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GACT: Activation Compressed Training for General Architectures


Jun 28, 2022
Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung

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AutoIP: A United Framework to Integrate Physics into Gaussian Processes


Feb 24, 2022
Da Long, Zheng Wang, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael Mahoney

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LocalNewton: Reducing Communication Bottleneck for Distributed Learning


May 16, 2021
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael Mahoney

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* To be published in Uncertainty in Artificial Intelligence (UAI) 2021 

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Rethinking Batch Normalization in Transformers


Mar 17, 2020
Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer

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PyHessian: Neural Networks Through the Lens of the Hessian


Jan 02, 2020
Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney

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ANODEV2: A Coupled Neural ODE Evolution Framework


Jun 10, 2019
Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael Mahoney

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HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision


Apr 29, 2019
Zhen Dong, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer

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Trust Region Based Adversarial Attack on Neural Networks


Dec 16, 2018
Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney

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