QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
Paper
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2503.16709
•
Published
•
2
Shawn Shen
shawnricecake
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QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on
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DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural
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Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs
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DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
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2303.02165
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Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
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2312.05693
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EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge
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2402.10787
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Search for Efficient Large Language Models
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A Survey of Small Language Models
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Fully Open Source Moxin-7B Technical Report
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Efficient Reasoning with Hidden Thinking
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2501.19201
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