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Reweighting Augmented Samples by Minimizing the Maximal Expected Loss


Mar 16, 2021
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

* published in ICLR2021 
* 14 pages 

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BinaryBERT: Pushing the Limit of BERT Quantization


Dec 31, 2020
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King


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TernaryBERT: Distillation-aware Ultra-low Bit BERT


Oct 10, 2020
Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu

* Accepted by EMNLP 2020 

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DynaBERT: Dynamic BERT with Adaptive Width and Depth


Apr 08, 2020
Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu


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Loss-aware Weight Quantization of Deep Networks


May 10, 2018
Lu Hou, James T. Kwok


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Loss-aware Binarization of Deep Networks


May 10, 2018
Lu Hou, Quanming Yao, James T. Kwok


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Power Law in Sparsified Deep Neural Networks


May 04, 2018
Lu Hou, James T. Kwok


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