0014387222347446277,"[0.06058422624131105, 3.3347357793816157e-09, 2.4668870875169753e-08, 0.03408390260166007, 0.9053318431534224]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+3,81,-0.25151917,-0.28693447,3,-0.15754262445286776,-0.27458739670972204,"[0.021591239159444255, 2.6974953390528286e-07, 8.704422576112e-19, 0.9768553844618663, 0.0015531066291555363]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+3,82,0.04577409,-0.24324691,0,0.06424707811349922,-0.010531989839880426,"[0.5897629860233415, 0.04369758017571073, 5.087780480051057e-21, 0.36653735083511363, 2.0829658341300515e-06]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+3,83,-0.22563006,-0.049784996,4,-0.20782917179182095,0.0014387222347446277,"[0.010094559017150277, 3.077892949776133e-11, 1.3302856846075674e-07, 0.008310252995567896, 0.9815950549279344]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+3,84,-0.20074943,0.040258985,4,-0.20782917179182095,0.0014387222347446277,"[0.007200327850317924, 6.502165712791681e-13, 8.10857512124621e-05, 0.0004286408868540623, 0.9922899455109653]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+3,85,-0.1496939,0.30529067,2,-0.09756174176246091,0.3315038065244718,"[0.00030553723237562513, 1.5141566617063966e-20, 0.9992812858134419, 5.047668929540751e-10, 0.00041317644941548125]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+3,86,0.2630342,0.051892787,0,0.06424707811349922,-0.010531989839880426,"[0.9049245023246221, 0.09489445941341441, 2.240682219184142e-09, 0.00018097405910800043, 6.196217335887093e-08]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+3,87,0.61719507,-0.024593957,1,0.4047695836386393,-0.0824818227172337,"[6.039491606566953e-07, 0.9999993960473037, 6.484140035665212e-23, 3.5357081564332076e-12, 7.202656362718314e-27]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+3,88,-0.14552048,-0.15470643,3,-0.15754262445286776,-0.27458739670972204,"[0.2410744782307115, 1.6531532477454993e-06, 1.1417859719014447e-12, 0.628118179409655, 0.1308056892052441]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+3,89,0.004352061,-0.07103703,0,0.06424707811349922,-0.010531989839880426,"[0.9037619662032781, 0.00011345421647380141, 7.929058038643269e-11, 0.08440627284763749, 0.011718306653320125]","[0.012507893888733275, 0.020993339561298993]",0.24101009226576836,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+3,90,-0.31772932,0.41427824,2,-0.09756174176246091,0.3315038065244718,"[2.1649036400779403e-07, 3.6458964964760254e-32, 0.9999996296593763, 4.6533034689450345e-15, 1.5385025505793458e-07]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+3,91,-0.118134014,0.26676714,2,-0.09756174176246091,0.3315038065244718,"[0.003110297892057982, 1.5626334327752127e-17, 0.9922988857068731, 2.2334576636119445e-08, 0.00459079406649247]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+3,92,-0.19037005,0.30377576,2,-0.09756174176246091,0.3315038065244718,"[8.640569846944161e-05, 4.295679833929107e-22, 0.9995496690989757, 2.1219440165678548e-10, 0.0003639249903605009]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+3,93,-0.18803668,0.09546091,4,-0.20782917179182095,0.0014387222347446277,"[0.00919918900849636, 6.695284497100583e-14, 0.0036371498002826254, 8.726816688618902e-05, 0.9870763930242679]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+3,94,0.32727078,-0.11709024,1,0.4047695836386393,-0.0824818227172337,"[0.00829024991911873, 0.9916892858649579, 2.9201093844536554e-20, 2.046421577665381e-05, 1.466746265696637e-13]","[0.016085080419131634, 0.012246207953017759]",0.18521536717731285,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+3,95,0.3095995,0.5030761,2,-0.09756174176246091,0.3315038065244718,"[0.15943356801920666, 1.1979772010779869e-11, 0.8405664319685454, 1.7565339808592202e-13, 9.263110074759286e-14]","[0.01781759048224023, 0.005368401719956655]",0.1871405884305889,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+3,96,-0.26364937,-0.38828564,3,-0.15754262445286776,-0.27458739670972204,"[0.01182849916292994, 1.4311377368865814e-06, 2.6633692847504833e-25, 0.9881660069545469, 4.062744786213223e-06]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+3,97,-0.25224024,-0.31188005,3,-0.15754262445286776,-0.27458739670972204,"[0.018046255767697226, 4.5389746436366986e-07, 2.2094607459719938e-20, 0.9815831185862631, 0.0003701717485752238]","[0.01070519464384802, 0.00918874437220547]",0.16222690658047886,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+3,98,-0.30068702,-0.14781809,4,-0.20782917179182095,0.0014387222347446277,"[0.012578199726448906, 1.5550032268885714e-10, 2.4361003445414424e-10, 0.17239902038336616, 0.8150227794910745]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+3,99,-0.09486352,0.005280091,4,-0.20782917179182095,0.0014387222347446277,"[0.2375538836032225, 1.7251696220656927e-08, 1.8942078800305122e-06, 0.012199817342672488, 0.7502443875945289]","[0.005983344919043205, 0.005486799171021812]",0.22440704554585097,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+4,0,0.08799766,-0.06060414,0,0.03540969834964841,0.014433900922561742,"[0.8528656012116412, 0.0030830744102173808, 2.9237423545097405e-11, 0.1440485685029598, 2.755845944117377e-06]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+4,1,-0.08406016,0.2851326,2,-0.09305589277997829,0.3321079419566604,"[0.0014236765683900154, 2.963170733292754e-17, 0.9970404781808943, 1.5591093533906377e-10, 0.0015358450948044823]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+4,2,-0.16364236,-0.11411294,0,0.03540969834964841,0.014433900922561742,"[0.4862652003256604, 9.623797011183956e-08, 3.1821107311170653e-10, 0.14338784629234025, 0.37034685682581814]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+4,3,0.07371062,-0.27021888,3,-0.11151072469142234,-0.26545137332798735,"[0.017303849698992294, 0.11386406288347872, 9.000675666030012e-23, 0.8688320870377956, 3.7973345212092956e-10]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+4,4,-0.1284643,0.3103237,2,-0.09305589277997829,0.3321079419566604,"[0.0001134894808775128, 3.8390025313024464e-20, 0.9993399682264605, 2.939719439055898e-12, 0.0005465422897221336]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+4,5,-0.23808402,0.26056772,2,-0.09305589277997829,0.3321079419566604,"[4.74151276692285e-05, 3.174150573608721e-22, 0.9951245961500834, 6.207336261343429e-12, 0.004827988716040253]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+4,6,-0.10493148,-0.30384988,3,-0.11151072469142234,-0.26545137332798735,"[0.016477180849620868, 0.0001993624419720767, 6.341049137785144e-22, 0.9833187402478609, 4.716460546263369e-06]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+4,7,-0.295713,-0.42771262,3,-0.11151072469142234,-0.26545137332798735,"[0.0021290155472389635, 7.151614184431666e-07, 8.18291739831932e-27, 0.9978691022141188, 1.1670772239582266e-06]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+4,8,-0.3188932,-0.023905918,4,-0.22395180066953493,0.001735864936139136,"[0.013212737693285438, 6.182893706651389e-15, 9.718838825466285e-06, 0.00010316753005264641, 0.9866743759378304]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+4,9,0.52375084,0.03593809,1,0.4053444721989165,-0.08263556956380372,"[0.00015688279399211566, 0.9998328868798358, 2.4558494494059363e-16, 1.0230326171887551e-05, 3.1171519110824877e-30]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+4,10,-0.24769914,0.06194072,4,-0.22395180066953493,0.001735864936139136,"[0.010917117599472854, 3.114540820865124e-15, 0.0008145687794478873, 5.283803206489287e-06, 0.9882630298178697]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+4,11,0.45866024,0.07679337,1,0.4053444721989165,-0.08263556956380372,"[0.007416809961368905, 0.9924981812083488, 1.9567782972365268e-12, 8.500882832551134e-05, 3.1356810040751418e-24]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+4,12,-0.21952832,-0.2596673,3,-0.11151072469142234,-0.26545137332798735,"[0.0664655359108118, 6.104403258028055e-07, 3.6680371025643657e-17, 0.9287352732051669, 0.0047985804436953714]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+4,13,0.5387558,-0.021885695,1,0.4053444721989165,-0.08263556956380372,"[1.492154887078711e-05, 0.9999784450951958, 7.460473303421459e-20, 6.633355933184566e-06, 8.975907033503517e-33]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+4,14,-0.31746334,-0.03755091,4,-0.22395180066953493,0.001735864936139136,"[0.016163450446825284, 1.6983681697280374e-14, 3.3802927864252054e-06, 0.00020368965042783595, 0.9836294796099436]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+4,15,0.21572201,0.15297481,0,0.03540969834964841,0.014433900922561742,"[0.9996174842836404, 0.0001563705139771412, 5.041226683927493e-05, 0.0001757314948553008, 1.4406879236477116e-09]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+4,16,-0.17784788,-0.16018736,3,-0.11151072469142234,-0.26545137332798735,"[0.40070866397477256, 3.2657681959943506e-07, 3.6273155995778837e-12, 0.439846282285591, 0.1594447271591895]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+4,17,0.12485067,-0.17534988,3,-0.11151072469142234,-0.26545137332798735,"[0.12090064645337144, 0.2006931379081869, 8.329797049212649e-18, 0.6784062145216995, 1.1167421211624073e-09]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+4,18,-0.045080878,-0.32160506,3,-0.11151072469142234,-0.26545137332798735,"[0.009134276142566001, 0.00294041961052778, 4.3509268869801156e-24, 0.9879252377775153, 6.646939097917707e-08]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+4,19,-0.29219365,-0.1354431,4,-0.22395180066953493,0.001735864936139136,"[0.10783101333493512, 7.028867971105435e-11, 7.740051628416918e-10, 0.03605054371257321, 0.8561184421081979]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+4,20,0.22983314,0.005944166,0,0.03540969834964841,0.014433900922561742,"[0.849229462161634, 0.11792801940543662, 2.154223814522335e-10, 0.032842518169561546, 4.794574147611858e-11]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+4,21,-0.2313607,0.15489271,4,-0.22395180066953493,0.001735864936139136,"[0.0068566146848841655, 3.081881156352451e-17, 0.2301947682152496, 9.131056926963326e-08, 0.762948525789297]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+4,22,0.44196302,-0.22339565,1,0.4053444721989165,-0.08263556956380372,"[1.103612646651763e-06, 0.9999249009540851, 2.0618331048481032e-29, 7.399543326804264e-05, 1.5578558763551908e-30]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+4,23,0.31953293,-0.23248373,1,0.4053444721989165,-0.08263556956380372,"[5.039686923603606e-05, 0.9973623849736825, 1.1065276449342537e-26, 0.0025872181570816273, 2.739350040022564e-22]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+4,24,0.0025802255,-0.08199731,0,0.03540969834964841,0.014433900922561742,"[0.8163513317007373, 0.00013651620615024143, 5.120645627821013e-11, 0.18297153902796068, 0.0005406130139452475]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+4,25,0.023439856,-0.079839304,0,0.03540969834964841,0.014433900922561742,"[0.8126221132808293, 0.0003314863134920946, 3.232319983486897e-11, 0.18689276379711456, 0.0001536365762408509]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+4,26,-0.06371302,0.3954228,2,-0.09305589277997829,0.3321079419566604,"[2.0501824472162616e-05, 2.7257221083085434e-21, 0.9999762897298055, 1.3326205610054285e-14, 3.208445709017214e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+4,27,-0.2963673,0.015343715,4,-0.22395180066953493,0.001735864936139136,"[0.009453018859470315, 1.9767024231094742e-15, 8.926228492520019e-05, 2.0283362593177226e-05, 0.9904374354930093]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+4,28,0.08612508,0.3898904,2,-0.09305589277997829,0.3321079419566604,"[0.0014088918426801514, 2.0516171034609447e-15, 0.9985910581865854, 3.328652007053601e-12, 4.996740368705417e-08]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+4,29,-0.20296153,0.2345368,2,-0.09305589277997829,0.3321079419566604,"[0.0005625569601779249, 1.5361538842582905e-19, 0.9660411083187691, 2.915245786161075e-10, 0.0333963344295285]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+4,30,-0.3021013,-0.23802479,3,-0.11151072469142234,-0.26545137332798735,"[0.13145587950910823, 7.243619237988112e-09, 1.9730680125214098e-14, 0.7878267105074053, 0.08071740273984752]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+4,31,0.40233114,0.06031101,1,0.4053444721989165,-0.08263556956380372,"[0.03794477584497853, 0.9614874901117105, 1.0402785806267152e-11, 0.0005677340329079516, 2.035446058470503e-20]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+4,32,-0.31179968,-0.050893012,4,-0.22395180066953493,0.001735864936139136,"[0.020483440908262252, 6.010260290168916e-14, 1.050596183258303e-06, 0.0004170439536811247, 0.9790984645418133]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+4,33,0.11298243,0.035079706,0,0.03540969834964841,0.014433900922561742,"[0.9919303895278268, 0.00019754364304979324, 9.446324995090001e-08, 0.007869298328627605, 2.674037245700041e-06]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+4,34,-0.23456638,0.06657637,4,-0.22395180066953493,0.001735864936139136,"[0.01317288362413758, 6.264026496260423e-15, 0.0009046818383638743, 5.713266585130321e-06, 0.9859167212709072]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+4,35,0.11017645,-0.16371755,3,-0.11151072469142234,-0.26545137332798735,"[0.18398949733032796, 0.10641987813314076, 7.341754273525223e-17, 0.709590616639853, 7.896678207255502e-09]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+4,36,0.1429859,0.059452157,0,0.03540969834964841,0.014433900922561742,"[0.9958218950712838, 0.0002867796380267293, 3.013467615050001e-07, 0.0038906852659332325, 3.386779947984459e-07]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+4,37,-0.040502112,0.02318828,0,0.03540969834964841,0.014433900922561742,"[0.9481668806847093, 1.6167348261543632e-07, 3.5759463860152807e-06, 0.005299535040080956, 0.04652984665534099]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+4,38,-0.06471333,0.08954511,0,0.03540969834964841,0.014433900922561742,"[0.743108421110964, 1.4135550226002838e-09, 0.001228236244033652, 0.00032273226702774036, 0.2553406089644197]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+4,39,0.06407858,0.09707585,0,0.03540969834964841,0.014433900922561742,"[0.9990849422703857, 1.105232487769403e-06, 5.934633658676819e-05, 0.0006461632464320094, 0.00020844291410775047]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+4,40,-0.021407472,0.09407413,0,0.03540969834964841,0.014433900922561742,"[0.9608966956017599, 1.4734600107993591e-08, 0.0005895046924904376, 0.0004414971055656476, 0.03807228786558375]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+4,41,-0.056248758,0.025906589,0,0.03540969834964841,0.014433900922561742,"[0.894593166202373, 5.940950524929005e-08, 6.981550968851344e-06, 0.004201893397258319, 0.10119789943989455]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+4,42,-0.15132618,0.02146309,4,-0.22395180066953493,0.001735864936139136,"[0.15596220463464996, 8.235454966983233e-11, 1.8097810048374016e-05, 0.0005387246806299718, 0.843480972792317]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+4,43,-0.18518934,0.0027779788,4,-0.22395180066953493,0.001735864936139136,"[0.07759396627060892, 1.6572327292380678e-11, 5.707009331266596e-06, 0.00044230919257670686, 0.9219580175109108]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+4,44,0.5118622,-0.024860546,1,0.4053444721989165,-0.08263556956380372,"[3.492361925027581e-05, 0.999950216759063, 2.572084038714067e-19, 1.4859621686929892e-05, 1.0690467667160788e-30]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+4,45,-0.0018669573,0.3644946,2,-0.09305589277997829,0.3321079419566604,"[0.00037672616690704024, 1.2590230952136058e-17, 0.9996191780814375, 1.6876247336604596e-12, 4.095749967777934e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+4,46,-0.24925767,0.015651966,4,-0.22395180066953493,0.001735864936139136,"[0.016966044802946473, 5.224948658148238e-14, 3.2396226905545236e-05, 4.505086653704735e-05, 0.9829565081035587]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+4,47,0.2804453,-0.1894261,1,0.4053444721989165,-0.08263556956380372,"[0.0007933086783935726, 0.9871164568117173, 9.141229584592147e-23, 0.012090234509889112, 1.5794621380108177e-18]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+4,48,0.37225774,-0.11562894,1,0.4053444721989165,-0.08263556956380372,"[0.0002991283166373211, 0.9987617965879538, 8.771968479765636e-21, 0.0009390750954087835, 1.3205704493359493e-22]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+4,49,0.1460578,0.21914145,0,0.03540969834964841,0.014433900922561742,"[0.9741414927586403, 2.266433702546931e-07, 0.02584960813055069, 7.81450902772102e-06, 8.579584109672353e-07]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+4,50,0.07159563,-0.024327766,0,0.03540969834964841,0.014433900922561742,"[0.95323432183038, 0.00034790106998247187, 1.658151746934118e-09, 0.04639663125311332, 2.114418837226266e-05]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+4,51,-0.078428976,-0.18954016,3,-0.11151072469142234,-0.26545137332798735,"[0.21294608613980465, 7.821707473982558e-05, 2.4763735056049264e-15, 0.7862221806147088, 0.000753516170744174]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+4,52,-0.23586994,0.37846398,2,-0.09305589277997829,0.3321079419566604,"[2.659376908738135e-07, 1.5717914817499502e-27, 0.9999917351568274, 1.2763825327851498e-16, 7.998905481599751e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+4,53,-0.15925287,-0.015642455,4,-0.22395180066953493,0.001735864936139136,"[0.19236616655438354, 4.2054831857800185e-10, 1.196760383256573e-06, 0.0023530509345826662, 0.8052795853301021]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+4,54,0.38273144,-0.19184409,1,0.4053444721989165,-0.08263556956380372,"[1.932117603877692e-05, 0.9995053233362603, 8.3757629992692e-26, 0.00047535548770090994, 2.0720722941364866e-25]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+4,55,-0.029614072,-0.05991212,0,0.03540969834964841,0.014433900922561742,"[0.9062697947331112, 1.2181325583609876e-05, 1.365589042131524e-09, 0.08760171170525698, 0.006116310870459291]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+4,56,-0.041920777,-0.1336057,0,0.03540969834964841,0.014433900922561742,"[0.531711044867712, 9.984463694825548e-05, 7.564993424129606e-13, 0.4668615907361474, 0.0013275197584357832]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+4,57,-0.05421332,-0.22073112,3,-0.11151072469142234,-0.26545137332798735,"[0.09713941066979331, 0.0003976072592954521, 1.4254558478699268e-17, 0.902423228283062, 3.975378784918859e-05]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+4,58,-0.19589648,0.09422963,4,-0.22395180066953493,0.001735864936139136,"[0.02435224020130498, 2.4447459199710374e-14, 0.0037457672845952624, 4.454089123481541e-06, 0.971897538424952]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+4,59,0.09615892,0.18102637,0,0.03540969834964841,0.014433900922561742,"[0.9907666102293452, 1.0744602159447699e-07, 0.009167408284348564, 2.8594094494656743e-05, 3.7279945790018e-05]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+4,60,-0.013711061,-0.07216554,0,0.03540969834964841,0.014433900922561742,"[0.865454241015452, 4.329892836552199e-05, 2.4001845122477235e-10, 0.13264639032697934, 0.001856069489184752]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+4,61,0.49365819,-0.019841706,1,0.4053444721989165,-0.08263556956380372,"[7.822630060548342e-05, 0.999895754123991, 1.483420048202449e-18, 2.601957540343075e-05, 3.768218697311686e-29]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+4,62,-0.096782275,0.2680031,2,-0.09305589277997829,0.3321079419566604,"[0.0023653395561158497, 5.990208756032125e-17, 0.9929604081979886, 5.204758795811639e-10, 0.00467425172541959]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+4,63,-0.07022652,-0.30347943,3,-0.11151072469142234,-0.26545137332798735,"[0.01484313560348586, 0.0008116141139270559, 1.7329560985668576e-22, 0.9843444333188447, 8.16963742321763e-07]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+4,64,-0.08510746,-0.26066056,3,-0.11151072469142234,-0.26545137332798735,"[0.04198070949468283, 0.0002166803539583005, 1.621964886151893e-19, 0.9577805747645664, 2.203538679253409e-05]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+4,65,-0.00251228,0.3769304,2,-0.09305589277997829,0.3321079419566604,"[0.00022338294547919743, 3.581316477437421e-18, 0.9997744233206917, 5.451342212454328e-13, 2.1937332839479323e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+4,66,0.42614552,0.08994585,1,0.4053444721989165,-0.08263556956380372,"[0.04231450222853745, 0.9574303910705185, 7.411151432469292e-11, 0.0002551066268325762, 1.6702122109388019e-21]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+4,67,0.25132486,-0.20319358,1,0.4053444721989165,-0.08263556956380372,"[0.0014692736786282678, 0.9702979530629846, 8.25562080310723e-23, 0.028232773258387116, 4.133196026755348e-17]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+4,68,-0.18157998,0.03947093,4,-0.22395180066953493,0.001735864936139136,"[0.056021518140647625, 2.2409049507769265e-12, 7.766289181880335e-05, 8.693061124005051e-05, 0.9438138883540527]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+4,69,-0.12251995,-0.049827244,0,0.03540969834964841,0.014433900922561742,"[0.5933977868710371, 4.692020711095259e-08, 4.8837480611131006e-08, 0.027151412876289062, 0.37945070449498614]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+4,70,-0.18423451,0.25213403,2,-0.09305589277997829,0.3321079419566604,"[0.0003910223889489102, 1.2257541732558163e-19, 0.9856594802988107, 1.0341275295133388e-10, 0.013949497208827391]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+4,71,-0.04843812,0.4040603,2,-0.09305589277997829,0.3321079419566604,"[2.283157915546939e-05, 4.7319779722270756e-21, 0.9999755715340707, 1.0699746750063777e-14, 1.59688676320118e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+4,72,0.25011468,-0.18353273,1,0.4053444721989165,-0.08263556956380372,"[0.002943043344272255, 0.9629867966703772, 1.6615624735979246e-21, 0.03407015998535021, 1.7951369123299217e-16]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+4,73,0.24778247,-0.18444899,1,0.4053444721989165,-0.08263556956380372,"[0.003110199854209833, 0.9603684482570413, 1.6970410536606683e-21, 0.036521351888748645, 2.345698729605272e-16]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+4,74,-0.17648138,-0.41862112,3,-0.11151072469142234,-0.26545137332798735,"[0.0018563943535816088, 8.874589275115064e-05, 2.4688467506745845e-28, 0.9980547737775745, 8.597609256401038e-08]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+4,75,-0.16704087,-0.3598848,3,-0.11151072469142234,-0.26545137332798735,"[0.005856073867272209, 4.209472433668435e-05, 1.5954675816149296e-24, 0.9940994989385624, 2.3324698287643913e-06]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+4,76,0.61073065,0.018717432,1,0.4053444721989165,-0.08263556956380372,"[4.280494815207649e-06, 0.9999949454008019, 1.7349707719856584e-19, 7.741043828175231e-07, 8.115441125877869e-38]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+4,77,-0.07488669,0.3827278,2,-0.09305589277997829,0.3321079419566604,"[2.418467784422178e-05, 3.3685030310730993e-21, 0.9999685997880517, 2.73473382164788e-14, 7.215534076797433e-06]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+4,78,0.022653038,0.24370801,2,-0.09305589277997829,0.3321079419566604,"[0.2225021168521947, 2.020816290104222e-11, 0.776272096409546, 2.968088976839367e-07, 0.0012254899091534302]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+4,79,0.24368975,0.18879418,0,0.03540969834964841,0.014433900922561742,"[0.9995454868214059, 0.0001237858437699931, 0.00028076553269042355, 4.996167994756796e-05, 1.2218614751301206e-10]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+4,80,-0.16938657,-0.05973538,4,-0.22395180066953493,0.001735864936139136,"[0.2624558376947698, 2.896694867681216e-09, 4.1515783380971504e-08, 0.013473520676718457, 0.7240705972160334]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+4,81,-0.25151917,-0.28693447,3,-0.11151072469142234,-0.26545137332798735,"[0.038782136261740624, 2.5102115126744253e-07, 2.6422960906726622e-18, 0.9588877078968406, 0.002329904820267498]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+4,82,0.04577409,-0.24324691,3,-0.11151072469142234,-0.26545137332798735,"[0.03918922357500033, 0.030258312222937064, 1.372321890435455e-20, 0.9305524473636942, 1.683836828893913e-08]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+4,83,-0.22563006,-0.049784996,4,-0.22395180066953493,0.001735864936139136,"[0.06476875497351639, 2.154537655378956e-11, 1.7787347822670647e-07, 0.0018620508812073528, 0.9333690162502525]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+4,84,-0.20074943,0.040258985,4,-0.22395180066953493,0.001735864936139136,"[0.034360896276111, 4.51758880193246e-13, 9.594177959258861e-05, 4.712981119010438e-05, 0.9654960321326544]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+4,85,-0.1496939,0.30529067,2,-0.09305589277997829,0.3321079419566604,"[7.671898148386883e-05, 9.364668132294178e-21, 0.9991654936727183, 2.2003330780314105e-12, 0.000757787343597433]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+4,86,0.2630342,0.051892787,0,0.03540969834964841,0.014433900922561742,"[0.9043817304141594, 0.08696693101124121, 4.94767890802531e-09, 0.008651333623030824, 3.889727227343328e-12]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+4,87,0.61719507,-0.024593957,1,0.4053444721989165,-0.08263556956380372,"[9.868338786504212e-07, 0.9999983047922121, 5.564337010276933e-22, 7.083739092715962e-07, 2.357120238122563e-39]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+4,88,-0.14552048,-0.15470643,3,-0.11151072469142234,-0.26545137332798735,"[0.4506017573119636, 1.4318651032904615e-06, 2.355930290528217e-12, 0.47977492314473086, 0.06962188767584615]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+4,89,0.004352061,-0.07103703,0,0.03540969834964841,0.014433900922561742,"[0.8611335122967432, 9.745017840476688e-05, 1.4911695346313873e-10, 0.13812047879067313, 0.0006485585850620186]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+4,90,-0.31772932,0.41427824,2,-0.09305589277997829,0.3321079419566604,"[6.495458653404156e-09, 1.501825701305835e-32, 0.999999791185862, 2.928553667208369e-19, 2.0231867928563216e-07]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+4,91,-0.118134014,0.26676714,2,-0.09305589277997829,0.3321079419566604,"[0.0013393624132133227, 1.0137078633830586e-17, 0.9926958756296962, 2.7351284977193136e-10, 0.005964761683577465]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+4,92,-0.19037005,0.30377576,2,-0.09305589277997829,0.3321079419566604,"[2.429404286825691e-05, 2.5523456476012193e-22, 0.9992557499000684, 5.799779560071188e-13, 0.0007199560564833011]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+4,93,-0.18803668,0.09546091,4,-0.22395180066953493,0.001735864936139136,"[0.029344324465792094, 4.331804966730316e-14, 0.003825404257415033, 5.330131133702502e-06, 0.9668249411456159]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+4,94,0.32727078,-0.11709024,1,0.4053444721989165,-0.08263556956380372,"[0.0015143784292728018, 0.9944340591905692, 1.3563297738908797e-19, 0.00405156238015796, 1.4188072370885738e-19]","[0.015873939496395848, 0.01212153865264238]",0.18458468089349292,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+4,95,0.3095995,0.5030761,2,-0.09305589277997829,0.3321079419566604,"[0.006953947932559051, 7.836472844357434e-12, 0.9930460520593337, 2.7082453266095287e-13, 1.5816830500637508e-16]","[0.018758953909708158, 0.005503138660508686]",0.1901804688113724,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+4,96,-0.26364937,-0.38828564,3,-0.11151072469142234,-0.26545137332798735,"[0.0042742346784622205, 1.2213664358141939e-06, 1.0392331157227113e-24, 0.9957172288281398, 7.315126962220181e-06]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+4,97,-0.25224024,-0.31188005,3,-0.11151072469142234,-0.26545137332798735,"[0.02181397045031035, 4.083523029119754e-07, 7.011404530938188e-20, 0.9776265178239067, 0.0005591033734800647]","[0.01685061411332374, 0.009038605707132968]",0.19454597371203433,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+4,98,-0.30068702,-0.14781809,4,-0.22395180066953493,0.001735864936139136,"[0.12467688706770812, 9.50142444776455e-11, 3.416578368787478e-10, 0.05858550016165793, 0.8167376123339619]","[0.004356315034084873, 0.0058261532468214805]",0.19540128792965328,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+4,99,-0.09486352,0.005280091,0,0.03540969834964841,0.014433900922561742,"[0.6609734801875284, 1.576882577967449e-08, 3.067806686657954e-06, 0.005314752454231667, 0.33370868378272756]","[0.01756078903975236, 0.012594834546802082]",0.23528758865344707,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+5,0,0.08799766,-0.06060414,0,0.046218503789983885,0.004953785986959865,"[0.9489496670368213, 0.00556954628943185, 2.5454026071545938e-11, 0.045341673265947985, 0.00013911338234487013]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+5,1,-0.08406016,0.2851326,2,-0.09354076594739029,0.33204128402332034,"[0.0009077692248581963, 7.273800994735487e-16, 0.9965058074074137, 9.738734147963813e-14, 0.0025864233676299517]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+5,2,-0.16364236,-0.11411294,4,-0.21275706367934288,-0.0031904620518618575,"[0.3225513503280762, 4.3702490818671184e-07, 2.632910245128399e-10, 0.04945807246108383, 0.6279901399226406]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+5,3,0.07371062,-0.27021888,3,-0.12286635144929052,-0.2829108388789275,"[0.046264125465655115, 0.13811003352370546, 7.435291613781795e-23, 0.8156257090580263, 1.3195261307562812e-07]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+5,4,-0.1284643,0.3103237,2,-0.09354076594739029,0.33204128402332034,"[5.8157647114181893e-05, 1.5821411437287645e-18, 0.9991064009174165, 7.961530835266717e-16, 0.0008354414354682552]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+5,5,-0.23808402,0.26056772,2,-0.09354076594739029,0.33204128402332034,"[1.0244051670656859e-05, 2.397215313163422e-20, 0.9933655965093229, 3.4981976986853025e-15, 0.006624159439002853]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+5,6,-0.10493148,-0.30384988,3,-0.12286635144929052,-0.2829108388789275,"[0.0423418668702068, 0.00036569113861611, 5.001776601713997e-22, 0.9572255991014478, 6.684288972912105e-05]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+5,7,-0.295713,-0.42771262,3,-0.12286635144929052,-0.2829108388789275,"[0.00683393948718768, 2.0318838808962336e-06, 6.195601751736563e-27, 0.9931570274306016, 7.001198329584394e-06]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+5,8,-0.3188932,-0.023905918,4,-0.21275706367934288,-0.0031904620518618575,"[0.002432524578302704, 1.4476867892299477e-13, 9.505556685046896e-06, 1.0563891623333758e-05, 0.9975474059732441]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+5,9,0.52375084,0.03593809,1,0.4007888716927687,-0.08240049330680303,"[3.5110478332878854e-05, 0.999962572786286, 2.2468724180679707e-16, 2.3167353808909836e-06, 9.603052638692236e-23]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+5,10,-0.24769914,0.06194072,4,-0.21275706367934288,-0.0031904620518618575,"[0.002934846755503228, 7.696226644935728e-14, 0.0008874823625213888, 1.9399803222274555e-07, 0.9961774768838662]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+5,11,0.45866024,0.07679337,1,0.4007888716927687,-0.08240049330680303,"[0.0025869204898794, 0.997402284099022, 1.7175689073687871e-12, 1.0795409381156098e-05, 3.2796751001412715e-18]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+5,12,-0.21952832,-0.2596673,3,-0.12286635144929052,-0.2829108388789275,"[0.08866306161827243, 2.405302127684747e-06, 3.334073386029925e-17, 0.8969018294698425, 0.014432703609757298]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+5,13,0.5387558,-0.021885695,1,0.4007888716927687,-0.08240049330680303,"[2.8408802071161274e-06, 0.9999946877817689, 6.709516347521414e-20, 2.4713380240407607e-06, 1.3554946078658176e-24]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+5,14,-0.31746334,-0.03755091,4,-0.21275706367934288,-0.0031904620518618575,"[0.0031895192776291415, 3.6323736050542426e-13, 3.2991504881942696e-06, 2.524793570322809e-05, 0.9967819336358161]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+5,15,0.21572201,0.15297481,0,0.046218503789983885,0.004953785986959865,"[0.9995863585373789, 0.00035945449364069244, 4.906513303951638e-05, 4.830673365492367e-06, 2.911625754049563e-07]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+5,16,-0.17784788,-0.16018736,0,0.046218503789983885,0.004953785986959865,"[0.3715932323098711, 1.5802556922840984e-06, 3.5346023903727414e-12, 0.260333754006941, 0.3680714334239611]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+5,17,0.12485067,-0.17534988,3,-0.12286635144929052,-0.2829108388789275,"[0.20896974761570986, 0.2695814408763977, 7.547247495637344e-18, 0.5214483429348669, 4.685730255515082e-07]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+5,18,-0.045080878,-0.32160506,3,-0.12286635144929052,-0.2829108388789275,"[0.03069081363594216, 0.004282480028090055, 3.433436838483459e-24, 0.9650235368169465, 3.1695190212496157e-06]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+5,19,-0.29219365,-0.1354431,4,-0.21275706367934288,-0.0031904620518618575,"[0.039050572276527494, 6.866248492921077e-10, 6.871691172763452e-10, 0.013346718034397456, 0.947602708315281]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+5,20,0.22983314,0.005944166,0,0.046218503789983885,0.004953785986959865,"[0.8164296933034264, 0.17645502492421272, 2.0701484055947492e-10, 0.00711523283845985, 4.8726886088300895e-08]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+5,21,-0.2313607,0.15489271,4,-0.21275706367934288,-0.0031904620518618575,"[0.00162666857911457, 1.0888394549485328e-15, 0.23207188123867414, 5.775331244309145e-10, 0.766301449604677]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+5,22,0.44196302,-0.22339565,1,0.4007888716927687,-0.08240049330680303,"[5.752451040092103e-07, 0.9999434124870346, 1.703020030793511e-29, 5.6012267861445235e-05, 9.440129620954533e-23]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+5,23,0.31953293,-0.23248373,1,0.4007888716927687,-0.08240049330680303,"[6.095749107341335e-05, 0.9976917041793119, 9.695560312122383e-27, 0.002247338329614543, 1.2845659872009681e-16]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+5,24,0.0025802255,-0.08199731,0,0.046218503789983885,0.004953785986959865,"[0.9271916490863059, 0.0003401970709920251, 4.6898243782519775e-11, 0.06584871760669637, 0.006619436189107451]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+5,25,0.023439856,-0.079839304,0,0.046218503789983885,0.004953785986959865,"[0.9301657476035676, 0.00074747248958557, 2.9000316068409635e-11, 0.06647195307137589, 0.002614826806470675]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+5,26,-0.06371302,0.3954228,2,-0.09354076594739029,0.33204128402332034,"[1.938412572759394e-05, 1.1642286372058903e-19, 0.9999726476553977, 4.99748968379888e-19, 7.968218874724398e-06]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+5,27,-0.2963673,0.015343715,4,-0.21275706367934288,-0.0031904620518618575,"[0.001904462784520637, 5.1582552776995674e-14, 9.240139605905221e-05, 1.3048911593012062e-06, 0.9980018309282094]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+5,28,0.08612508,0.3898904,2,-0.09354076594739029,0.33204128402332034,"[0.002417813560259029, 2.7253357871097915e-14, 0.9975817495454304, 3.1342539697123505e-16, 4.368942832013621e-07]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+5,29,-0.20296153,0.2345368,2,-0.09354076594739029,0.33204128402332034,"[0.00015803530082789702, 7.100467541558003e-18, 0.9610705725890931, 3.5774531942251913e-13, 0.03877139210972144]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+5,30,-0.3021013,-0.23802479,3,-0.12286635144929052,-0.2829108388789275,"[0.10251469942037691, 5.588405721634893e-08, 2.0470252817852464e-14, 0.7381197726310329, 0.15936547206451246]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+5,31,0.40233114,0.06031101,1,0.4007888716927687,-0.08240049330680303,"[0.017305108670103705, 0.9826174138602972, 8.850681748347897e-12, 7.74774607456677e-05, 2.867261106263428e-15]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+5,32,-0.31179968,-0.050893012,4,-0.21275706367934288,-0.0031904620518618575,"[0.0045079354565860045, 1.1456485232171922e-12, 1.0272451612601733e-06, 6.27245480745857e-05, 0.9954283127490325]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+5,33,0.11298243,0.035079706,0,0.046218503789983885,0.004953785986959865,"[0.9984743533191894, 0.0004591527279521284, 8.918180886573951e-08, 0.0009521069013682442, 0.00011429786968160467]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+5,34,-0.23456638,0.06657637,4,-0.21275706367934288,-0.0031904620518618575,"[0.0038488562624724772, 1.4361135951265992e-13, 0.0009841939787660608, 2.0163139216142286e-07, 0.9951667481272257]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+5,35,0.11017645,-0.16371755,3,-0.12286635144929052,-0.2829108388789275,"[0.31602975283244783, 0.15594350117624467, 6.875627345472182e-17, 0.528024686358846, 2.0596324614724907e-06]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+5,36,0.1429859,0.059452157,0,0.046218503789983885,0.004953785986959865,"[0.9989616700410752, 0.0006469906818752636, 2.88787749568845e-07, 0.0003674749199543368, 2.357556934563596e-05]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+5,37,-0.040502112,0.02318828,0,0.046218503789983885,0.004953785986959865,"[0.8198150587593295, 8.231828494955943e-07, 3.7605835434359972e-06, 0.000597484366560383, 0.17958287310771748]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+5,38,-0.06471333,0.08954511,4,-0.21275706367934288,-0.0031904620518618575,"[0.4726112509314282, 9.93775550951501e-09, 0.0011622285631975723, 1.1215589345300479e-05, 0.5262152949782735]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+5,39,0.06407858,0.09707585,0,0.046218503789983885,0.004953785986959865,"[0.9973010997453697, 4.32429650150407e-06, 6.14724180708721e-05, 3.1163559475519034e-05, 0.002601939980582392]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+5,40,-0.021407472,0.09407413,0,0.046218503789983885,0.004953785986959865,"[0.8502000126852035, 9.768058605512225e-08, 0.0006654775250548269, 1.9237436918534195e-05, 0.1491151746722371]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+5,41,-0.056248758,0.025906589,0,0.046218503789983885,0.004953785986959865,"[0.6951317161639295, 3.181222444341379e-07, 7.005588395473365e-06, 0.00041939692860656, 0.30444156319682386]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+5,42,-0.15132618,0.02146309,4,-0.21275706367934288,-0.0031904620518618575,"[0.0673446011967665, 6.446131200536801e-10, 1.5304427045865343e-05, 3.8179174855928946e-05, 0.9326019145567186]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+5,43,-0.18518934,0.0027779788,4,-0.21275706367934288,-0.0031904620518618575,"[0.03178806680564422, 1.608076738954709e-10, 5.251696033999822e-06, 4.0968883135797515e-05, 0.9681657124543782]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+5,44,0.5118622,-0.024860546,1,0.4007888716927687,-0.08240049330680303,"[8.309573030379872e-06, 0.9999860718374936, 2.3394029019950216e-19, 5.618589475964303e-06, 4.98265342377519e-23]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+5,45,-0.0018669573,0.3644946,2,-0.09354076594739029,0.33204128402332034,"[0.0004348059109278686, 2.7014216978865277e-16, 0.9995514802294112, 2.0420276059644116e-16, 1.3713859660500587e-05]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+5,46,-0.24925767,0.015651966,4,-0.21275706367934288,-0.0031904620518618575,"[0.005090899590146675, 9.904593910417922e-13, 3.476918430620109e-05, 3.409632609064823e-06, 0.9948709215919476]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+5,47,0.2804453,-0.1894261,1,0.4007888716927687,-0.08240049330680303,"[0.0009508369852118422, 0.9894053929560593, 7.93103062247831e-23, 0.009643770058641048, 8.756784705081848e-14]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+5,48,0.37225774,-0.11562894,1,0.4007888716927687,-0.08240049330680303,"[0.00019382046634974562, 0.9992241918063969, 7.891960980027909e-21, 0.0005819877272534142, 7.248189689260596e-17]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+5,49,0.1460578,0.21914145,0,0.046218503789983885,0.004953785986959865,"[0.9773451821174702, 8.069678557448447e-07, 0.022630761359900903, 4.602518742781164e-08, 2.3203529585955944e-05]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+5,50,0.07159563,-0.024327766,0,0.046218503789983885,0.004953785986959865,"[0.9885361629084969, 0.0007614823887861402, 1.4911240564935702e-09, 0.010123366175259678, 0.0005789870363331213]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+5,51,-0.078428976,-0.18954016,3,-0.12286635144929052,-0.2829108388789275,"[0.35370892979471985, 0.0002181836105789917, 2.4694376465996058e-15, 0.6393211382890247, 0.0067517483056739325]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+5,52,-0.23586994,0.37846398,2,-0.09354076594739029,0.33204128402332034,"[6.93217870683104e-08, 2.829921287176616e-25, 0.9999795206947957, 3.0603432132349267e-21, 2.0409983417358232e-05]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+5,53,-0.15925287,-0.015642455,4,-0.21275706367934288,-0.0031904620518618575,"[0.08610817558377538, 2.80801346526973e-09, 9.783897427009768e-07, 0.0002650657817215848, 0.913625777436747]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+5,54,0.38273144,-0.19184409,1,0.4007888716927687,-0.08240049330680303,"[1.432024352202058e-05, 0.9996041370446855, 7.407177755732967e-26, 0.00038154271179246006, 5.937115526394548e-19]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+5,55,-0.029614072,-0.05991212,0,0.046218503789983885,0.004953785986959865,"[0.9341813847462993, 3.960701536229937e-05, 1.3184556205707107e-09, 0.025414578157557013, 0.040364428762325655]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+5,56,-0.041920777,-0.1336057,0,0.046218503789983885,0.004953785986959865,"[0.722487464855807, 0.00027597073100097666, 7.421852370725568e-13, 0.2645280050874047, 0.01270855932504541]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+5,57,-0.05421332,-0.22073112,3,-0.12286635144929052,-0.2829108388789275,"[0.190558043136414, 0.0008586484000446438, 1.315499589624099e-17, 0.8079481123941115, 0.0006351960694300077]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+5,58,-0.19589648,0.09422963,4,-0.21275706367934288,-0.0031904620518618575,"[0.008397557030127477, 4.704539644128777e-13, 0.0039038300787818583, 1.0517445212113455e-07, 0.9876985077161681]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+5,59,0.09615892,0.18102637,0,0.046218503789983885,0.004953785986959865,"[0.9906025640502784, 4.666929305170495e-07, 0.008879277383609739, 3.3021118415725807e-07, 0.0005173616619972905]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+5,60,-0.013711061,-0.07216554,0,0.046218503789983885,0.004953785986959865,"[0.9399088201212326, 0.00012221129956692915, 2.251372159898943e-10, 0.0434329945078379, 0.016535973846225453]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+5,61,0.49365819,-0.019841706,1,0.4007888716927687,-0.08240049330680303,"[2.1409146478720576e-05, 0.9999692073911062, 1.3565092029070766e-18, 9.383462415123797e-06, 7.230234501435678e-22]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+5,62,-0.096782275,0.2680031,2,-0.09354076594739029,0.33204128402332034,"[0.0013693837446036824, 1.4577780950454502e-15, 0.9914410674125967, 4.635447355284357e-13, 0.007189548842334551]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+5,63,-0.07022652,-0.30347943,3,-0.12286635144929052,-0.2829108388789275,"[0.041725502088541026, 0.0013263396642339731, 1.3727364061590584e-22, 0.9569279455660844, 2.0212681140682488e-05]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+5,64,-0.08510746,-0.26066056,3,-0.12286635144929052,-0.2829108388789275,"[0.09040216612935763, 0.00043960693541834694, 1.3786467376384596e-19, 0.9088649792844522, 0.0002932476507717149]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+5,65,-0.00251228,0.3769304,2,-0.09354076594739029,0.33204128402332034,"[0.0002681462899108758, 8.339396964860362e-17, 0.999724366934585, 4.697905018782084e-17, 7.486775504134455e-06]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+5,66,0.42614552,0.08994585,1,0.4007888716927687,-0.08240049330680303,"[0.01756384514922946, 0.9824108399973951, 6.324357070878563e-11, 2.5314790131479334e-05, 4.0277415305104525e-16]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+5,67,0.25132486,-0.20319358,1,0.4007888716927687,-0.08240049330680303,"[0.0020383148047927874, 0.9748875030658448, 7.040147737682435e-23, 0.023074182128340465, 1.021897323455092e-12]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+5,68,-0.18157998,0.03947093,4,-0.21275706367934288,-0.0031904620518618575,"[0.022073808295259907, 2.673870061645121e-11, 7.47921653611403e-05, 4.933407851809386e-06, 0.9778464661047884]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+5,69,-0.12251995,-0.049827244,4,-0.21275706367934288,-0.0031904620518618575,"[0.35120313412965304, 2.1213320996208557e-07, 3.9074407541961674e-08, 0.004944685141406516, 0.643851929521323]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+5,70,-0.18423451,0.25213403,2,-0.09354076594739029,0.33204128402332034,"[0.00012733910302681342, 5.4514214646249614e-18, 0.9829365621802861, 9.122227901767772e-14, 0.01693609871659599]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+5,71,-0.04843812,0.4040603,2,-0.09354076594739029,0.33204128402332034,"[2.4194715081712555e-05, 1.8889222465621027e-19, 0.9999714242235358, 3.4004918202161065e-19, 4.381061382425863e-06]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+5,72,0.25011468,-0.18353273,1,0.4007888716927687,-0.08240049330680303,"[0.0037638661439153053, 0.9701972285064305, 1.4075475713014354e-21, 0.026038905346492072, 3.1619629966693497e-12]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+5,73,0.24778247,-0.18444899,1,0.4007888716927687,-0.08240049330680303,"[0.004016841718373442, 0.9680288702506725, 1.435384623987273e-21, 0.027954288027083905, 3.870200190252765e-12]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+5,74,-0.17648138,-0.41862112,3,-0.12286635144929052,-0.2829108388789275,"[0.010334477821223771, 0.000170045773502246, 2.0006504265365e-28, 0.9894938654290101, 1.610976263953744e-06]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+5,75,-0.16704087,-0.3598848,3,-0.12286635144929052,-0.2829108388789275,"[0.01841877446092766, 8.223810034648386e-05, 1.205546930704458e-24, 0.9814748593502948, 2.4128088431069677e-05]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+5,76,0.61073065,0.018717432,1,0.4007888716927687,-0.08240049330680303,"[4.3104157782244123e-07, 0.9999993556723487, 1.5105798586703486e-19, 2.1328607350052188e-07, 1.940529749024658e-28]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+5,77,-0.07488669,0.3827278,2,-0.09354076594739029,0.33204128402332034,"[2.0578315508545066e-05, 1.44824791005581e-19, 0.9999630416889246, 1.3843840921657103e-18, 1.6379995566952073e-05]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+5,78,0.022653038,0.24370801,2,-0.09354076594739029,0.33204128402332034,"[0.21179826698052792, 1.869794287159544e-10, 0.7830836248847585, 7.638756763700199e-10, 0.005118107183858346]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+5,79,0.24368975,0.18879418,0,0.046218503789983885,0.004953785986959865,"[0.999450778559213, 0.0002803687178676786, 0.00026803162429234434, 7.824834079239701e-07, 3.861521899129125e-08]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+5,80,-0.16938657,-0.05973538,4,-0.21275706367934288,-0.0031904620518618575,"[0.126411437231009, 1.6281051541224856e-08, 3.2753153347658064e-08, 0.0024775002095240913, 0.871111013525262]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+5,81,-0.25151917,-0.28693447,3,-0.12286635144929052,-0.2829108388789275,"[0.04974595875215846, 9.901589919656011e-07, 2.2373959648856026e-18, 0.9438769582665935, 0.006376092822256031]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+5,82,0.04577409,-0.24324691,3,-0.12286635144929052,-0.2829108388789275,"[0.09337526792612814, 0.04248650571793548, 1.1837707704608243e-20, 0.8641359764819172, 2.2498740192414846e-06]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+5,83,-0.22563006,-0.049784996,4,-0.21275706367934288,-0.0031904620518618575,"[0.025518203213869918, 2.1532290680074022e-10, 1.6675131007143642e-07, 0.0003215208561008268, 0.9741601089633963]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+5,84,-0.20074943,0.040258985,4,-0.21275706367934288,-0.0031904620518618575,"[0.012676563818555111, 6.5446197939197285e-12, 9.77429739814886e-05, 2.6490923750383373e-06, 0.9872230441085436]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+5,85,-0.1496939,0.30529067,2,-0.09354076594739029,0.33204128402332034,"[3.3878453137528676e-05, 4.459143319489033e-19, 0.9988612625950749, 6.124583527047184e-16, 0.0011048589517869297]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+5,86,0.2630342,0.051892787,0,0.046218503789983885,0.004953785986959865,"[0.8561198077109042, 0.14261849138747684, 5.187582421471969e-09, 0.0012616886106957379, 7.103341049043111e-09]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+5,87,0.61719507,-0.024593957,1,0.4007888716927687,-0.08240049330680303,"[8.649462713997845e-08, 0.9999996530364026, 4.626925954381852e-22, 2.604689701270223e-07, 1.6082520600485832e-29]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+5,88,-0.14552048,-0.15470643,0,0.046218503789983885,0.004953785986959865,"[0.4903721221245826, 6.197086332808586e-06, 2.3851450359121195e-12, 0.29372005127822104, 0.2159016295084786]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+5,89,0.004352061,-0.07103703,0,0.046218503789983885,0.004953785986959865,"[0.9472279570884551, 0.0002497620939450408, 1.3690419893269693e-10, 0.04497996850493105, 0.007542312175764585]","[0.014898668583552021, 0.015048253132221853]",0.22789447786063988,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+5,90,-0.31772932,0.41427824,2,-0.09354076594739029,0.33204128402332034,"[8.342919583066602e-10, 8.536190157360713e-30, 0.9999986736582475, 1.4817286942776214e-24, 1.3255074606632325e-06]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+5,91,-0.118134014,0.26676714,2,-0.09354076594739029,0.33204128402332034,"[0.0006840578377058705, 2.891199003274188e-16, 0.9909213355659564, 2.2831853196233376e-13, 0.008394606596109152]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+5,92,-0.19037005,0.30377576,2,-0.09354076594739029,0.33204128402332034,"[7.993242106645048e-06, 1.712025981263874e-20, 0.9989372897473207, 1.3790317301594743e-16, 0.0010547170105722928]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+5,93,-0.18803668,0.09546091,4,-0.21275706367934288,-0.0031904620518618575,"[0.010462188215971658, 7.796069038014448e-13, 0.0039238865574562866, 1.243047476528627e-07, 0.9856138009210449]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+5,94,0.32727078,-0.11709024,1,0.4007888716927687,-0.08240049330680303,"[0.0012009796196227524, 0.9963681387821547, 1.1913544682447836e-19, 0.002430881598208071, 1.430158641473766e-14]","[0.016681731001044708, 0.012186618506419883]",0.18894708077409159,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+5,95,0.3095995,0.5030761,2,-0.09354076594739029,0.33204128402332034,"[0.026204486577204235, 4.712172565030532e-11, 0.973795513375597, 3.1660992255351766e-18, 7.706556038640193e-14]","[0.018580429468261453, 0.005464061771551785]",0.18968688989988752,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+5,96,-0.26364937,-0.38828564,3,-0.12286635144929052,-0.2829108388789275,"[0.010824588412437901, 3.248206335160216e-06, 7.651506962712515e-25, 0.9891352100640007, 3.6953317226097885e-05]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+5,97,-0.25224024,-0.31188005,3,-0.12286635144929052,-0.2829108388789275,"[0.03190026753622706, 1.39016869225625e-06, 5.545828364797878e-20, 0.9663809048617739, 0.0017174374333068204]","[0.016211104609221115, 0.007147525561211498]",0.1690550213939759,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+5,98,-0.30068702,-0.14781809,4,-0.21275706367934288,-0.0031904620518618575,"[0.04545566763270633, 9.223697571627226e-10, 3.02028442312512e-10, 0.023935157985596946, 0.9306091731572984]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+5,99,-0.09486352,0.005280091,4,-0.21275706367934288,-0.0031904620518618575,"[0.3901772604361469, 8.090957837831897e-08, 2.5863715755741704e-06, 0.0005409760888366501, 0.6092790961938626]","[0.0054719864890693274, 0.0063598164580718815]",0.22441653007140522,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+6,0,0.08799766,-0.06060414,0,0.043912488447873634,0.0009302794543285151,"[0.9683409833764014, 0.0034361592313366875, 1.4189739285128863e-11, 0.028059874018124337, 0.00016298335994776418]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+6,1,-0.08406016,0.2851326,2,-0.1175666686646391,0.3253834673790484,"[0.005008124925562198, 5.5044140938591485e-17, 0.9917447580233327, 6.478328695429739e-16, 0.0032471170511043233]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+6,2,-0.16364236,-0.11411294,4,-0.213519426706877,-0.006297675711616576,"[0.2897856112268587, 8.896128783402113e-08, 1.006857662816514e-11, 0.019300439558233445, 0.6909138602435515]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+6,3,0.07371062,-0.27021888,3,-0.1265023537202139,-0.2905588727955389,"[0.2235818836065564, 0.10354814000419385, 5.039058625248685e-24, 0.6728694092500703, 5.671391793058145e-07]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+6,4,-0.1284643,0.3103237,2,-0.1175666686646391,0.3253834673790484,"[0.0005367880254623169, 7.767036690518774e-20, 0.9981559184229105, 2.4292512588082065e-18, 0.0013072935516272623]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+6,5,-0.23808402,0.26056772,2,-0.1175666686646391,0.3253834673790484,"[0.00011126554996275983, 9.517609409306858e-22, 0.9852991951326828, 1.5111515645514626e-17, 0.01458953931735452]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+6,6,-0.10493148,-0.30384988,3,-0.1265023537202139,-0.2905588727955389,"[0.17908185188499892, 0.00016383056716156604, 2.0321803435926737e-24, 0.8204915009807375, 0.0002628165671020443]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+6,7,-0.295713,-0.42771262,3,-0.1265023537202139,-0.2905588727955389,"[0.09666194646076866, 5.379658882231334e-07, 2.5214009629116803e-32, 0.9032910742185667, 4.6441354776495485e-05]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+6,8,-0.3188932,-0.023905918,4,-0.213519426706877,-0.006297675711616576,"[0.0030557911924382086, 1.0065564922140413e-14, 1.9276543666892798e-07, 1.278791111462853e-06, 0.9969427372510036]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+6,9,0.52375084,0.03593809,1,0.40562164791490474,-0.08153763996448539,"[5.321675473541919e-05, 0.999945315418464, 7.044303441950591e-18, 1.4678268006942402e-06, 3.826541626169934e-23]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+6,10,-0.24769914,0.06194072,4,-0.213519426706877,-0.006297675711616576,"[0.004187949880500522, 5.889071236584682e-15, 0.0001412609762489838, 1.2291106556193779e-08, 0.995670776852138]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+6,11,0.45866024,0.07679337,1,0.40562164791490474,-0.08153763996448539,"[0.0030354650128167878, 0.9969584165658768, 9.581152639758818e-14, 6.118421210544797e-06, 1.260095084444745e-18]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+6,12,-0.21952832,-0.2596673,3,-0.1265023537202139,-0.2905588727955389,"[0.21841069663409224, 6.686199479308923e-07, 4.9407959278630574e-20, 0.745849823099772, 0.03573881164618782]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+6,13,0.5387558,-0.021885695,1,0.40562164791490474,-0.08153763996448539,"[6.306293422262025e-06, 0.999992057141744, 2.852781103619996e-21, 1.6365648337119212e-06, 7.71620248008606e-25]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+6,14,-0.31746334,-0.03755091,4,-0.213519426706877,-0.006297675711616576,"[0.0038507270314282744, 2.678886939491955e-14, 5.4508839357120254e-08, 3.527337561874647e-06, 0.9961456911221436]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+6,15,0.21572201,0.15297481,0,0.043912488447873634,0.0009302794543285151,"[0.9997859722859438, 0.0001926524614287751, 2.0302554860096457e-05, 9.221159467788878e-07, 1.5058182043427845e-07]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+6,16,-0.17784788,-0.16018736,4,-0.213519426706877,-0.006297675711616576,"[0.39746872941152744, 3.396638828718147e-07, 5.438727670807446e-14, 0.1270095896924722, 0.4755213412320632]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+6,17,0.12485067,-0.17534988,0,0.043912488447873634,0.0009302794543285151,"[0.406936556964098, 0.1930597955657958, 1.8827603809941503e-18, 0.4000027045139927, 9.429561134520774e-07]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+6,18,-0.045080878,-0.32160506,3,-0.1265023537202139,-0.2905588727955389,"[0.19086188289850325, 0.0024212684469381604, 2.5257675727429717e-26, 0.8067001870311313, 1.666162342745233e-05]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+6,19,-0.29219365,-0.1354431,4,-0.213519426706877,-0.006297675711616576,"[0.038959298753717155, 7.170950767177417e-11, 2.577775877108544e-12, 0.004055844775303118, 0.9569848563966926]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+6,20,0.22983314,0.005944166,0,0.043912488447873634,0.0009302794543285151,"[0.8449321285960073, 0.15071242228121381, 1.3326342628702765e-10, 0.004355407783621255, 4.120589399976975e-08]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+6,21,-0.2313607,0.15489271,4,-0.213519426706877,-0.006297675711616576,"[0.004251121150269082, 6.156926601060302e-17, 0.10227756242466825, 1.157997327147968e-11, 0.8934713164134828]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+6,22,0.44196302,-0.22339565,1,0.40562164791490474,-0.08153763996448539,"[7.225441277065115e-06, 0.9999647043408666, 3.646063646962987e-30, 2.8070217856084183e-05, 3.607156717169682e-22]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+6,23,0.31953293,-0.23248373,1,0.40562164791490474,-0.08153763996448539,"[0.00046713113825582944, 0.99812252285458, 2.679346807474022e-27, 0.00141034600716352, 5.006821233642257e-16]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+6,24,0.0025802255,-0.08199731,0,0.043912488447873634,0.0009302794543285151,"[0.9527579241468094, 0.00016298945000105242, 1.5310443025257466e-11, 0.03854830453733663, 0.00853078185054256]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+6,25,0.023439856,-0.079839304,0,0.043912488447873634,0.0009302794543285151,"[0.9564430183215142, 0.0003828275205803681, 1.0817814105920674e-11, 0.03984697411652047, 0.003327180030567076]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+6,26,-0.06371302,0.3954228,2,-0.1175666686646391,0.3253834673790484,"[0.0007338652253084635, 8.645194370719398e-21, 0.9992414795554291, 8.007826129412912e-22, 2.4655219262536967e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+6,27,-0.2963673,0.015343715,4,-0.213519426706877,-0.006297675711616576,"[0.002549592953706817, 3.5286589772117295e-15, 4.643328641146002e-06, 1.1343958700545684e-07, 0.9974456502780614]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+6,28,0.08612508,0.3898904,2,-0.1175666686646391,0.3253834673790484,"[0.10987600820809872, 1.352102133070943e-14, 0.8901220459960933, 4.768879524368891e-18, 1.945795794442883e-06]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+6,29,-0.20296153,0.2345368,2,-0.1175666686646391,0.3253834673790484,"[0.0009835202400023044, 3.901293247739843e-19, 0.9329258935926166, 2.9441276276428024e-15, 0.06609058616737815]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+6,30,-0.3021013,-0.23802479,3,-0.1265023537202139,-0.2905588727955389,"[0.20442085110541172, 9.557603307081789e-09, 9.546982346115412e-18, 0.5005507276365592, 0.2950284117004257]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+6,31,0.40233114,0.06031101,1,0.40562164791490474,-0.08153763996448539,"[0.01942977447261041, 0.98052498308923, 1.1752669246179334e-12, 4.524243698294105e-05, 1.3796879615757304e-15]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+6,32,-0.31179968,-0.050893012,4,-0.213519426706877,-0.006297675711616576,"[0.005198036775389479, 9.136520663328963e-14, 1.469752049110916e-08, 1.0146977357875145e-05, 0.9947918015496406]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+6,33,0.11298243,0.035079706,0,0.043912488447873634,0.0009302794543285151,"[0.9991932383207575, 0.00028715153745417267, 8.37547451009563e-08, 0.000411931802488253, 0.00010759458455488834]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+6,34,-0.23456638,0.06657637,4,-0.213519426706877,-0.006297675711616576,"[0.005440968882615237, 1.1776771052346639e-14, 0.0001889231676928584, 1.2981835333939367e-08, 0.9943700949678448]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+6,35,0.11017645,-0.16371755,0,0.043912488447873634,0.0009302794543285151,"[0.5158824133942722, 0.10189202385446351, 1.690689060429677e-17, 0.38222193114352276, 3.631607741480958e-06]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+6,36,0.1429859,0.059452157,0,0.043912488447873634,0.0009302794543285151,"[0.9994183305234318, 0.00041772035268836875, 2.6136369615193777e-07, 0.0001438061733162682, 1.9881586867426388e-05]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+6,37,-0.040502112,0.02318828,0,0.043912488447873634,0.0009302794543285151,"[0.8134462427420744, 2.68998901880226e-07, 2.3579164791781633e-06, 0.00016428372417064512, 0.18638684661837399]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+6,38,-0.06471333,0.08954511,0,0.043912488447873634,0.0009302794543285151,"[0.5245218844402633, 2.0856671768436535e-09, 0.0008719931651293007, 1.3272806592068497e-06, 0.474604793028281]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+6,39,0.06407858,0.09707585,0,0.043912488447873634,0.0009302794543285151,"[0.9978691066319375, 1.690401535315965e-06, 5.864181325370837e-05, 6.1406211405519616e-06, 0.002064420532133252]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+6,40,-0.021407472,0.09407413,0,0.043912488447873634,0.0009302794543285151,"[0.8747557894270023, 2.4529083299372656e-08, 0.0005622886231478457, 2.5725324534389878e-06, 0.12467932488831292]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+6,41,-0.056248758,0.025906589,0,0.043912488447873634,0.0009302794543285151,"[0.688519730291717, 9.373205243520972e-08, 4.0586515821800205e-06, 0.00010420867454162991, 0.31137190865010667]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+6,42,-0.15132618,0.02146309,4,-0.213519426706877,-0.006297675711616576,"[0.06941086446236253, 1.0875020795062324e-10, 4.156195530159285e-06, 6.275188776566903e-06, 0.9305787040445804]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+6,43,-0.18518934,0.0027779788,4,-0.213519426706877,-0.006297675711616576,"[0.03248035801159781, 2.339698742154821e-11, 8.375307457803654e-07, 6.857423308069297e-06, 0.9675119470109514]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+6,44,0.5118622,-0.024860546,1,0.40562164791490474,-0.08153763996448539,"[1.6887971379096418e-05, 0.9999793701871638, 1.4308556803277303e-20, 3.7418414572255046e-06, 2.9902762555639835e-23]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+6,45,-0.0018669573,0.3644946,2,-0.1175666686646391,0.3253834673790484,"[0.008879172025833729, 4.12002450392968e-17, 0.9910869696161266, 1.1319358753536635e-18, 3.385835803963554e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+6,46,-0.24925767,0.015651966,4,-0.213519426706877,-0.006297675711616576,"[0.006095240639989062, 9.255833041956373e-14, 3.193518351128659e-06, 3.733504651074061e-07, 0.9939011924911021]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+6,47,0.2804453,-0.1894261,1,0.40562164791490474,-0.08153763996448539,"[0.003760135340085816, 0.9889412759457532, 2.7762626313952965e-23, 0.007298588713930806, 2.301525686124688e-13]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+6,48,0.37225774,-0.11562894,1,0.40562164791490474,-0.08153763996448539,"[0.0004910161647660696, 0.9990913852722552, 2.3966283609794265e-21, 0.00041759856297881757, 9.880098219590401e-17]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+6,49,0.1460578,0.21914145,0,0.043912488447873634,0.0009302794543285151,"[0.992693549888278, 1.8181660855129116e-07, 0.0072970304761984, 2.149254959675366e-09, 9.235669660069014e-06]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+6,50,0.07159563,-0.024327766,0,0.043912488447873634,0.0009302794543285151,"[0.9933572961673326, 0.00045443045974787966, 1.0674730596939006e-09, 0.005537622311940988, 0.0006506499935056622]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+6,51,-0.078428976,-0.18954016,0,0.043912488447873634,0.0009302794543285151,"[0.532618075953391, 8.611525739241172e-05, 9.81802825946988e-17, 0.45476460745938685, 0.012531201329829688]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+6,52,-0.23586994,0.37846398,2,-0.1175666686646391,0.3253834673790484,"[3.6193784012275168e-06, 4.4860143655524465e-27, 0.9999263063555642, 1.0457237243449384e-24, 7.007426603448809e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+6,53,-0.15925287,-0.015642455,4,-0.213519426706877,-0.006297675711616576,"[0.08127721893417182, 4.983576217488065e-10, 1.6199536354462197e-07, 5.7784761006859086e-05, 0.9186648338111002]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+6,54,0.38273144,-0.19184409,1,0.40562164791490474,-0.08153763996448539,"[8.530849522351533e-05, 0.9996783707977478, 2.0404032846190705e-26, 0.00023632070702880856, 1.5697697423948871e-18]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+6,55,-0.029614072,-0.05991212,0,0.043912488447873634,0.0009302794543285151,"[0.9368286088266193, 1.6680130855485847e-05, 4.490576113516171e-10, 0.01290932551492057, 0.050245385078546846]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+6,56,-0.041920777,-0.1336057,0,0.043912488447873634,0.0009302794543285151,"[0.8167894634672567, 0.00011351820917289787, 9.214887385833025e-14, 0.1646390028110492, 0.0184580155124291]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+6,57,-0.05421332,-0.22073112,3,-0.1265023537202139,-0.2905588727955389,"[0.3745593334872136, 0.00038831683375293983, 4.3367526470564185e-19, 0.6236001559469834, 0.0014521937320499802]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+6,58,-0.19589648,0.09422963,4,-0.213519426706877,-0.006297675711616576,"[0.012457535006997165, 4.402027617025809e-14, 0.0013782120279371385, 5.9229171563315675e-09, 0.9861642470421046]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+6,59,0.09615892,0.18102637,0,0.043912488447873634,0.0009302794543285151,"[0.9945477998466963, 1.1352175135576228e-07, 0.005185265288729714, 2.2139295681227593e-08, 0.00026679920352695025]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+6,60,-0.013711061,-0.07216554,0,0.043912488447873634,0.0009302794543285151,"[0.9548838767465109, 5.52919263454103e-05, 7.447952521104927e-11, 0.024013313683161654, 0.021047517569502433]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+6,61,0.49365819,-0.019841706,1,0.40562164791490474,-0.08153763996448539,"[3.936977113867012e-05, 0.9999543631756884, 9.983373430917469e-20, 6.2670531729299054e-06, 4.291641557797045e-22]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+6,62,-0.096782275,0.2680031,2,-0.1175666686646391,0.3253834673790484,"[0.006326202588688208, 1.0824738448449658e-16, 0.9851202647131411, 3.659503829588578e-15, 0.008553532698166935]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+6,63,-0.07022652,-0.30347943,3,-0.1265023537202139,-0.2905588727955389,"[0.19037099208061464, 0.0006661479633860599, 9.543175598276884e-25, 0.8088778678506877, 8.49921053116103e-05]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+6,64,-0.08510746,-0.26066056,3,-0.1265023537202139,-0.2905588727955389,"[0.24833534773518484, 0.00019486643873421533, 1.6344935704908495e-21, 0.7506122188576779, 0.0008575669684030419]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+6,65,-0.00251228,0.3769304,2,-0.1175666686646391,0.3253834673790484,"[0.007128457230265587, 1.2829708090088476e-17, 0.9928502987925845, 2.229354779477705e-19, 2.1243977149922527e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+6,66,0.42614552,0.08994585,1,0.40562164791490474,-0.08153763996448539,"[0.019723746661553503, 0.9802627085739779, 5.0136564019410025e-12, 1.3544759454821374e-05, 1.6333034770430797e-16]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+6,67,0.25132486,-0.20319358,1,0.40562164791490474,-0.08153763996448539,"[0.008622341020000262, 0.973296508601126, 2.311316988730736e-23, 0.01808115037581882, 3.054750049002336e-12]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+6,68,-0.18157998,0.03947093,4,-0.213519426706877,-0.006297675711616576,"[0.02525205470023294, 3.5237373277471276e-12, 1.854889508171255e-05, 5.850617183267508e-07, 0.9747288113394434]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+6,69,-0.12251995,-0.049827244,4,-0.213519426706877,-0.006297675711616576,"[0.31447450302987057, 5.026962090461919e-08, 6.185489104487165e-09, 0.001601232036262339, 0.6839242084787572]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+6,70,-0.18423451,0.25213403,2,-0.1175666686646391,0.3253834673790484,"[0.0008068369098070447, 2.798715398567098e-19, 0.9724892664248659, 5.7377943995589235e-16, 0.02670389666532639]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+6,71,-0.04843812,0.4040603,2,-0.1175666686646391,0.3253834673790484,"[0.0011148546323405172, 1.689211984354443e-20, 0.9988697629674493, 5.962957943252164e-22, 1.5382400210052093e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+6,72,0.25011468,-0.18353273,1,0.40562164791490474,-0.08153763996448539,"[0.012879506487610206, 0.966044812713686, 5.178818322016368e-22, 0.021075680790659124, 8.044747347121853e-12]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+6,73,0.24778247,-0.18444899,1,0.40562164791490474,-0.08153763996448539,"[0.013791646643944071, 0.9635126459340477, 5.256746284485856e-22, 0.022695707412076695, 9.931492513386956e-12]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+6,74,-0.17648138,-0.41862112,3,-0.1265023537202139,-0.2905588727955389,"[0.17612940699360552, 7.23376757645741e-05, 1.7598586241528892e-32, 0.8237834208219654, 1.4834508664443495e-05]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+6,75,-0.16704087,-0.3598848,3,-0.1265023537202139,-0.2905588727955389,"[0.13644072661186113, 3.261443301040739e-05, 5.113764798523792e-28, 0.8633953664122741, 0.00013129254285434988]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+6,76,0.61073065,0.018717432,1,0.40562164791490474,-0.08153763996448539,"[1.0036198545608218e-06, 0.9999988556187451, 1.4915439357828173e-21, 1.4076140018491647e-07, 7.547785862452615e-29]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+6,77,-0.07488669,0.3827278,2,-0.1175666686646391,0.3253834673790484,"[0.000597156407873587, 9.531420682412268e-21, 0.9993592025471164, 2.3069957227606344e-21, 4.3641045009932214e-05]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+6,78,0.022653038,0.24370801,2,-0.1175666686646391,0.3253834673790484,"[0.4393114803957601, 2.7150695675687316e-11, 0.5570263099498451, 1.663598209400821e-11, 0.003662209610608]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+6,79,0.24368975,0.18879418,0,0.043912488447873634,0.0009302794543285151,"[0.9998081449774141, 0.00013027854549962266, 6.145736923406972e-05, 1.0335934026580103e-07, 1.5748511873174224e-08]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+6,80,-0.16938657,-0.05973538,4,-0.213519426706877,-0.006297675711616576,"[0.11188399852269354, 2.95768598594209e-09, 2.6779099936457076e-09, 0.0007043446954015291, 0.8874116511463089]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+6,81,-0.25151917,-0.28693447,3,-0.1265023537202139,-0.2905588727955389,"[0.1530004173332469, 2.556421757190788e-07, 9.95938808057924e-22, 0.8293261878703151, 0.0176731391542622]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+6,82,0.04577409,-0.24324691,3,-0.1265023537202139,-0.2905588727955389,"[0.28509068050100167, 0.02703324587013926, 8.224761760093175e-22, 0.6878691340586262, 6.939570232838767e-06]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+6,83,-0.22563006,-0.049784996,4,-0.213519426706877,-0.006297675711616576,"[0.024545590549472945, 2.8193092267336534e-11, 8.06789674301511e-09, 7.038051867583886e-05, 0.9753840208357613]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+6,84,-0.20074943,0.040258985,4,-0.213519426706877,-0.006297675711616576,"[0.015036487144731632, 7.602516637030285e-13, 2.031547641136626e-05, 2.823855345855364e-07, 0.9849429149925624]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+6,85,-0.1496939,0.30529067,2,-0.1175666686646391,0.3253834673790484,"[0.00032184329887018293, 1.9374607986342186e-20, 0.9978924896194884, 1.7313897169526725e-18, 0.0017856670816415422]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+6,86,0.2630342,0.051892787,0,0.043912488447873634,0.0009302794543285151,"[0.8742828140060043, 0.12504939907854046, 2.6768206771464742e-09, 0.0006677792987788317, 4.939855977344408e-09]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+6,87,0.61719507,-0.024593957,1,0.40562164791490474,-0.08153763996448539,"[2.8741979100539586e-07, 0.9999995413147902, 6.743464981846148e-24, 1.7126541907134884e-07, 8.763800234532152e-30]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+6,88,-0.14552048,-0.15470643,0,0.043912488447873634,0.0009302794543285151,"[0.5444821891695393, 1.6191793472426508e-06, 6.605797999465584e-14, 0.1573262081395287, 0.29818998351151876]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+6,89,0.004352061,-0.07103703,0,0.043912488447873634,0.0009302794543285151,"[0.9646930825006802, 0.0001206523819201877, 5.0968635247430724e-11, 0.025638507219764857, 0.009547757846666116]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+6,90,-0.31772932,0.41427824,2,-0.1175666686646391,0.3253834673790484,"[1.7372350770832777e-07, 6.193531801589144e-32, 0.9999907653902658, 1.1895437773718083e-28, 9.060886226261435e-06]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+6,91,-0.118134014,0.26676714,2,-0.1175666686646391,0.3253834673790484,"[0.003406305870667776, 1.8872648172636503e-17, 0.986078815408606, 1.586113671892648e-15, 0.010514878720724754]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+6,92,-0.19037005,0.30377576,2,-0.1175666686646391,0.3253834673790484,"[9.512189696715574e-05, 5.867638541419862e-22, 0.9979307592677906, 3.039282075175862e-19, 0.0019741188352424004]","[0.009973648048490982, 0.0038217999098212347]",0.17378235928912458,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+6,93,-0.18803668,0.09546091,4,-0.213519426706877,-0.006297675711616576,"[0.015371885805050492, 7.662106283052505e-14, 0.0014944223862081963, 7.227416413779675e-09, 0.9831336845812483]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+6,94,0.32727078,-0.11709024,1,0.40562164791490474,-0.08153763996448539,"[0.0027124965940664935, 0.9954412661126872, 4.560678905687931e-20, 0.0018462372932256273, 2.062356688608524e-14]","[0.015649291601961005, 0.01214128732351877]",0.18526842627541115,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+6,95,0.3095995,0.5030761,0,0.043912488447873634,0.0009302794543285151,"[0.9980997368486848, 1.3615744610719732e-11, 0.0019002631376289364, 1.1326004960789296e-20, 7.025404712783085e-14]","[0.018526594330651982, 0.030452144566032895]",0.27224736026991364,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+6,96,-0.26364937,-0.38828564,3,-0.1265023537202139,-0.2905588727955389,"[0.09480270861829877, 9.197875746670924e-07, 2.0260156780135998e-29, 0.9050022598683538, 0.0001941117257728778]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+6,97,-0.25224024,-0.31188005,3,-0.1265023537202139,-0.2905588727955389,"[0.12173357772710983, 3.697774755827373e-07, 1.33286948358601e-23, 0.8728045647690309, 0.005461487726383704]","[0.01607136829354227, 0.006720631658228496]",0.13850241350370915,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+6,98,-0.30068702,-0.14781809,4,-0.213519426706877,-0.006297675711616576,"[0.04633000836568957, 9.369522109901297e-11, 7.535687381097204e-13, 0.00759473257288932, 0.9460752589669723]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+6,99,-0.09486352,0.005280091,4,-0.213519426706877,-0.006297675711616576,"[0.3736718816326427, 2.0106795570950277e-08, 9.65420804459086e-07, 0.00013347835616778388, 0.6261936544835894]","[0.00532382814540541, 0.007258672542561898]",0.23019944066184153,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+7,0,0.08799766,-0.06060414,0,0.08273747157300083,0.016519931061773654,"[0.8494366135196633, 0.011412833749839455, 4.017591118007274e-11, 0.1376707456949014, 0.0014798069954201924]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+7,1,-0.08406016,0.2851326,2,-0.11663928851106392,0.32384781611338126,"[0.0010471284149607433, 1.2068916573184135e-14, 0.9971495638664118, 4.6269419530810484e-07, 0.0018028450244202715]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+7,2,-0.16364236,-0.11411294,4,-0.1996801020901614,0.0024864258082550324,"[0.06206644111125619, 2.782595453328941e-06, 2.9202345561012487e-11, 0.3394380718051253, 0.5984927044589626]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+7,3,0.07371062,-0.27021888,0,0.08273747157300083,0.016519931061773654,"[0.4331289310056252, 0.2630518244030756, 6.468467017849792e-23, 0.30381826220198377, 9.823893155031198e-07]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+7,4,-0.1284643,0.3103237,2,-0.11663928851106392,0.32384781611338126,"[6.602130435715058e-05, 4.2649905856509234e-17, 0.9995321783991551, 2.3297820090492894e-08, 0.00040177699866768323]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+7,5,-0.23808402,0.26056772,2,-0.11663928851106392,0.32384781611338126,"[2.8488391218698686e-06, 1.9057574778136644e-18, 0.9955144565806181, 2.8279522783319303e-08, 0.004482666300737095]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+7,6,-0.10493148,-0.30384988,3,-0.13817844936362567,-0.24997137110223888,"[0.16850428375496157, 0.0012015520561795715, 2.1448308145693183e-23, 0.8302347792182462, 5.9384970612616585e-05]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+7,7,-0.295713,-0.42771262,3,-0.13817844936362567,-0.24997137110223888,"[0.01711432192826241, 1.0112541496335804e-05, 3.2207589530970334e-31, 0.9828743680276363, 1.1975026049482675e-06]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+7,8,-0.3188932,-0.023905918,4,-0.1996801020901614,0.0024864258082550324,"[4.280155359960798e-05, 4.5944650427040734e-12, 2.998156692335022e-07, 0.0011873327376609728, 0.9987695658884758]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+7,9,0.52375084,0.03593809,1,0.392824477738228,-0.0839010650724529,"[4.966555182360889e-06, 0.9999949572750995, 3.423327895658381e-17, 7.61697182234782e-08, 2.3252010213819677e-17]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+7,10,-0.24769914,0.06194072,4,-0.1996801020901614,0.0024864258082550324,"[0.00015988463388257572, 2.189598598392592e-12, 0.00020579058942581094, 0.0002757960934805023, 0.9993585286810216]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+7,11,0.45866024,0.07679337,1,0.392824477738228,-0.0839010650724529,"[0.0006267777599190855, 0.9993696498911798, 3.1090947841382875e-13, 3.5723484969727494e-06, 9.309177603258187e-14]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+7,12,-0.21952832,-0.2596673,3,-0.13817844936362567,-0.24997137110223888,"[0.033942285346511024, 1.2000213073292476e-05, 2.0791550567324348e-19, 0.9594204984887149, 0.006625215951700676]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+7,13,0.5387558,-0.021885695,1,0.392824477738228,-0.0839010650724529,"[4.1659294915229314e-07, 0.9999995658440886, 1.9153610979497836e-20, 1.756296235027237e-08, 5.943013930464366e-19]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+7,14,-0.31746334,-0.03755091,4,-0.1996801020901614,0.0024864258082550324,"[5.988690447605489e-05, 1.0833836446453527e-11, 9.061308266098242e-08, 0.0019581446148290746, 0.9979818778567783]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+7,15,0.21572201,0.15297481,0,0.08273747157300083,0.016519931061773654,"[0.997855822565475, 0.0007319595622661134, 3.519642258842005e-05, 0.0013585068003781845, 1.8514649292360602e-05]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+7,16,-0.17784788,-0.16018736,3,-0.13817844936362567,-0.24997137110223888,"[0.06999845164864164, 7.551041241019096e-06, 1.5533876265526087e-13, 0.689015604924987, 0.240978392384975]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+7,17,0.12485067,-0.17534988,0,0.08273747157300083,0.016519931061773654,"[0.47642281855379887, 0.3569981919304699, 1.0960317431342064e-17, 0.1665719769100453, 7.012605685820763e-06]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+7,18,-0.045080878,-0.32160506,3,-0.13817844936362567,-0.24997137110223888,"[0.30670601900660605, 0.011195077453528043, 3.6320339860396204e-25, 0.6820943525394079, 4.551000457952088e-06]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+7,19,-0.29219365,-0.1354431,4,-0.1996801020901614,0.0024864258082550324,"[0.0019914088013081436, 1.2409522759269451e-08, 8.823228896438187e-12, 0.11660970561932618, 0.8813988731610197]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+7,20,0.22983314,0.005944166,0,0.08273747157300083,0.016519931061773654,"[0.710020321667947, 0.2714872839197501, 3.6782640708792393e-10, 0.018486196910866698, 6.1971336098439326e-06]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+7,21,-0.2313607,0.15489271,4,-0.1996801020901614,0.0024864258082550324,"[0.00020887102635172932, 5.347402070335913e-14, 0.15994333549196457, 3.481344102756827e-05, 0.8398129800406028]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+7,22,0.44196302,-0.22339565,1,0.392824477738228,-0.0839010650724529,"[1.3684056526959948e-06, 0.9999983745617591, 6.682990961320591e-29, 2.570325881181146e-07, 1.9365767985593456e-18]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+7,23,0.31953293,-0.23248373,1,0.392824477738228,-0.0839010650724529,"[0.00030681813967330053, 0.9996347018147024, 3.850719773891597e-26, 5.8480045526618014e-05, 9.763995599419658e-14]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+7,24,0.0025802255,-0.08199731,0,0.08273747157300083,0.016519931061773654,"[0.6654694436725019, 0.001025924253845523, 4.4034712279991075e-11, 0.3083740284110222, 0.025130603618595752]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+7,25,0.023439856,-0.079839304,0,0.08273747157300083,0.016519931061773654,"[0.7220251923488278, 0.001998367075945186, 3.1199799871030245e-11, 0.26372391380062704, 0.012252526743400318]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+7,26,-0.06371302,0.3954228,2,-0.11663928851106392,0.32384781611338126,"[0.00019376810381684998, 3.944851507460353e-18, 0.9998015319267463, 1.3293450094164217e-09, 4.698640091893453e-06]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+7,27,-0.2963673,0.015343715,4,-0.1996801020901614,0.0024864258082550324,"[4.7201753626378036e-05, 1.6800465878216094e-12, 6.80989826837869e-06, 0.0004598005802570296, 0.9994861877661679]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+7,28,0.08612508,0.3898904,2,-0.11663928851106392,0.32384781611338126,"[0.0991120213907297, 7.371576421553403e-13, 0.9008847738135101, 1.78176859768903e-07, 3.026618163492893e-06]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+7,29,-0.20296153,0.2345368,2,-0.11663928851106392,0.32384781611338126,"[4.6481422132468444e-05, 3.370364021704146e-16, 0.9715978438123387, 5.587763841600711e-07, 0.02835511598914431]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+7,30,-0.3021013,-0.23802479,3,-0.13817844936362567,-0.24997137110223888,"[0.00772190320224787, 4.5703219367924305e-07, 2.7123888865255974e-17, 0.9249469331933566, 0.06733070657220196]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+7,31,0.40233114,0.06031101,1,0.392824477738228,-0.0839010650724529,"[0.006195868881241093, 0.9937589604294794, 3.3843212053857695e-12, 4.517066910942017e-05, 1.6785875601932463e-11]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+7,32,-0.31179968,-0.050893012,4,-0.1996801020901614,0.0024864258082550324,"[9.84028341889941e-05, 3.142936239106777e-11, 2.673041453913015e-08, 0.0034426947855196828, 0.9964588756184476]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+7,33,0.11298243,0.035079706,0,0.08273747157300083,0.016519931061773654,"[0.9662547257645113, 0.0014010151696911674, 1.91401605592997e-07, 0.03014798650994442, 0.0021960811542476835]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+7,34,-0.23456638,0.06657637,4,-0.1996801020901614,0.0024864258082550324,"[0.00025058649558013413, 3.739053354045772e-12, 0.000274058214188978, 0.0003141685592598418, 0.999161186727232]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+7,35,0.11017645,-0.16371755,0,0.08273747157300083,0.016519931061773654,"[0.58061129281672, 0.20911141362390095, 8.830277473479237e-17, 0.21025356174864632, 2.3731810732622797e-05]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+7,36,0.1429859,0.059452157,0,0.08273747157300083,0.016519931061773654,"[0.981794273800027, 0.0017804252971878156, 5.601019018647867e-07, 0.01575138145569221, 0.0006733593451913478]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+7,37,-0.040502112,0.02318828,4,-0.1996801020901614,0.0024864258082550324,"[0.3901894219517197, 5.222478712636744e-06, 4.718366635438911e-06, 0.06554827985860688, 0.5442523573443254]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+7,38,-0.06471333,0.08954511,4,-0.1996801020901614,0.0024864258082550324,"[0.1445020489712711, 6.541630016210184e-08, 0.0010945207790180318, 0.00914428159048478, 0.8452590832429259]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+7,39,0.06407858,0.09707585,0,0.08273747157300083,0.016519931061773654,"[0.9626986813840767, 2.1092907279553763e-05, 0.00012356595074142218, 0.013184961665450719, 0.023971698092451508]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+7,40,-0.021407472,0.09407413,0,0.08273747157300083,0.016519931061773654,"[0.4966171402985247, 7.004911238660446e-07, 0.0010549521286766844, 0.017099920927861417, 0.4852272861538132]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+7,41,-0.056248758,0.025906589,4,-0.1996801020901614,0.0024864258082550324,"[0.25516505985730886, 1.933927070686469e-06, 6.9573965329767656e-06, 0.049386205394204706, 0.6954398434248829]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+7,42,-0.15132618,0.02146309,4,-0.1996801020901614,0.0024864258082550324,"[0.008920957658117555, 6.019038677608955e-09, 5.833069488484626e-06, 0.0067505867110100965, 0.9843226165423451]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+7,43,-0.18518934,0.0027779788,4,-0.1996801020901614,0.0024864258082550324,"[0.003215182434038318, 1.9401320585290848e-09, 1.3409070305155435e-06, 0.005575271421640915, 0.9912082032971581]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+7,44,0.5118622,-0.024860546,1,0.392824477738228,-0.0839010650724529,"[1.6440236538945388e-06, 0.9999982911810648, 9.338154987368034e-20, 6.479528146508285e-08, 9.32363570040344e-18]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+7,45,-0.0018669573,0.3644946,2,-0.11663928851106392,0.32384781611338126,"[0.004251207651366968, 5.783236314631092e-15, 0.9957290227703105, 4.570213986633546e-08, 1.972387617701418e-05]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+7,46,-0.24925767,0.015651966,4,-0.1996801020901614,0.0024864258082550324,"[0.0002527411865241112, 2.2560062452871147e-11, 5.037567639163248e-06, 0.0010354507648572715, 0.9987067704584195]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+7,47,0.2804453,-0.1894261,1,0.392824477738228,-0.0839010650724529,"[0.0028521994221200058, 0.996646091583303, 2.497367963546126e-22, 0.0005017089666960949, 2.7880853133982553e-11]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+7,48,0.37225774,-0.11562894,1,0.392824477738228,-0.0839010650724529,"[0.00020100121927084873, 0.9997807849011365, 1.8462032457000427e-20, 1.821387934603578e-05, 2.466887220177597e-13]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+7,49,0.1460578,0.21914145,0,0.08273747157300083,0.016519931061773654,"[0.9896613361678214, 1.6970866698401977e-06, 0.009784796507530155, 0.00034162335517007845, 0.00021054688280857395]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+7,50,0.07159563,-0.024327766,0,0.08273747157300083,0.016519931061773654,"[0.8901636503602329, 0.002257871709128611, 2.8184356173679406e-09, 0.10151459777048942, 0.006063877341713477]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+7,51,-0.078428976,-0.18954016,3,-0.13817844936362567,-0.24997137110223888,"[0.2575805633232632, 0.000560813346223699, 3.633884205135837e-16, 0.7343559246141715, 0.007502698716341357]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+7,52,-0.23586994,0.37846398,2,-0.11663928851106392,0.32384781611338126,"[8.052247824649297e-08, 3.056600068383197e-23, 0.9999945617750502, 1.3639798648410129e-11, 5.357688831735831e-06]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+7,53,-0.15925287,-0.015642455,4,-0.1996801020901614,0.0024864258082550324,"[0.011292512679665618, 2.4816596300210933e-08, 2.7271114681791247e-07, 0.017453895045218118, 0.9712532947473733]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+7,54,0.38273144,-0.19184409,1,0.392824477738228,-0.0839010650724529,"[3.2541023787730296e-05, 0.9999623816052319, 2.6932950045625356e-25, 5.077370977997786e-06, 2.5088659963231355e-15]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+7,55,-0.029614072,-0.05991212,0,0.08273747157300083,0.016519931061773654,"[0.5749642852051802, 0.00017701880579497535, 1.2497073616097276e-09, 0.2922685251882795, 0.13259016955103808]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+7,56,-0.041920777,-0.1336057,3,-0.13817844936362567,-0.24997137110223888,"[0.4327247638910251, 0.0007097555999891707, 2.738859343263438e-13, 0.5438861494120776, 0.022679331096634146]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+7,57,-0.05421332,-0.22073112,3,-0.13817844936362567,-0.24997137110223888,"[0.2933602774523992, 0.0021694549724746233, 2.4464827745083133e-18, 0.7035283414605852, 0.0009419261145410403]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+7,58,-0.19589648,0.09422963,4,-0.1996801020901614,0.0024864258082550324,"[0.000927728972085411, 9.973172039786649e-12, 0.001904447428487261, 0.0003464565539489047, 0.9968213670355053]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+7,59,0.09615892,0.18102637,0,0.08273747157300083,0.016519931061773654,"[0.9865953373444144, 1.5815402947572852e-06, 0.008386442010206224, 0.0013892940258209774, 0.0036273450792635325]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+7,60,-0.013711061,-0.07216554,0,0.08273747157300083,0.016519931061773654,"[0.6304074644140936, 0.0004480766305007929, 2.1170743588368564e-10, 0.31097527892560073, 0.058169179818097536]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+7,61,0.49365819,-0.019841706,1,0.392824477738228,-0.0839010650724529,"[4.931191687279137e-06, 0.9999948993803304, 6.110584963650168e-19, 1.6942798224255663e-07, 7.622137180661035e-17]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+7,62,-0.096782275,0.2680031,2,-0.11663928851106392,0.32384781611338126,"[0.0011502249470720638, 2.4340514202527327e-14, 0.9938894240753885, 1.035690150350487e-06, 0.004959315287364833]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+7,63,-0.07022652,-0.30347943,3,-0.13817844936362567,-0.24997137110223888,"[0.24084100864227345, 0.003900383188630795, 1.1347152792747367e-23, 0.7552339778767069, 2.4630292388968963e-05]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+7,64,-0.08510746,-0.26066056,3,-0.13817844936362567,-0.24997137110223888,"[0.20629212830192056, 0.001332757012407326, 1.2458876931465495e-20, 0.7920424054941012, 0.0003327091915708632]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+7,65,-0.00251228,0.3769304,2,-0.11663928851106392,0.32384781611338126,"[0.003422837570199646, 2.026154349371771e-15, 0.9965666115998552, 2.333776871427474e-08, 1.0527492174639012e-05]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+7,66,0.42614552,0.08994585,1,0.392824477738228,-0.0839010650724529,"[0.005383412943542223, 0.9945945457555802, 1.3438842704355586e-11, 2.204128324563471e-05, 4.193192611372208e-12]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+7,67,0.25132486,-0.20319358,1,0.392824477738228,-0.0839010650724529,"[0.007442037520883436, 0.991028524064599, 2.031154920384824e-22, 0.0015294382513385335, 1.6317912698104538e-10]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+7,68,-0.18157998,0.03947093,4,-0.1996801020901614,0.0024864258082550324,"[0.0023171089465769523, 3.649177327995271e-10, 2.6209378158497266e-05, 0.002027488154936588, 0.9956291931554102]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+7,69,-0.12251995,-0.049827244,4,-0.1996801020901614,0.0024864258082550324,"[0.07456818197181474, 1.3084829130936634e-06, 1.2684095951233261e-08, 0.10893710755437765, 0.8164933893067984]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+7,70,-0.18423451,0.25213403,2,-0.11663928851106392,0.32384781611338126,"[4.84649007405206e-05, 2.097311714477387e-16, 0.9894803303666211, 2.550021360271578e-07, 0.010470949730502157]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+7,71,-0.04843812,0.4040603,2,-0.11663928851106392,0.32384781611338126,"[0.0003479597877514892, 6.622239815256187e-18, 0.999648982055173, 1.415750750598314e-09, 3.056741324727403e-06]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+7,72,0.25011468,-0.18353273,1,0.392824477738228,-0.0839010650724529,"[0.010653893147108582, 0.9873467639754673, 3.900506110920831e-21, 0.001999342373480191, 5.039438604228684e-10]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+7,73,0.24778247,-0.18444899,1,0.392824477738228,-0.0839010650724529,"[0.011502562067018154, 0.9863098271755035, 3.945953629427462e-21, 0.0021876101725967585, 5.84881288269313e-10]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+7,74,-0.17648138,-0.41862112,3,-0.13817844936362567,-0.24997137110223888,"[0.11123450516263873, 0.0004179148809573286, 2.4862854738312814e-31, 0.8883472387610639, 3.4119533997067556e-07]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+7,75,-0.16704087,-0.3598848,3,-0.13817844936362567,-0.24997137110223888,"[0.0901386974088838, 0.0002942151386212506, 6.372532132985102e-27, 0.9095568576743461, 1.022977814874618e-05]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+7,76,0.61073065,0.018717432,1,0.392824477738228,-0.0839010650724529,"[2.193951756722092e-08, 0.9999999773392149, 8.825736816334846e-21, 7.212676880058042e-10, 8.802661669990618e-22]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+7,77,-0.07488669,0.3827278,2,-0.11663928851106392,0.32384781611338126,"[0.00013895592484013656, 4.583379635477692e-18, 0.9998521975814301, 1.7830070474728283e-09, 8.844710722653846e-06]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+7,78,0.022653038,0.24370801,2,-0.11663928851106392,0.32384781611338126,"[0.27920988973840544, 1.2017621696482288e-09, 0.7097794535004124, 0.00013076002139830677, 0.010879895538021617]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+7,79,0.24368975,0.18879418,0,0.08273747157300083,0.016519931061773654,"[0.9989354099479703, 0.0004799001266591713, 0.00010047262724423821, 0.0004810402957643636, 3.1770023617916355e-06]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+7,80,-0.16938657,-0.05973538,4,-0.1996801020901614,0.0024864258082550324,"[0.017974897301261776, 1.3848195585357668e-07, 5.95448786658887e-09, 0.05935477877800371, 0.9226701794842909]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+7,81,-0.25151917,-0.28693447,3,-0.13817844936362567,-0.24997137110223888,"[0.01984853610760777, 6.1061321064342036e-06, 5.097374550848388e-21, 0.9774332017947234, 0.0027121559655624923]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+7,82,0.04577409,-0.24324691,0,0.08273747157300083,0.016519931061773654,"[0.48748037650881554, 0.08766269499701479, 8.404850534783351e-21, 0.4248450053501377, 1.1923144031887085e-05]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+7,83,-0.22563006,-0.049784996,4,-0.1996801020901614,0.0024864258082550324,"[0.0019491328935084503, 3.1120632745318223e-09, 1.7270809834746253e-08, 0.014066232062228009, 0.9839846146613904]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+7,84,-0.20074943,0.040258985,4,-0.1996801020901614,0.0024864258082550324,"[0.0011166030597585576, 1.0827053150053167e-10, 2.957715361415569e-05, 0.001308577947381102, 0.9975452417309756]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+7,85,-0.1496939,0.30529067,2,-0.11663928851106392,0.32384781611338126,"[2.9958973793770115e-05, 1.416865412564876e-17, 0.999466169856422, 1.7050784286615815e-08, 0.0005038541189999277]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+7,86,0.2630342,0.051892787,0,0.08273747157300083,0.016519931061773654,"[0.7476555346908657, 0.24467405593458866, 7.1875017551433234e-09, 0.007668514120823753, 1.888066220152409e-06]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+7,87,0.61719507,-0.024593957,1,0.392824477738228,-0.0839010650724529,"[4.715813724115855e-09, 0.9999999949632261, 4.8525399613872025e-23, 3.209601425157658e-10, 9.722573014247546e-23]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+7,88,-0.14552048,-0.15470643,3,-0.13817844936362567,-0.24997137110223888,"[0.12325610751711345, 2.4028021806201865e-05, 1.776602958035812e-13, 0.7164124225157952, 0.1603074419451074]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+7,89,0.004352061,-0.07103703,0,0.08273747157300083,0.016519931061773654,"[0.6907829426489185, 0.0008215008099805614, 1.4547743306160038e-10, 0.2769524174730396, 0.03144313892258393]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+7,90,-0.31772932,0.41427824,2,-0.11663928851106392,0.32384781611338126,"[7.237372158981393e-10, 2.9581183290232313e-27, 0.9999996516996006, 1.39146257424301e-13, 3.475765230999355e-07]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+7,91,-0.118134014,0.26676714,2,-0.11663928851106392,0.32384781611338126,"[0.0004833744463139127, 5.77033394331668e-15, 0.994268748569765, 6.05694547518115e-07, 0.005247271289367805]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+7,92,-0.19037005,0.30377576,2,-0.11663928851106392,0.32384781611338126,"[4.931211089113399e-06, 8.224897518597292e-19, 0.99953663395607, 5.529682235845886e-09, 0.00045842930315842815]","[0.010078506041796944, 0.0039301084385898605]",0.17703649366106197,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+7,93,-0.18803668,0.09546091,4,-0.1996801020901614,0.0024864258082550324,"[0.0012485769487806321, 1.537043696938923e-11, 0.002031117995430069, 0.0004004664069716348, 0.9963198386334472]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+7,94,0.32727078,-0.11709024,1,0.392824477738228,-0.0839010650724529,"[0.0014834246113995244, 0.9983753885943387, 2.9789530248960577e-19, 0.0001411867792449314, 1.5016934564436857e-11]","[0.01830432951394131, 0.012389519793163098]",0.19543929189966444,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+7,95,0.3095995,0.5030761,0,0.08273747157300083,0.016519931061773654,"[0.9988038826077563, 8.576347138777707e-11, 0.0011961121242317185, 5.18053925143782e-09, 1.7093854067579267e-12]","[0.013704567544884048, 0.03464655230665849]",0.20580921187183157,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+7,96,-0.26364937,-0.38828564,3,-0.13817844936362567,-0.24997137110223888,"[0.02280515355578789, 1.717263900368155e-05, 2.3600120948898657e-28, 0.9771681363183988, 9.537486809508086e-06]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+7,97,-0.25224024,-0.31188005,3,-0.13817844936362567,-0.24997137110223888,"[0.020281458384177727, 8.691827308809655e-06, 8.962633654662254e-23, 0.9790055781282951, 0.0007042716602182557]","[0.012995679629235733, 0.012504752990176966]",0.17976801969231204,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+7,98,-0.30068702,-0.14781809,4,-0.1996801020901614,0.0024864258082550324,"[0.0021939634714877726, 1.659632264840416e-08, 2.698692135462876e-12, 0.16602078632785575, 0.8317852336016351]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+7,99,-0.09486352,0.005280091,4,-0.1996801020901614,0.0024864258082550324,"[0.08810755947531589, 4.805835925500149e-07, 1.4598863005129742e-06, 0.03943174892118417, 0.8724587511336069]","[0.006921602113882397, 0.005827054212253863]",0.24194698287513,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+8,0,0.08799766,-0.06060414,0,0.040549653809559626,0.01960725566245699,"[0.8302084352226378, 0.0062258137128953055, 2.2110274229426118e-11, 0.1635607705710611, 4.980471295642239e-06]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+8,1,-0.08406016,0.2851326,2,-0.0929522627625797,0.3325470294663321,"[0.001197809808181474, 8.279296318511602e-16, 0.9969814551276298, 4.972516716804048e-10, 0.0018207345669360696]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+8,2,-0.16364236,-0.11411294,4,-0.22277274633914645,0.00022583470936325936,"[0.40208186605953866, 5.157685119666026e-07, 2.337324803688525e-10, 0.16419899458892098, 0.43371862334929595]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+8,3,0.07371062,-0.27021888,3,-0.1122552559510126,-0.2630561550953563,"[0.014388752627308436, 0.14851537256461902, 4.95590602319237e-23, 0.837095873442339, 1.3657334520293562e-09]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+8,4,-0.1284643,0.3103237,2,-0.0929522627625797,0.3325470294663321,"[8.400363543678723e-05, 1.830477649489986e-18, 0.9992311251690691, 1.0641840071147752e-11, 0.0006848711848525223]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+8,5,-0.23808402,0.26056772,2,-0.0929522627625797,0.3325470294663321,"[2.678364028752705e-05, 2.863156267626102e-20, 0.9939149276745648, 1.9938820583586403e-11, 0.006058288665208969]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+8,6,-0.10493148,-0.30384988,3,-0.1122552559510126,-0.2630561550953563,"[0.014186681877128049, 0.0004128692828916761, 3.5003207755041067e-22, 0.985389693270424, 1.0755569556313772e-05]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+8,7,-0.295713,-0.42771262,3,-0.1122552559510126,-0.2630561550953563,"[0.0014430523735476032, 2.2151181754259713e-06, 3.777926024261139e-27, 0.9985521562424251, 2.576265851832587e-06]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+8,8,-0.3188932,-0.023905918,4,-0.22277274633914645,0.00022583470936325936,"[0.007612073749021442, 1.6250712803369258e-13, 8.434151161204897e-06, 0.0001483196919078173, 0.9922311724077469]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+8,9,0.52375084,0.03593809,1,0.4005834145426374,-0.08249288779183311,"[6.585662171752935e-05, 0.9999250396314662, 1.8811508303027798e-16, 9.103746815902094e-06, 2.217361284121322e-29]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+8,10,-0.24769914,0.06194072,4,-0.22277274633914645,0.00022583470936325936,"[0.007214565160140028, 7.86888984729632e-14, 0.0007450816317839207, 9.055653320692332e-06, 0.9920312975546766]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+8,11,0.45866024,0.07679337,1,0.4005834145426374,-0.08249288779183311,"[0.00394873039422702, 0.9959687123201912, 1.4980809307163317e-12, 8.255728408370711e-05, 1.3235878561785983e-23]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+8,12,-0.21952832,-0.2596673,3,-0.1122552559510126,-0.2630561550953563,"[0.05130382173463168, 2.426652635448246e-06, 2.2401678486323302e-17, 0.9415398173282133, 0.0071539342845193]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+8,13,0.5387558,-0.021885695,1,0.4005834145426374,-0.08249288779183311,"[5.252733948189762e-06, 0.9999894355417875, 5.251005541457718e-20, 5.311724264307896e-06, 8.865756526829892e-32]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+8,14,-0.31746334,-0.03755091,4,-0.22277274633914645,0.00022583470936325936,"[0.009444159303795923, 4.052453754994829e-13, 2.8927906631733412e-06, 0.0002843728632723007, 0.9902685750418634]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+8,15,0.21572201,0.15297481,0,0.040549653809559626,0.01960725566245699,"[0.9993106603966413, 0.00036637998483975603, 4.5437861689780583e-05, 0.0002775194224729978, 2.3343562586522975e-09]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+8,16,-0.17784788,-0.16018736,3,-0.1122552559510126,-0.2630561550953563,"[0.32489152461343496, 1.5469133435342912e-06, 2.5117462095546436e-12, 0.4760721835895713, 0.19903474488113834]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+8,17,0.12485067,-0.17534988,3,-0.1122552559510126,-0.2630561550953563,"[0.0997946880603351, 0.26280216385256466, 5.071432254245357e-18, 0.6374031449436758, 3.143424450151167e-09]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+8,18,-0.045080878,-0.32160506,3,-0.1122552559510126,-0.2630561550953563,"[0.007881416022209974, 0.004784877196085897, 2.2912702605006954e-24, 0.9873335097663265, 1.9701537751515965e-07]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+8,19,-0.29219365,-0.1354431,4,-0.22277274633914645,0.00022583470936325936,"[0.06852957190418317, 7.577845058303262e-10, 5.646433692115109e-10, 0.04053022734009475, 0.8909401994332943]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+8,20,0.22983314,0.005944166,0,0.040549653809559626,0.01960725566245699,"[0.7787426458820457, 0.1826679580642973, 1.757428353132777e-10, 0.03858939576333075, 1.1458337418228819e-10]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+8,21,-0.2313607,0.15489271,4,-0.22277274633914645,0.00022583470936325936,"[0.004241994162645978, 1.1965890479043515e-15, 0.2140838050970502, 1.9531590638843647e-07, 0.7816740054243962]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+8,22,0.44196302,-0.22339565,1,0.4005834145426374,-0.08249288779183311,"[3.6676890336729973e-07, 0.9999451224078912, 1.0269504998196152e-29, 5.451082320542472e-05, 2.4899540855019127e-29]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+8,23,0.31953293,-0.23248373,1,0.4005834145426374,-0.08249288779183311,"[2.6666629622513823e-05, 0.9977770628881237, 5.957534152787461e-27, 0.0021962704822537206, 2.4590679253512213e-21]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+8,24,0.0025802255,-0.08199731,0,0.040549653809559626,0.01960725566245699,"[0.7897638301864343, 0.00036122318979292116, 3.814242766710219e-11, 0.20905318111875787, 0.000821765466872305]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+8,25,0.023439856,-0.079839304,0,0.040549653809559626,0.01960725566245699,"[0.7872405468706387, 0.00080650738678446, 2.3987316109483488e-11, 0.2117090859396382, 0.00024385977895141622]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+8,26,-0.06371302,0.3954228,2,-0.0929522627625797,0.3325470294663321,"[1.6492993040288845e-05, 1.333750753436512e-19, 0.9999789175062275, 6.557369395215103e-14, 4.58950066654032e-06]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+8,27,-0.2963673,0.015343715,4,-0.22277274633914645,0.00022583470936325936,"[0.005652005204063609, 5.539749697559721e-14, 7.978201119959784e-05, 3.163623213917802e-05, 0.9942365765525423]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+8,28,0.08612508,0.3898904,2,-0.0929522627625797,0.3325470294663321,"[0.001449390413984016, 2.940796910083983e-14, 0.998550541016213, 1.3767384288996629e-11, 6.85560061214875e-08]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+8,29,-0.20296153,0.2345368,2,-0.0929522627625797,0.3325470294663321,"[0.00036577845560349735, 8.365108304835712e-18, 0.9607716314600323, 8.359994668888922e-10, 0.03886258924836462]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+8,30,-0.3021013,-0.23802479,3,-0.1122552559510126,-0.2630561550953563,"[0.08678386586094423, 5.0846579559937456e-08, 1.281575124389264e-14, 0.8123597935323391, 0.10085628976012442]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+8,31,0.40233114,0.06031101,1,0.4005834145426374,-0.08249288779183311,"[0.022332030182062798, 0.977123881510209, 7.569472238911694e-12, 0.0005440883001587392, 6.827251534999094e-20]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+8,32,-0.31179968,-0.050893012,4,-0.22277274633914645,0.00022583470936325936,"[0.01225941277539042, 1.2616747973239824e-12, 8.839843383561416e-07, 0.0005649672328469543, 0.9871747360061627]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+8,33,0.11298243,0.035079706,0,0.040549653809559626,0.01960725566245699,"[0.9893028319782465, 0.0004781311689370663, 7.77749030561764e-08, 0.010214874582997078, 4.084494916191791e-06]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+8,34,-0.23456638,0.06657637,4,-0.22277274633914645,0.00022583470936325936,"[0.00898974006264897, 1.4674731139186403e-13, 0.0008284852149715498, 9.859885038235963e-06, 0.9901719148371947]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+8,35,0.11017645,-0.16371755,3,-0.1122552559510126,-0.2630561550953563,"[0.1588833720780159, 0.15088612242041005, 4.65685540018652e-17, 0.6902304849236983, 2.0577875669344835e-08]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+8,36,0.1429859,0.059452157,0,0.040549653809559626,0.01960725566245699,"[0.9941223349244173, 0.0006656806836515615, 2.5337944740401964e-07, 0.005211197781120279, 5.3323136330911e-07]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+8,37,-0.040502112,0.02318828,0,0.040549653809559626,0.01960725566245699,"[0.9368883713946831, 8.203606077318925e-07, 3.0906505989477672e-06, 0.007632360794925625, 0.05547535679918462]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+8,38,-0.06471333,0.08954511,0,0.040549653809559626,0.01960725566245699,"[0.7160173024561282, 1.1427025506227527e-08, 0.0011360135291393204, 0.0005544812993192823, 0.2822921912883878]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+8,39,0.06407858,0.09707585,0,0.040549653809559626,0.01960725566245699,"[0.9987114438714584, 4.134966913889465e-06, 5.091985109890276e-05, 0.0009770610050236115, 0.0002564403055051473]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+8,40,-0.021407472,0.09407413,0,0.040549653809559626,0.01960725566245699,"[0.9554457711961715, 9.164428825291073e-08, 0.0005346967849487993, 0.0007350029330524272, 0.043284437441539016]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+8,41,-0.056248758,0.025906589,0,0.040549653809559626,0.01960725566245699,"[0.8755409686436496, 3.3572573201580005e-07, 6.100181612867494e-06, 0.006171973534943566, 0.11828062191406198]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+8,42,-0.15132618,0.02146309,4,-0.22277274633914645,0.00022583470936325936,"[0.12974901597118685, 8.025728036547888e-10, 1.557371579731853e-05, 0.0007969263380792635, 0.8694384831723636]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+8,43,-0.18518934,0.0027779788,4,-0.22277274633914645,0.00022583470936325936,"[0.06093103845779585, 1.842484027090417e-10, 4.861464076981402e-06, 0.000636955248658512, 0.9384271446452204]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+8,44,0.5118622,-0.024860546,1,0.4005834145426374,-0.08249288779183311,"[1.3749744681303489e-05, 0.9999739391105792, 1.8292993493557601e-19, 1.2311144739392825e-05, 9.336110569855818e-30]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+8,45,-0.0018669573,0.3644946,2,-0.0929522627625797,0.3325470294663321,"[0.00034932117439640903, 3.00352874791531e-16, 0.9996453131771568, 6.847492288175656e-12, 5.365641599146257e-06]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+8,46,-0.24925767,0.015651966,4,-0.22277274633914645,0.00022583470936325936,"[0.011599844060333937, 1.0137662548499824e-12, 2.87546897014105e-05, 6.945374388422516e-05, 0.9883019475050665]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+8,47,0.2804453,-0.1894261,1,0.4005834145426374,-0.08249288779183311,"[0.0004860918890854463, 0.989163831969928, 5.2195531815561736e-23, 0.01035007614098655, 9.096436118596116e-18]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+8,48,0.37225774,-0.11562894,1,0.4005834145426374,-0.08249288779183311,"[0.00016265974533816386, 0.9990332838149464, 5.6194716127027294e-21, 0.0008040564397153896, 8.529317010093416e-22]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+8,49,0.1460578,0.21914145,0,0.040549653809559626,0.01960725566245699,"[0.9768518034224011, 8.923725713351662e-07, 0.023131110365341014, 1.5119141319105024e-05, 1.0746983674668993e-06]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+8,50,0.07159563,-0.024327766,0,0.040549653809559626,0.01960725566245699,"[0.9432863055560579, 0.0008303621746772632, 1.3025192037289394e-09, 0.055850080005398164, 3.325096134755088e-05]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+8,51,-0.078428976,-0.18954016,3,-0.1122552559510126,-0.2630561550953563,"[0.18991290382433548, 0.0002021417498206665, 1.5999796580457879e-15, 0.8086518218693742, 0.001233132556468077]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+8,52,-0.23586994,0.37846398,2,-0.0929522627625797,0.3325470294663321,"[1.3058343987570682e-07, 3.472439536860772e-25, 0.9999863904886647, 6.689803159572871e-16, 1.3478927894652312e-05]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+8,53,-0.15925287,-0.015642455,4,-0.22277274633914645,0.00022583470936325936,"[0.15805776834615726, 3.5309852513001767e-09, 9.862347780222409e-07, 0.0031967943733404018, 0.8387444475147389]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+8,54,0.38273144,-0.19184409,1,0.4005834145426374,-0.08249288779183311,"[8.971946737615866e-06, 0.9996016456913742, 4.752164903497405e-26, 0.00038938236188817895, 2.0869792939101357e-24]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+8,55,-0.029614072,-0.05991212,0,0.040549653809559626,0.01960725566245699,"[0.8850360807874991, 4.110282778174039e-05, 1.0678001004007518e-09, 0.10653677769438653, 0.008386037622532696]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+8,56,-0.041920777,-0.1336057,3,-0.1122552559510126,-0.2630561550953563,"[0.49379749076130525, 0.00026688940868922783, 5.271628323254472e-13, 0.5038909558812298, 0.0020446639482485244]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+8,57,-0.05421332,-0.22073112,3,-0.1122552559510126,-0.2630561550953563,"[0.08727127349274567, 0.0008519296141224693, 8.806486918528957e-18, 0.911799793401798, 7.700349133396313e-05]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+8,58,-0.19589648,0.09422963,4,-0.22277274633914645,0.00022583470936325936,"[0.017885158063331463, 4.983781314346454e-13, 0.0034543888523789305, 8.088219410767305e-06, 0.9786523648643803]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+8,59,0.09615892,0.18102637,0,0.040549653809559626,0.01960725566245699,"[0.9917613151832723, 4.738056920409627e-07, 0.00814192620569274, 5.1936536607629315e-05, 4.4348268735304026e-05]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+8,60,-0.013711061,-0.07216554,0,0.040549653809559626,0.01960725566245699,"[0.8413585961514445, 0.0001283869755819656, 1.8274515505365715e-10, 0.15583710674278145, 0.0026759099474469718]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+8,61,0.49365819,-0.019841706,1,0.4005834145426374,-0.08249288779183311,"[3.342608150676065e-05, 0.9999444067799808, 1.0688979516325064e-18, 2.216713851256245e-05, 2.929709436249333e-28]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+8,62,-0.096782275,0.2680031,2,-0.0929522627625797,0.3325470294663321,"[0.0019653952045401526, 1.6667022476941294e-15, 0.9925898254951038, 1.5760666511346501e-09, 0.0054447777242877535]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+8,63,-0.07022652,-0.30347943,3,-0.1122552559510126,-0.2630561550953563,"[0.012938848043933485, 0.001491671651059905, 9.495505672595785e-23, 0.9855674108489558, 2.0694560508878e-06]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+8,64,-0.08510746,-0.26066056,3,-0.1122552559510126,-0.2630561550953563,"[0.03696276021475815, 0.0004686941098837475, 9.542389289378167e-20, 0.9625233321915372, 4.521348382078075e-05]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+8,65,-0.00251228,0.3769304,2,-0.0929522627625797,0.3325470294663321,"[0.00020536952056564013, 9.288786454764965e-17, 0.9997916944027867, 2.333155514014581e-12, 2.9360743141657867e-06]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+8,66,0.42614552,0.08994585,1,0.4005834145426374,-0.08249288779183311,"[0.024293766497307776, 0.9754532778773416, 5.547465528399001e-11, 0.00025295556987566816, 5.636159896449885e-21]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+8,67,0.25132486,-0.20319358,1,0.4005834145426374,-0.08249288779183311,"[0.0009331433547556051, 0.9749441050521032, 4.578604744595778e-23, 0.024122751593140916, 2.1879910072133465e-16]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+8,68,-0.18157998,0.03947093,4,-0.22277274633914645,0.00022583470936325936,"[0.04396125833250996, 2.995269353519289e-11, 6.882105184384941e-05, 0.00013689418224786153, 0.9558330264034458]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+8,69,-0.12251995,-0.049827244,0,0.040549653809559626,0.01960725566245699,"[0.529242749809078, 2.7100910803773006e-07, 3.9251451928947095e-08, 0.034756321977738105, 0.43600061795262374]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+8,70,-0.18423451,0.25213403,2,-0.0929522627625797,0.3325470294663321,"[0.0002638708034176336, 6.3944970020476665e-18, 0.9832606190552425, 3.125552929746552e-10, 0.01647550982878463]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+8,71,-0.04843812,0.4040603,2,-0.0929522627625797,0.3325470294663321,"[1.8878592202615865e-05, 2.1545672130403092e-19, 0.9999788142821299, 5.4000217332764945e-14, 2.3071256135422425e-06]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+8,72,0.25011468,-0.18353273,1,0.4005834145426374,-0.08249288779183311,"[0.0018970779752846792, 0.969160188350221, 9.384259224421717e-22, 0.028942733674493345, 8.486433541484189e-16]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+8,73,0.24778247,-0.18444899,1,0.4005834145426374,-0.08249288779183311,"[0.002009838980161888, 0.9669795858670978, 9.562784718551565e-22, 0.0310105751527394, 1.1004047289857332e-15]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+8,74,-0.17648138,-0.41862112,3,-0.1122552559510126,-0.2630561550953563,"[0.0014218942371092243, 0.00017033209401242535, 1.0923666065848341e-28, 0.9984075264232967, 2.472455815139411e-07]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+8,75,-0.16704087,-0.3598848,3,-0.1122552559510126,-0.2630561550953563,"[0.004726850586279251, 9.3702389161641e-05, 8.070220139272016e-25, 0.9951739353484107, 5.511676148480039e-06]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+8,76,0.61073065,0.018717432,1,0.4005834145426374,-0.08249288779183311,"[1.1580649080224594e-06, 0.9999982576800551, 1.2334235929648992e-19, 5.84255036961096e-07, 9.621886062600407e-37]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+8,77,-0.07488669,0.3827278,2,-0.0929522627625797,0.3325470294663321,"[1.9149806423630983e-05, 1.6619531651607499e-19, 0.9999707492280192, 1.2836455958687032e-13, 1.0100965428655292e-05]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+8,78,0.022653038,0.24370801,2,-0.0929522627625797,0.3325470294663321,"[0.22807138737406185, 2.0357157631472783e-10, 0.7704806011650281, 7.55523097143805e-07, 0.0014472557342412634]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+8,79,0.24368975,0.18879418,0,0.040549653809559626,0.01960725566245699,"[0.9993621799136824, 0.000292638536356314, 0.00025996344846396783, 8.521789824983135e-05, 2.0324739840601466e-10]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+8,80,-0.16938657,-0.05973538,4,-0.22277274633914645,0.00022583470936325936,"[0.2116066128110243, 2.0575627651378903e-08, 3.232552087410081e-08, 0.016703191581261365, 0.7716901427065659]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+8,81,-0.25151917,-0.28693447,3,-0.1122552559510126,-0.2630561550953563,"[0.028670647811219516, 1.0670945176802609e-06, 1.5707478378240383e-18, 0.9677689233772301, 0.0035593617170328333]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+8,82,0.04577409,-0.24324691,3,-0.1122552559510126,-0.2630561550953563,"[0.03455328359663103, 0.04491617930637599, 8.075980164301229e-21, 0.9205304878151315, 4.9281861519879544e-08]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+8,83,-0.22563006,-0.049784996,4,-0.22277274633914645,0.00022583470936325936,"[0.04726176832846298, 2.364911942078561e-10, 1.436950929852141e-07, 0.0024223807738907167, 0.9503157069660623]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+8,84,-0.20074943,0.040258985,4,-0.22277274633914645,0.00022583470936325936,"[0.025936371064420597, 6.997236848104022e-12, 8.568814432364767e-05, 7.522629401690077e-05, 0.9739027144902416]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+8,85,-0.1496939,0.30529067,2,-0.0929522627625797,0.3325470294663321,"[5.393664990481331e-05, 5.194510154453493e-19, 0.9989913287829393, 7.92841044426544e-12, 0.0009547345592276754]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+8,86,0.2630342,0.051892787,0,0.040549653809559626,0.01960725566245699,"[0.8485827332814535, 0.14031446465456157, 4.349529469993656e-09, 0.011102797704989571, 9.465832346629416e-12]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+8,87,0.61719507,-0.024593957,1,0.4005834145426374,-0.08249288779183311,"[2.263730740829896e-07, 0.9999992912253279, 3.5770161778707347e-22, 4.824015979240983e-07, 3.4569394556729744e-38]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+8,88,-0.14552048,-0.15470643,3,-0.1122552559510126,-0.2630561550953563,"[0.38492267092858284, 5.874213644350533e-06, 1.6444188042317404e-12, 0.5235552728906283, 0.09151618196550007]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+8,89,0.004352061,-0.07103703,0,0.040549653809559626,0.01960725566245699,"[0.8382674037781281, 0.0002661726154352277, 1.1276192842479587e-10, 0.16049934493848603, 0.0009670785551887164]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+8,90,-0.31772932,0.41427824,2,-0.0929522627625797,0.3325470294663321,"[2.181568402065231e-09, 1.1053440968302051e-29, 0.9999995359315796, 1.939095145478238e-18, 4.6188685196318967e-07]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+8,91,-0.118134014,0.26676714,2,-0.0929522627625797,0.3325470294663321,"[0.0010607440781277547, 3.3269033747930165e-16, 0.9919684430179554, 8.363710266468629e-10, 0.0069708120675457475]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+8,92,-0.19037005,0.30377576,2,-0.0929522627625797,0.3325470294663321,"[1.5195329948304961e-05, 2.0228848667421874e-20, 0.9990479898174158, 2.1348880740773246e-12, 0.0009368148505010669]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+8,93,-0.18803668,0.09546091,4,-0.22277274633914645,0.00022583470936325936,"[0.02194087513657179, 8.374133217814671e-13, 0.003526303952095353, 9.675263610404494e-06, 0.9745231456468851]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+8,94,0.32727078,-0.11709024,1,0.4005834145426374,-0.08249288779183311,"[0.0009079317200211043, 0.9956032981274603, 8.521105946664005e-20, 0.0034887701525185906, 7.227313047460042e-19]","[0.016747273100641665, 0.012195325842546791]",0.18894414332091172,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+8,95,0.3095995,0.5030761,2,-0.0929522627625797,0.3325470294663321,"[0.007451374703521846, 4.776503443661257e-11, 0.992548625247293, 1.419983359867744e-12, 2.966497110354394e-16]","[0.018748884194264525, 0.005451341070140449]",0.18954473287496063,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+8,96,-0.26364937,-0.38828564,3,-0.1122552559510126,-0.2630561550953563,"[0.003084437466219521, 3.7672868918357813e-06, 5.167916231367724e-25, 0.9968966743140808, 1.5120932807711449e-05]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+8,97,-0.25224024,-0.31188005,3,-0.1122552559510126,-0.2630561550953563,"[0.016172431777346015, 1.5843992162455669e-06, 4.010760779243688e-20, 0.9829051587834382, 0.0009208250399995523]","[0.01658360378403587, 0.00939948677876349]",0.1971253698630419,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+8,98,-0.30068702,-0.14781809,4,-0.22277274633914645,0.00022583470936325936,"[0.07794033893613062, 1.0160669763920423e-09, 2.457159408265918e-10, 0.06476829434254094, 0.8572913654595454]","[0.004427721180475497, 0.00605833200652028]",0.20184237391510332,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+8,99,-0.09486352,0.005280091,0,0.040549653809559626,0.01960725566245699,"[0.6157109111840974, 1.0111671713300119e-07, 2.6302351587354945e-06, 0.00756920334848453, 0.37671715411554213]","[0.01592259814405513, 0.012367955019299335]",0.2225433800259823,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+9,0,0.08799766,-0.06060414,0,0.05848115929280148,0.01166383457759367,"[0.9220667504254502, 0.012847553069314422, 2.2989488343768234e-11, 0.06445856612662317, 0.0006271303556228551]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+9,1,-0.08406016,0.2851326,2,-0.11681432644787078,0.3248438774830968,"[0.0021769871389246027, 1.9986569791501255e-14, 0.9949229769694313, 1.626391906785675e-11, 0.002900035875360219]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+9,2,-0.16364236,-0.11411294,4,-0.20691720368450753,-0.004029014381643935,"[0.1749767174049001, 2.6347478969977545e-06, 1.49893446373477e-11, 0.0843311041606618, 0.7406895436715516]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+9,3,0.07371062,-0.27021888,3,-0.13361257096747306,-0.27899371683895335,"[0.22748332959090992, 0.21026358203723353, 1.4403531502489444e-23, 0.5622515021296729, 1.5862421837019919e-06]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+9,4,-0.1284643,0.3103237,2,-0.11681432644787078,0.3248438774830968,"[0.0001653488535653953, 7.516822530297538e-17, 0.9988965537072421, 2.5062131278979387e-13, 0.0009380974389421321]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+9,5,-0.23808402,0.26056772,2,-0.11681432644787078,0.3248438774830968,"[1.5595320239201096e-05, 3.3097601148395593e-18, 0.9897654543836842, 9.34100000123515e-13, 0.010218950295142465]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+9,6,-0.10493148,-0.30384988,3,-0.13361257096747306,-0.27899371683895335,"[0.173289040560288, 0.0008571298547752502, 4.771738118175834e-24, 0.8256252612364124, 0.00022856834852423918]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+9,7,-0.295713,-0.42771262,3,-0.13361257096747306,-0.27899371683895335,"[0.05691896081758478, 7.255533302903092e-06, 6.036202650013846e-32, 0.9430560406500478, 1.774299906452854e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+9,8,-0.3188932,-0.023905918,4,-0.20691720368450753,-0.004029014381643935,"[0.0004889871827666459, 5.173503112319385e-12, 2.187595821729278e-07, 5.406597626247827e-05, 0.9994567280762152]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+9,9,0.52375084,0.03593809,1,0.39400268802779437,-0.08268788259142047,"[8.50762867173252e-06, 0.9999908654935773, 1.659639297045367e-17, 6.268777511066913e-07, 4.1556003502242477e-20]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+9,10,-0.24769914,0.06194072,4,-0.20691720368450753,-0.004029014381643935,"[0.000990641909908706, 2.6029215009903384e-12, 0.00016071378782466953, 2.318320832167886e-06, 0.9988463259788314]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+9,11,0.45866024,0.07679337,1,0.39400268802779437,-0.08268788259142047,"[0.0008557311331746949, 0.9991382349036221, 1.7257275048487798e-13, 6.033963030165458e-06, 3.94681763139294e-16]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+9,12,-0.21952832,-0.2596673,3,-0.13361257096747306,-0.27899371683895335,"[0.11367534724532442, 1.0898585666497399e-05, 7.752907557702461e-20, 0.8638773534019887, 0.02243640076702047]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+9,13,0.5387558,-0.021885695,1,0.39400268802779437,-0.08268788259142047,"[6.911058487618934e-07, 0.9999989049401706, 7.73393346633844e-21, 4.0395398077491767e-07, 1.105066070398506e-21]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+9,14,-0.31746334,-0.03755091,4,-0.20691720368450753,-0.004029014381643935,"[0.00065658445723002, 1.1770388946840568e-11, 6.324521256813175e-08, 0.00011297806071676056, 0.9992303742250702]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+9,15,0.21572201,0.15297481,0,0.05848115929280148,0.01166383457759367,"[0.9990891369431258, 0.0008537220252678356, 2.7228345832529888e-05, 2.820152672400514e-05, 1.7111590498391458e-06]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+9,16,-0.17784788,-0.16018736,4,-0.20691720368450753,-0.004029014381643935,"[0.23218190075896564, 7.967982989907654e-06, 8.221189273767935e-14, 0.32661605330379434, 0.44119407795416776]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+9,17,0.12485067,-0.17534988,1,0.39400268802779437,-0.08268788259142047,"[0.3413055240552977, 0.3511595265019266, 3.924075103842446e-18, 0.30753069893336804, 4.250509407701021e-06]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+9,18,-0.045080878,-0.32160506,3,-0.13361257096747306,-0.27899371683895335,"[0.20556954806726926, 0.007848120018319216, 6.865623713994279e-26, 0.7865640350366778, 1.829687773365868e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+9,19,-0.29219365,-0.1354431,4,-0.20691720368450753,-0.004029014381643935,"[0.01226715641913352, 9.531800890350205e-09, 3.86550374873381e-12, 0.024722443940165265, 0.963010390105035]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+9,20,0.22983314,0.005944166,0,0.05848115929280148,0.01166383457759367,"[0.6824686052581642, 0.30789487777982505, 2.235782744556033e-10, 0.009635893185775159, 6.235526571031624e-07]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+9,21,-0.2313607,0.15489271,4,-0.20691720368450753,-0.004029014381643935,"[0.0009601435901246544, 6.195330292350605e-14, 0.11886125980907422, 2.4724400622200428e-08, 0.8801785718763386]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+9,22,0.44196302,-0.22339565,1,0.39400268802779437,-0.08268788259142047,"[8.88104322335518e-07, 0.9999908617247871, 1.3728849542315977e-29, 8.250170890563377e-06, 7.622374400078105e-20]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+9,23,0.31953293,-0.23248373,1,0.39400268802779437,-0.08268788259142047,"[0.00015929045802393389, 0.9992269212301459, 8.987707609634553e-27, 0.0006137883118116418, 1.8329684160055706e-14]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+9,24,0.0025802255,-0.08199731,0,0.05848115929280148,0.01166383457759367,"[0.8728183234322393, 0.0010758385352417814, 2.377560420411457e-11, 0.10821685241932112, 0.017888985589422236]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+9,25,0.023439856,-0.079839304,0,0.05848115929280148,0.01166383457759367,"[0.8877515485299707, 0.0021237954860585336, 1.690682674202385e-11, 0.1022392782287467, 0.00788537773831703]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+9,26,-0.06371302,0.3954228,2,-0.11681432644787078,0.3248438774830968,"[0.0003015545384752823, 7.705162423662781e-18, 0.9996822243166953, 9.21137904989559e-16, 1.6221144828531074e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+9,27,-0.2963673,0.015343715,4,-0.20691720368450753,-0.004029014381643935,"[0.0004474028162477278, 1.968213214413829e-12, 5.227177029439139e-06, 9.88024394530619e-06, 0.9995374897608094]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+9,28,0.08612508,0.3898904,2,-0.11681432644787078,0.3248438774830968,"[0.09691040497782007, 1.2648942635773566e-12, 0.903086403782842, 5.934508972604007e-13, 3.1912374796458628e-06]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+9,29,-0.20296153,0.2345368,2,-0.11681432644787078,0.3248438774830968,"[0.00020373852308503353, 5.456347217127174e-16, 0.9487143526875785, 5.119956650235993e-11, 0.05108190873813631]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+9,30,-0.3021013,-0.23802479,3,-0.13361257096747306,-0.27899371683895335,"[0.059856491815821096, 4.494771934807186e-07, 1.260350785152717e-17, 0.7568879815424105, 0.18325507716457481]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+9,31,0.40233114,0.06031101,1,0.39400268802779437,-0.08268788259142047,"[0.006929361636469173, 0.9930198094774065, 1.8600529048291632e-12, 5.082888409832145e-05, 1.6576887995742103e-13]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+9,32,-0.31179968,-0.050893012,4,-0.20691720368450753,-0.004029014381643935,"[0.0009840891920304682, 3.259044063410622e-11, 1.7601623472777796e-08, 0.00024630071403887953, 0.9987695924597167]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+9,33,0.11298243,0.035079706,0,0.05848115929280148,0.01166383457759367,"[0.994840624830039, 0.0014928622895259496, 1.2127306088143647e-07, 0.003145938943313664, 0.0005204526640608161]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+9,34,-0.23456638,0.06657637,4,-0.20691720368450753,-0.004029014381643935,"[0.0014063535951240878, 4.4641886012891474e-12, 0.00021486080770003979, 2.4758407810644314e-06, 0.9983763097519305]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+9,35,0.11017645,-0.16371755,0,0.05848115929280148,0.01166383457759367,"[0.45562956657349124, 0.21186654400743235, 3.4264318482890755e-17, 0.33248895691901315, 1.4932500063025536e-05]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+9,36,0.1429859,0.059452157,0,0.05848115929280148,0.01166383457759367,"[0.9965879534958755, 0.00195766807424138, 3.748180517334531e-07, 0.0013306103576318572, 0.0001233932541992588]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+9,37,-0.040502112,0.02318828,0,0.05848115929280148,0.01166383457759367,"[0.663541971318077, 5.690990087250439e-06, 3.177023020291821e-06, 0.003080154531684778, 0.3333690061371306]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+9,38,-0.06471333,0.08954511,4,-0.20691720368450753,-0.004029014381643935,"[0.3332260527978819, 9.005584285764988e-08, 0.0009825427943559902, 0.0001067862833256798, 0.6656845280685936]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+9,39,0.06407858,0.09707585,0,0.05848115929280148,0.01166383457759367,"[0.9930155693085999, 2.0507513664510807e-05, 7.748344453901152e-05, 0.00022282794848291744, 0.006663611784713703]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+9,40,-0.021407472,0.09407413,0,0.05848115929280148,0.01166383457759367,"[0.7509024280798134, 7.610386928999562e-07, 0.0007458131346672987, 0.00018605294772275618, 0.24816494479910353]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+9,41,-0.056248758,0.025906589,0,0.05848115929280148,0.01166383457759367,"[0.5063345779069081, 2.2928514570404057e-06, 5.135598596573359e-06, 0.0021833470742697175, 0.49147464656876855]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+9,42,-0.15132618,0.02146309,4,-0.20691720368450753,-0.004029014381643935,"[0.03086988097947985, 7.454765717461691e-09, 4.600334545398565e-06, 0.0002143184562500726, 0.968911192774959]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+9,43,-0.18518934,0.0027779788,4,-0.20691720368450753,-0.004029014381643935,"[0.012918410537029164, 2.2233951856697466e-09, 9.742634741051322e-07, 0.00021179566524685562, 0.9868688173108547]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+9,44,0.5118622,-0.024860546,1,0.39400268802779437,-0.08268788259142047,"[2.4015812560122847e-06, 0.9999965116005907, 3.817748811983856e-20, 1.0868181531592384e-06, 2.6959424030402917e-20]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+9,45,-0.0018669573,0.3644946,2,-0.11681432644787078,0.3248438774830968,"[0.005494987162104989, 1.0155667493172409e-14, 0.9944708167385138, 1.7501350364923862e-13, 3.419609919609438e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+9,46,-0.24925767,0.015651966,4,-0.20691720368450753,-0.004029014381643935,"[0.0015905584533592674, 2.5694729901080686e-11, 3.725024987441134e-06, 2.4200346771900317e-05, 0.9983815161491866]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+9,47,0.2804453,-0.1894261,1,0.39400268802779437,-0.08268788259142047,"[0.0016747480674813642, 0.9951329340316768, 7.265990605359451e-23, 0.0031923178956686626, 5.173292629110613e-12]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+9,48,0.37225774,-0.11562894,1,0.39400268802779437,-0.08268788259142047,"[0.0001568784884347888, 0.9996825732327084, 6.345817139905007e-21, 0.00016054827884793874, 8.960081419080636e-15]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+9,49,0.1460578,0.21914145,0,0.05848115929280148,0.01166383457759367,"[0.9917945791105519, 2.0819535860392237e-06, 0.008159717414309544, 5.871153834046361e-07, 4.303440616898604e-05]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+9,50,0.07159563,-0.024327766,0,0.05848115929280148,0.01166383457759367,"[0.9727408336027639, 0.0023770802527718587, 1.6346764448786548e-09, 0.022600569243650028, 0.0022815152661377143]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+9,51,-0.078428976,-0.18954016,3,-0.13361257096747306,-0.27899371683895335,"[0.4077238202677378, 0.0005563393548506253, 1.544917464020463e-16, 0.5782454207464397, 0.01347441963097178]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+9,52,-0.23586994,0.37846398,2,-0.11681432644787078,0.3248438774830968,"[3.5444744277706383e-07, 6.712374583588619e-23, 0.9999668492904612, 5.874981969249117e-18, 3.2796262095961913e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+9,53,-0.15925287,-0.015642455,4,-0.20691720368450753,-0.004029014381643935,"[0.03794924710730159, 2.8029954149808178e-08, 1.9057820451163323e-07, 0.0010374788085519388, 0.9610130554759878]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+9,54,0.38273144,-0.19184409,1,0.39400268802779437,-0.08268788259142047,"[2.0798681032323095e-05, 0.9998973208572318, 6.859077351231199e-26, 8.188046173565647e-05, 1.5291476417376132e-16]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+9,55,-0.029614072,-0.05991212,0,0.05848115929280148,0.01166383457759367,"[0.8456441673464703, 0.00017841617329813892, 6.89905318263597e-10, 0.0599539474524726, 0.09422346833785371]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+9,56,-0.041920777,-0.1336057,0,0.05848115929280148,0.01166383457759367,"[0.668392378508564, 0.0007633158203633629, 1.4024281857165183e-13, 0.30411655023342393, 0.026727755437508435]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+9,57,-0.05421332,-0.22073112,3,-0.13361257096747306,-0.27899371683895335,"[0.3325343710585491, 0.0018716203602159394, 8.088718495726436e-19, 0.6638263189400103, 0.0017676896412245327]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+9,58,-0.19589648,0.09422963,4,-0.20691720368450753,-0.004029014381643935,"[0.003954220876354612, 1.2274739341269087e-11, 0.001538824888525986, 1.6316497003864224e-06, 0.9945053225731442]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+9,59,0.09615892,0.18102637,0,0.05848115929280148,0.01166383457759367,"[0.9928759178831775, 1.7361767558933371e-06, 0.006183156059846593, 3.982323978762963e-06, 0.0009352075562412174]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+9,60,-0.013711061,-0.07216554,0,0.05848115929280148,0.01166383457759367,"[0.8729855405283693, 0.00045978681411880823, 1.1524669235631646e-10, 0.08497019697542749, 0.0415844755668375]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+9,61,0.49365819,-0.019841706,1,0.39400268802779437,-0.08268788259142047,"[6.74603889849104e-06, 0.9999911449048013, 2.5748046516681526e-19, 2.1090563002238815e-06, 2.8340319833409e-19]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+9,62,-0.096782275,0.2680031,2,-0.11681432644787078,0.3248438774830968,"[0.0026135863488202364, 3.9705109863733674e-14, 0.9897374447157624, 5.960413362179487e-11, 0.00764896887577339]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+9,63,-0.07022652,-0.30347943,3,-0.13361257096747306,-0.27899371683895335,"[0.19779440543668045, 0.0027474799476899588, 2.3844117828659768e-24, 0.7993710582173981, 8.705639823161755e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+9,64,-0.08510746,-0.26066056,3,-0.13361257096747306,-0.27899371683895335,"[0.22876820739323744, 0.0010350307732217064, 3.3976172796937415e-21, 0.7693246271007296, 0.0008721347328112026]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+9,65,-0.00251228,0.3769304,2,-0.11681432644787078,0.3248438774830968,"[0.004334622307961337, 3.633676718799941e-15, 0.9956450005229478, 5.538014238582889e-14, 2.0377169031702946e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+9,66,0.42614552,0.08994585,1,0.39400268802779437,-0.08268788259142047,"[0.006612940838375872, 0.9933681518674942, 7.765972292369757e-12, 1.8907286336470177e-05, 2.7539911751828914e-14]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+9,67,0.25132486,-0.20319358,1,0.39400268802779437,-0.08268788259142047,"[0.004210575902263589, 0.9875313803157817, 5.798670728903255e-23, 0.008258043736451975, 4.5502759772464076e-11]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+9,68,-0.18157998,0.03947093,4,-0.20691720368450753,-0.004029014381643935,"[0.009473831378116962, 4.4601031465832457e-10, 2.0749171024351054e-05, 3.779468219194126e-05, 0.9904676243226564]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+9,69,-0.12251995,-0.049827244,4,-0.20691720368450753,-0.004029014381643935,"[0.18954491982633, 1.4024396606047487e-06, 7.953919308983362e-09, 0.013165218285681969, 0.7972884514944082]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+9,70,-0.18423451,0.25213403,2,-0.11681432644787078,0.3248438774830968,"[0.0001850608613917488, 3.485816421714732e-16, 0.9796955106373882, 1.461295486909163e-11, 0.02011942848660675]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+9,71,-0.04843812,0.4040603,2,-0.11681432644787078,0.3248438774830968,"[0.00049879323135799, 1.2986819994704463e-17, 0.9994907715012101, 7.872433540149394e-16, 1.0435267430997738e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+9,72,0.25011468,-0.18353273,1,0.39400268802779437,-0.08268788259142047,"[0.006378983772407281, 0.9840152324822176, 1.1993838204754037e-21, 0.009605783626297538, 1.1907778530467732e-10]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+9,73,0.24778247,-0.18444899,1,0.39400268802779437,-0.08268788259142047,"[0.006874721110773149, 0.9827519846894945, 1.2123119315005603e-21, 0.010373294057351889, 1.423806580085769e-10]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+9,74,-0.17648138,-0.41862112,3,-0.13361257096747306,-0.27899371683895335,"[0.14430391360293776, 0.00032690453764472257, 4.3517131226515386e-32, 0.8553632819245495, 5.8999348680381985e-06]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+9,75,-0.16704087,-0.3598848,3,-0.13361257096747306,-0.27899371683895335,"[0.11981341930453024, 0.0002074418645825339, 1.2484945807183344e-27, 0.8799025347973476, 7.660403353979342e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+9,76,0.61073065,0.018717432,1,0.39400268802779437,-0.08268788259142047,"[5.8043132265105075e-08, 0.9999999155562016, 3.8341722580108466e-21, 2.640066607679121e-08, 3.917855331387466e-25]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+9,77,-0.07488669,0.3827278,2,-0.11681432644787078,0.3248438774830968,"[0.0002329623881574467, 8.813556710204871e-18, 0.999738134740862, 1.8651593635927288e-15, 2.8902870978743117e-05]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+9,78,0.022653038,0.24370801,2,-0.11681432644787078,0.3248438774830968,"[0.36467940875555105, 1.6264947503265979e-09, 0.6285538933228102, 3.635274865563815e-08, 0.0067666599423953505]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+9,79,0.24368975,0.18879418,0,0.05848115929280148,0.01166383457759367,"[0.999344745105857, 0.0005687060838994695, 8.096120571741081e-05, 5.359468531043387e-06, 2.2813599498937983e-07]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+9,80,-0.16938657,-0.05973538,4,-0.20691720368450753,-0.004029014381643935,"[0.05647258156139186, 1.3692981511480614e-07, 3.479660215380223e-09, 0.0065985937277627535, 0.9369286843013699]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+9,81,-0.25151917,-0.28693447,3,-0.13361257096747306,-0.27899371683895335,"[0.07485781029882037, 5.052197390641925e-06, 1.6633014517253553e-21, 0.9147135621184176, 0.010423575385371487]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+9,82,0.04577409,-0.24324691,3,-0.13361257096747306,-0.27899371683895335,"[0.3053170892164512, 0.0698462416027747, 2.129687478438121e-21, 0.6248196808389129, 1.6988341861191455e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+9,83,-0.22563006,-0.049784996,4,-0.20691720368450753,-0.004029014381643935,"[0.009032303235524649, 3.0402369820802443e-09, 1.0355683074620608e-08, 0.0011026628134788161, 0.9898650205550764]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+9,84,-0.20074943,0.040258985,4,-0.20691720368450753,-0.004029014381643935,"[0.0050891274996402, 1.2978825623515003e-10, 2.3048496739656217e-05, 2.1821802676028227e-05, 0.9948660020711558]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+9,85,-0.1496939,0.30529067,2,-0.11681432644787078,0.3248438774830968,"[8.537346626489151e-05, 2.5113654844030737e-17, 0.9986808979485949, 1.918613871481247e-13, 0.00123372858494844]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+9,86,0.2630342,0.051892787,0,0.05848115929280148,0.01166383457759367,"[0.7272346598603713, 0.2704176895652759, 4.572964759410485e-09, 0.002347531876325912, 1.1412506193320998e-07]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+9,87,0.61719507,-0.024593957,1,0.39400268802779437,-0.08268788259142047,"[1.1824297755714685e-08, 0.9999999655517291, 1.8166065791694264e-23, 2.2623973087499426e-08, 4.883579577370192e-26]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+9,88,-0.14552048,-0.15470643,3,-0.13361257096747306,-0.27899371683895335,"[0.3470032307560538, 2.6693396717135898e-05, 9.754709983606043e-14, 0.3643674261037125, 0.288602649743419]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+9,89,0.004352061,-0.07103703,0,0.05848115929280148,0.01166383457759367,"[0.8957458084955636, 0.000849109660899365, 7.902615350292144e-11, 0.08268654607883737, 0.02071853568567365]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+9,90,-0.31772932,0.41427824,2,-0.11681432644787078,0.3248438774830968,"[5.709009677366503e-09, 7.77037492618425e-27, 0.9999962909906975, 9.262508172568943e-21, 3.703300292882153e-06]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+9,91,-0.118134014,0.26676714,2,-0.11681432644787078,0.3248438774830968,"[0.0012284455961316808, 9.498091309143414e-15, 0.9899598016957856, 3.157142123901704e-11, 0.008811752676501762]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+9,92,-0.19037005,0.30377576,2,-0.11681432644787078,0.3248438774830968,"[1.8122218346735265e-05, 1.4932548136888925e-18, 0.9987111547849739, 5.167592659494909e-14, 0.001270722996627684]","[0.010044125364410458, 0.0038543569641372394]",0.17531666039159804,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+9,93,-0.18803668,0.09546091,4,-0.20691720368450753,-0.004029014381643935,"[0.005095651132150229, 1.9103139789041706e-11, 0.0016572984615480012, 1.9092326682837245e-06, 0.9932451411545303]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+9,94,0.32727078,-0.11709024,1,0.39400268802779437,-0.08268788259142047,"[0.001082529200955339, 0.9981093157190735, 1.0655802239344202e-19, 0.0008081550790345317, 9.368094309690359e-13]","[0.017884027192240696, 0.012298194646037874]",0.19497387693172938,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+9,95,0.3095995,0.5030761,0,0.05848115929280148,0.01166383457759367,"[0.9984316916838644, 1.8995899059997132e-10, 0.0015683081256632132, 3.3549024754741268e-15, 5.098714570365177e-13]","[0.016081105983317974, 0.03132867959378998]",0.23647204882880574,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+9,96,-0.26364937,-0.38828564,3,-0.13361257096747306,-0.27899371683895335,"[0.06172164473946201, 1.1966257895336897e-05, 4.7409330131464084e-29, 0.9381760209566994, 9.036804594340826e-05]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+9,97,-0.25224024,-0.31188005,3,-0.13361257096747306,-0.27899371683895335,"[0.06677422551387255, 6.606326778813353e-06, 2.497412621536956e-23, 0.9300461042273425, 0.0031730639320062667]","[0.014793374286136208, 0.008303041163908956]",0.1527555429650604,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+9,98,-0.30068702,-0.14781809,4,-0.20691720368450753,-0.004029014381643935,"[0.014269443153874935, 1.256741186007341e-08, 1.1499697387746755e-12, 0.04065733814765877, 0.9450732061299045]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+9,99,-0.09486352,0.005280091,4,-0.20691720368450753,-0.004029014381643935,"[0.22302408507267107, 5.975962743492423e-07, 1.121078487227154e-06, 0.0022677572734604097, 0.774706438979107]","[0.006013933954037172, 0.00677586863352445]",0.24048187088280656,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+10,0,0.08799766,-0.06060414,0,0.06371267907187256,0.011393023405034543,"[0.9185523381736995, 0.001921578259717476, 1.0449222155051056e-11, 0.07921555725189916, 0.00031052630423460657]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+10,1,-0.08406016,0.2851326,2,-0.09463330063911646,0.3327342704201369,"[0.0027978109744911596, 8.455544974964053e-18, 0.9946553574554455, 1.037925945458185e-10, 0.002546831466270655]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+10,2,-0.16364236,-0.11411294,4,-0.20931696028541216,-0.0035235230900599545,"[0.18743064225161032, 3.759188994318282e-08, 1.3966807045358723e-10, 0.12348207309061122, 0.6890872469262205]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+10,3,0.07371062,-0.27021888,3,-0.12517292191148427,-0.27255963411007533,"[0.12969337108104045, 0.11035775973034086, 1.8225486728762164e-23, 0.7599483445825462, 5.246060723735708e-07]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+10,4,-0.1284643,0.3103237,2,-0.09463330063911646,0.3327342704201369,"[0.0002675658761969058, 8.686358228288612e-21, 0.9989501089776125, 2.0265944649326375e-12, 0.0007823251441640336]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+10,5,-0.23808402,0.26056772,2,-0.09463330063911646,0.3327342704201369,"[5.153954483916007e-05, 5.1583050311003706e-23, 0.9933715748774855, 5.195469775078045e-12, 0.0065768855724799005]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+10,6,-0.10493148,-0.30384988,3,-0.12517292191148427,-0.27255963411007533,"[0.042407722321485986, 0.0001304102504035187, 1.3507835917647849e-22, 0.9573534670801718, 0.00010840034793863528]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+10,7,-0.295713,-0.42771262,3,-0.12517292191148427,-0.27255963411007533,"[0.0029009398280190678, 3.5199732914549805e-07, 1.3373002221258966e-27, 0.9970918097805075, 6.898394144359987e-06]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+10,8,-0.3188932,-0.023905918,4,-0.20931696028541216,-0.0035235230900599545,"[0.0017189766974602776, 1.4283260859940418e-15, 7.377879468842974e-06, 0.00010916910957041939, 0.998164476313499]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+10,9,0.52375084,0.03593809,1,0.4075643889177964,-0.08207163922598883,"[9.714592626893687e-05, 0.9999015193682009, 6.792624532417298e-17, 1.3347055301418194e-06, 4.526616558558496e-21]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+10,10,-0.24769914,0.06194072,4,-0.20931696028541216,-0.0035235230900599545,"[0.0032213708555595758, 8.619125342555872e-16, 0.0007634574387930448, 5.7743008009111214e-06, 0.9960093974048455]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+10,11,0.45866024,0.07679337,1,0.4075643889177964,-0.08207163922598883,"[0.004636918925361411, 0.9953491152999056, 7.212672667372501e-13, 1.396577401193389e-05, 7.624874366094137e-17]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+10,12,-0.21952832,-0.2596673,3,-0.12517292191148427,-0.27255963411007533,"[0.039601414583404486, 2.8455313290017635e-07, 1.1368979170774886e-17, 0.9459535819586813, 0.014444718904781323]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+10,13,0.5387558,-0.021885695,1,0.4075643889177964,-0.08207163922598883,"[1.4092531151475186e-05, 0.9999850051221746, 1.589951264179696e-20, 9.023466740252486e-07, 9.597889113778822e-23]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+10,14,-0.31746334,-0.03755091,4,-0.20931696028541216,-0.0035235230900599545,"[0.0021019833616200425, 4.091910093602612e-15, 2.5072040070113995e-06, 0.00021782290057109302, 0.9976776865337978]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+10,15,0.21572201,0.15297481,0,0.06371267907187256,0.011393023405034543,"[0.9997754625231997, 0.0001224606425232549, 3.461031700940087e-05, 6.654918730453022e-05, 9.173299628043345e-07]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+10,16,-0.17784788,-0.16018736,3,-0.12517292191148427,-0.27255963411007533,"[0.1877194094887068, 1.4774856271001063e-07, 1.5585919740039068e-12, 0.43564901731923783, 0.3766314254419341]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+10,17,0.12485067,-0.17534988,3,-0.12517292191148427,-0.27255963411007533,"[0.3853170918144676, 0.17079614434086507, 2.0904408332413398e-18, 0.4438850298751164, 1.7339695510416029e-06]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+10,18,-0.045080878,-0.32160506,3,-0.12517292191148427,-0.27255963411007533,"[0.04933796309947859, 0.0022716306152976724, 7.877676901631493e-25, 0.9483835133705683, 6.892914655549388e-06]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+10,19,-0.29219365,-0.1354431,4,-0.20931696028541216,-0.0035235230900599545,"[0.01777571165086106, 2.1643090191691794e-11, 4.1659454023215327e-10, 0.03748964242324648, 0.9447346454876548]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+10,20,0.22983314,0.005944166,0,0.06371267907187256,0.011393023405034543,"[0.899326729834251, 0.0886521268288115, 7.995371298052196e-11, 0.012020946671420193, 1.9658556353846553e-07]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+10,21,-0.2313607,0.15489271,4,-0.20931696028541216,-0.0035235230900599545,"[0.0032778426217407726, 6.854230498187877e-18, 0.223933104984712, 8.595830785220755e-08, 0.7727889664352394]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+10,22,0.44196302,-0.22339565,1,0.4075643889177964,-0.08207163922598883,"[1.3217250427862592e-05, 0.9999664863263852, 2.045713987397495e-30, 2.029642318683203e-05, 5.694860443334891e-21]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+10,23,0.31953293,-0.23248373,1,0.4075643889177964,-0.08207163922598883,"[0.0005694200836219185, 0.9983595465331606, 1.3937880210955713e-27, 0.0010710333832151993, 2.3252686580983627e-15]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+10,24,0.0025802255,-0.08199731,0,0.06371267907187256,0.011393023405034543,"[0.8424653609962997, 8.891460340024647e-05, 2.3211070816587935e-11, 0.14544279470810595, 0.012002929668983147]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+10,25,0.023439856,-0.079839304,0,0.06371267907187256,0.011393023405034543,"[0.859691933481304, 0.00021248513520183003, 1.353850642224452e-11, 0.13513698179707062, 0.004958599572885195]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+10,26,-0.06371302,0.3954228,2,-0.09463330063911646,0.3327342704201369,"[0.0001337661687613764, 6.630229748374825e-22, 0.9998589698126701, 7.389539518032139e-15, 7.2640185612232314e-06]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+10,27,-0.2963673,0.015343715,4,-0.20931696028541216,-0.0035235230900599545,"[0.0016640694212751118, 4.789837698715879e-16, 7.560810146701618e-05, 2.2083917078381522e-05, 0.9982382385601788]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+10,28,0.08612508,0.3898904,2,-0.09463330063911646,0.3327342704201369,"[0.006925155970866421, 8.528462232239681e-16, 0.993074336550179, 1.2982884335422643e-12, 5.074776554507674e-07]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+10,29,-0.20296153,0.2345368,2,-0.09463330063911646,0.3327342704201369,"[0.0005407223747136365, 3.100887813640843e-20, 0.9614119892469148, 2.429004413731497e-10, 0.03804728813547122]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+10,30,-0.3021013,-0.23802479,3,-0.12517292191148427,-0.27255963411007533,"[0.030669216470005, 2.6577047679662176e-09, 7.760681179667248e-15, 0.8388880735345344, 0.13044270733774788]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+10,31,0.40233114,0.06031101,1,0.4075643889177964,-0.08207163922598883,"[0.031102806713665224, 0.9687730310252185, 4.107295979882686e-12, 0.00012416225696279366, 4.6194040366174914e-14]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+10,32,-0.31179968,-0.050893012,4,-0.20931696028541216,-0.0035235230900599545,"[0.0027910896725076378, 1.5406328290967595e-14, 7.621987925359991e-07, 0.0004526463580358084, 0.9967555017706486]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+10,33,0.11298243,0.035079706,0,0.06371267907187256,0.011393023405034543,"[0.9951221797895398, 0.0001402431761216719, 5.285582659400868e-08, 0.004465372008680885, 0.0002721521698310166]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+10,34,-0.23456638,0.06657637,4,-0.20931696028541216,-0.0035235230900599545,"[0.004260506006691921, 1.7985653756750377e-15, 0.0008460808719224507, 6.1589944159175726e-06, 0.994887254126968]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+10,35,0.11017645,-0.16371755,0,0.06371267907187256,0.011393023405034543,"[0.46954960811993585, 0.08299769964232176, 1.875950022659734e-17, 0.44744643490874, 6.257329002477241e-06]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+10,36,0.1429859,0.059452157,0,0.06371267907187256,0.011393023405034543,"[0.9977390097728488, 0.00020984736934075406, 1.735612765331006e-07, 0.001989872962281589, 6.109633425232669e-05]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+10,37,-0.040502112,0.02318828,0,0.06371267907187256,0.011393023405034543,"[0.7394993586264058, 9.536097798967883e-08, 2.68697271745604e-06, 0.0048229502529694825, 0.25567490878692944]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+10,38,-0.06471333,0.08954511,4,-0.20931696028541216,-0.0035235230900599545,"[0.433220728081489, 5.350074499579003e-10, 0.0008329856552246833, 0.00022005794828601293, 0.5657262277799929]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+10,39,0.06407858,0.09707585,0,0.06371267907187256,0.011393023405034543,"[0.9949395466011661, 7.230493743050073e-07, 4.522646918955518e-05, 0.00042353803367748175, 0.004590965846592517]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+10,40,-0.021407472,0.09407413,0,0.06371267907187256,0.011393023405034543,"[0.8116934310194434, 7.911873135026542e-09, 0.0004914487325458318, 0.0003515348512046851, 0.18746357748493314]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+10,41,-0.056248758,0.025906589,0,0.06371267907187256,0.011393023405034543,"[0.5994903513335785, 3.05594405856205e-08, 4.901617847895547e-06, 0.003573620871512918, 0.3969310956176199]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+10,42,-0.15132618,0.02146309,4,-0.20931696028541216,-0.0035235230900599545,"[0.05313104723612148, 2.543686925179846e-11, 1.082736898338743e-05, 0.00041041969570047577, 0.9464477056737578]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+10,43,-0.18518934,0.0027779788,4,-0.20931696028541216,-0.0035235230900599545,"[0.024092462587654663, 5.3215281249456015e-12, 3.7768180575991608e-06, 0.0003944349246752169, 0.975509325664291]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+10,44,0.5118622,-0.024860546,1,0.4075643889177964,-0.08207163922598883,"[3.6539765722916664e-05, 0.999961184562571, 5.698933820917122e-20, 2.275671705919693e-06, 2.6632437559751077e-21]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+10,45,-0.0018669573,0.3644946,2,-0.09463330063911646,0.3327342704201369,"[0.0016288859926144096, 4.0781384339026255e-18, 0.9983573950474978, 8.509643551690741e-13, 1.3718959036788228e-05]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+10,46,-0.24925767,0.015651966,4,-0.20931696028541216,-0.0035235230900599545,"[0.004322614591072965, 1.576549618453956e-14, 2.781807645809469e-05, 5.0205380547534725e-05, 0.9955993619519057]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+10,47,0.2804453,-0.1894261,1,0.4075643889177964,-0.08207163922598883,"[0.004891591645546284, 0.9896039998327716, 1.6019154901337956e-23, 0.005504408520630175, 1.052012178645687e-12]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+10,48,0.37225774,-0.11562894,1,0.4075643889177964,-0.08207163922598883,"[0.0009028170957706476, 0.9988111322121157, 1.7531306144206788e-21, 0.0002860506921122036, 1.4418608289911916e-15]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+10,49,0.1460578,0.21914145,0,0.06371267907187256,0.011393023405034543,"[0.9829185937541155, 1.1319215032105876e-07, 0.01703845034169083, 2.628924996964071e-06, 4.0213787046318644e-05]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+10,50,0.07159563,-0.024327766,0,0.06371267907187256,0.011393023405034543,"[0.9691566038266615, 0.00023240833800722667, 7.846850940003169e-10, 0.029351734229326663, 0.0012592528213197112]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+10,51,-0.078428976,-0.18954016,3,-0.12517292191148427,-0.27255963411007533,"[0.252991708891411, 4.83383372453514e-05, 8.467485369417657e-16, 0.7378344834330122, 0.009125469338330765]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+10,52,-0.23586994,0.37846398,2,-0.09463330063911646,0.3327342704201369,"[1.2612795576168407e-06, 1.9690513498551223e-28, 0.9999778180686226, 9.768515791387167e-17, 2.0920651819850847e-05]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+10,53,-0.15925287,-0.015642455,4,-0.20931696028541216,-0.0035235230900599545,"[0.06031576327417865, 1.3243441895264898e-10, 6.47260960238723e-07, 0.0018080268842559036, 0.9378755624481708]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+10,54,0.38273144,-0.19184409,1,0.4075643889177964,-0.08207163922598883,"[0.00014075666165641696, 0.9997066572635904, 1.1203478133195305e-26, 0.000152586074752974, 1.663633017631664e-17]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+10,55,-0.029614072,-0.05991212,0,0.06371267907187256,0.011393023405034543,"[0.8482254751350214, 8.21452925037339e-06, 7.944790735615855e-10, 0.08262538970448388, 0.0691409198367652]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+10,56,-0.041920777,-0.1336057,0,0.06371267907187256,0.011393023405034543,"[0.5676944616383354, 6.324541404346476e-05, 3.0673347766670886e-13, 0.41296599358371827, 0.019276299363596167]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+10,57,-0.05421332,-0.22073112,3,-0.12517292191148427,-0.27255963411007533,"[0.17204234424852824, 0.00026586233713936646, 4.08647984672954e-18, 0.8266656363645827, 0.0010261570497495278]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+10,58,-0.19589648,0.09422963,4,-0.20931696028541216,-0.0035235230900599545,"[0.010205781885086921, 7.233334932021448e-15, 0.00339351624847396, 4.331612932675873e-06, 0.9863963702534994]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+10,59,0.09615892,0.18102637,0,0.06371267907187256,0.011393023405034543,"[0.9926188088746646, 5.574325445708043e-08, 0.006575222821098407, 1.2895754942874908e-05, 0.000793016806039726]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+10,60,-0.013711061,-0.07216554,0,0.06371267907187256,0.011393023405034543,"[0.8551578350488218, 2.8884449156520035e-05, 1.234687983082364e-10, 0.1155334039299263, 0.02927987644862642]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+10,61,0.49365819,-0.019841706,1,0.4075643889177964,-0.08207163922598883,"[8.215960121538876e-05, 0.9999135758664314, 3.4797686257378947e-19, 4.26453235332507e-06, 3.13794179374161e-20]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+10,62,-0.096782275,0.2680031,2,-0.09463330063911646,0.3327342704201369,"[0.003940997639782145, 1.697048495871276e-17, 0.988936073354615, 3.626638908367665e-10, 0.007122928642938785]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+10,63,-0.07022652,-0.30347943,3,-0.12517292191148427,-0.27255963411007533,"[0.052052391695808005, 0.0005784164444714078, 3.534154258901066e-23, 0.9473311293657017, 3.806249401876773e-05]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+10,64,-0.08510746,-0.26066056,3,-0.12517292191148427,-0.27255963411007533,"[0.08372951832270739, 0.0001418176629723746, 4.104068905328104e-20, 0.9156604106597852, 0.0004682533545350526]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+10,65,-0.00251228,0.3769304,2,-0.09463330063911646,0.3327342704201369,"[0.0011079086312243116, 1.1294881686936174e-18, 0.9988847192440058, 2.703831398913908e-13, 7.3721244995650025e-06]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+10,66,0.42614552,0.08994585,1,0.4075643889177964,-0.08207163922598883,"[0.02865436951734678, 0.9712972435972602, 3.109376545134919e-11, 4.838685429213116e-05, 7.161650990840882e-15]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+10,67,0.25132486,-0.20319358,1,0.4075643889177964,-0.08207163922598883,"[0.010016695876827852, 0.9756243873569157, 1.461241415159045e-23, 0.014358916755820992, 1.0435417135071116e-11]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+10,68,-0.18157998,0.03947093,4,-0.20931696028541216,-0.0035235230900599545,"[0.019522475402859882, 7.088411653521738e-13, 5.7769175737697224e-05, 7.889110268824594e-05, 0.9803408643180052]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+10,69,-0.12251995,-0.049827244,4,-0.20931696028541216,-0.0035235230900599545,"[0.2403767818473365, 1.7663506938673038e-08, 2.355116116191446e-08, 0.020734030646191535, 0.7388891462918039]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+10,70,-0.18423451,0.25213403,2,-0.09463330063911646,0.3327342704201369,"[0.00046537189805339685, 2.5551989571911264e-20, 0.9831433375707982, 8.268009289656894e-11, 0.016391290448468564]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+10,71,-0.04843812,0.4040603,2,-0.09463330063911646,0.3327342704201369,"[0.0001646781130296688, 1.199817934121588e-21, 0.9998313133081641, 5.686818747120255e-15, 4.008578800612875e-06]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+10,72,0.25011468,-0.18353273,1,0.4075643889177964,-0.08207163922598883,"[0.01610872251383174, 0.9667311835477693, 3.2621628590166197e-22, 0.0171600939075041, 3.0894892526394325e-11]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+10,73,0.24778247,-0.18444899,1,0.4075643889177964,-0.08207163922598883,"[0.017116025117954146, 0.9643270033120859, 3.3383312722882076e-22, 0.0185569715326141, 3.734597140147568e-11]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+10,74,-0.17648138,-0.41862112,3,-0.12517292191148427,-0.27255963411007533,"[0.009162290890067754, 5.595518971409896e-05, 3.3092217724739107e-29, 0.9907797565385806, 1.997381637416804e-06]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+10,75,-0.16704087,-0.3598848,3,-0.12517292191148427,-0.27255963411007533,"[0.015217028352141856, 2.5202620432786737e-05, 2.8365312205055107e-25, 0.9847249672126698, 3.2801814755614416e-05]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+10,76,0.61073065,0.018717432,1,0.4075643889177964,-0.08207163922598883,"[2.1629402563801158e-06, 0.9999977659998053, 3.842124063755495e-20, 7.105993838287831e-08, 2.652140498127288e-26]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+10,77,-0.07488669,0.3827278,2,-0.09463330063911646,0.3327342704201369,"[0.00013492500657783855, 8.044553222168197e-22, 0.9998501156752739, 1.573397464378482e-14, 1.4959318132565844e-05]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+10,78,0.022653038,0.24370801,2,-0.09463330063911646,0.3327342704201369,"[0.31803578372058067, 8.288247023990909e-12, 0.6761495838413257, 1.5657439530860355e-07, 0.005814475855410005]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+10,79,0.24368975,0.18879418,0,0.06371267907187256,0.011393023405034543,"[0.9996840902951838, 9.808975743680475e-05, 0.0002013376598538593, 1.6349824813059282e-05, 1.3246271240236071e-07]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+10,80,-0.16938657,-0.05973538,4,-0.20931696028541216,-0.0035235230900599545,"[0.07907080586456872, 9.42832027549865e-10, 1.9974177924739288e-08, 0.010557992535470177, 0.9103711806829511]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+10,81,-0.25151917,-0.28693447,3,-0.12517292191148427,-0.27255963411007533,"[0.02056881618447986, 1.1071463988212962e-07, 7.602951480044135e-19, 0.9730712961953552, 0.006359776905525158]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+10,82,0.04577409,-0.24324691,3,-0.12517292191148427,-0.27255963411007533,"[0.17524950264643074, 0.02626071223263231, 3.1733792027434434e-21, 0.7984830700355646, 6.7150853724772245e-06]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+10,83,-0.22563006,-0.049784996,4,-0.20931696028541216,-0.0035235230900599545,"[0.01615557674566778, 7.059065648511603e-12, 1.1370989138768773e-07, 0.0018520302443011604, 0.9819922792930805]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+10,84,-0.20074943,0.040258985,4,-0.20931696028541216,-0.0035235230900599545,"[0.01156423774229278, 1.4326172879639475e-13, 7.76946425485e-05, 4.6613209726481044e-05, 0.988311454405289]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+10,85,-0.1496939,0.30529067,2,-0.09463330063911646,0.3327342704201369,"[0.00016596625500763578, 1.969592729404096e-21, 0.9987985644267066, 1.5755489062101274e-12, 0.001035469316710303]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+10,86,0.2630342,0.051892787,0,0.06371267907187256,0.011393023405034543,"[0.9214983197096015, 0.07542603935633181, 2.3126753146077438e-09, 0.0030756054042097433, 3.321718172384108e-08]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+10,87,0.61719507,-0.024593957,1,0.4075643889177964,-0.08207163922598883,"[7.431634561035536e-07, 0.9999991872334262, 1.0224231882706633e-22, 6.960311776018608e-08, 3.0515713219004117e-27]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+10,88,-0.14552048,-0.15470643,3,-0.12517292191148427,-0.27255963411007533,"[0.2755802782795574, 7.349556601898409e-07, 1.036278780008419e-12, 0.48559991032291483, 0.23881907644083136]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+10,89,0.004352061,-0.07103703,0,0.06371267907187256,0.011393023405034543,"[0.8749623147064343, 6.43246305478148e-05, 7.154855687777923e-11, 0.11108996345129316, 0.013883397140176286]","[0.013506689725134342, 0.015791936179500293]",0.21805869701618016,164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+10,90,-0.31772932,0.41427824,2,-0.09463330063911646,0.3327342704201369,"[4.7584968615440185e-08, 1.2235766100269037e-33, 0.9999981989753195, 2.50362051689921e-19, 1.7534397121122955e-06]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+10,91,-0.118134014,0.26676714,2,-0.09463330063911646,0.3327342704201369,"[0.0021261430173451653, 2.653553694457908e-18, 0.9896906272901701, 1.9705955285434547e-10, 0.008183229495425182]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+10,92,-0.19037005,0.30377576,2,-0.09463330063911646,0.3327342704201369,"[4.77154970833031e-05, 4.5605006969595694e-23, 0.9989501495431763, 4.399447996738083e-13, 0.0010021349593003835]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+10,93,-0.18803668,0.09546091,4,-0.20931696028541216,-0.0035235230900599545,"[0.012589192967312852, 1.289216406522538e-14, 0.003389177907990273, 5.0395594201895784e-06, 0.9840165895652637]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+10,94,0.32727078,-0.11709024,1,0.4075643889177964,-0.08207163922598883,"[0.00461780523144997, 0.9939198756385793, 3.003487787416796e-20, 0.0014623191297679315, 2.0271049077615002e-13]","[0.015368121786900524, 0.012138964543215669]",0.18329293080760967,1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+10,95,0.3095995,0.5030761,2,-0.09463330063911646,0.3327342704201369,"[0.043496203321004935, 5.146041552313105e-12, 0.9565037966736466, 4.015007435299887e-14, 1.6250988643882137e-13]","[0.018492172044200277, 0.005398682459816935]",0.18784501012503751,1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+10,96,-0.26364937,-0.38828564,3,-0.12517292191148427,-0.27255963411007533,"[0.005308275999614651, 6.049159894189042e-07, 1.9158998982837986e-25, 0.9946512411398929, 3.987794450296695e-05]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+10,97,-0.25224024,-0.31188005,3,-0.12517292191148427,-0.27255963411007533,"[0.014108669604485136, 1.8550672646197638e-07, 1.8020840039979107e-20, 0.9840860582800969, 0.001805086608691609]","[0.015175724772928962, 0.008565803978453268]",0.18025906515152407,1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
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+10,99,-0.09486352,0.005280091,4,-0.20931696028541216,-0.0035235230900599545,"[0.29901435797665843, 5.990543370798956e-09, 1.694117001606617e-06, 0.0038631427641526626, 0.6971207991516439]","[0.005801786813479695, 0.006326694821226842]",0.23054429689964853,1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189