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SDQ: Stochastic Differentiable Quantization with Mixed Precision


Jun 17, 2022
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang-Ting Cheng

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* ICML 2022 

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BiT: Robustly Binarized Multi-distilled Transformer


May 25, 2022
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad

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Stereo Neural Vernier Caliper


Mar 26, 2022
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng

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* AAAI 2022 camera-ready version 

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Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space


Jan 03, 2022
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric Xing

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* Technical report 

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Data-Free Neural Architecture Search via Recursive Label Calibration


Dec 03, 2021
Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner

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* Technical report 

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Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation


Nov 29, 2021
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric Xing, Zhiqiang Shen

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* Technical report 

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Sliced Recursive Transformer


Nov 09, 2021
Zhiqiang Shen, Zechun Liu, Eric Xing

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* Code and models are available at https://github.com/szq0214/SReT 

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How Do Adam and Training Strategies Help BNNs Optimization?


Jun 21, 2021
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

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* ICML 2021. Code and models are available at https://github.com/liuzechun/AdamBNN 

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"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization


Apr 16, 2021
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

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