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Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Feb 26, 2020
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez


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Hoplite: Efficient Collective Communication for Task-Based Distributed Systems

Feb 13, 2020
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica


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Fast Structured Decoding for Sequence Models

Oct 25, 2019
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng

* Accepted to NeurIPS 2019 (Previous title: Structured Decoding for Non-Autoregressive Machine Translation) 

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Hint-Based Training for Non-Autoregressive Machine Translation

Sep 15, 2019
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu

* EMNLP-IJCNLP 2019 

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Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

Jun 06, 2019
Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu


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Towards Binary-Valued Gates for Robust LSTM Training

Jun 08, 2018
Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu

* ICML 2018 

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