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Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization


Aug 25, 2022
Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo

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LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data


Jun 19, 2022
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

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Learning Physics-Informed Neural Networks without Stacked Back-propagation


Feb 18, 2022
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

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SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation


Feb 14, 2022
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

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* 18 pages, 2 figures, ICLR 2022 

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AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing


Aug 06, 2021
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang

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* Code: https://github.com/ultmaster/AceNAS 

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OpEvo: An Evolutionary Method for Tensor Operator Optimization


Jun 10, 2020
Xiaotian Gao, Cui Wei, Lintao Zhang, Mao Yang

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