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Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method


Jun 14, 2022
Aaron Defazio, Baoyu Zhou, Lin Xiao


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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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On Continual Model Refinement in Out-of-Distribution Data Streams


May 04, 2022
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih

* Accepted to ACL 2022; Project website: https://cmr-nlp.github.io/ 

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FedShuffle: Recipes for Better Use of Local Work in Federated Learning


Apr 27, 2022
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

* 18 pages, 2 figures, 3 tables, 30 pages of supplementary materials 

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Federated Learning with Partial Model Personalization


Apr 08, 2022
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael Rabbat, Maziar Sanjabi, Lin Xiao


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On the Convergence Rates of Policy Gradient Methods


Jan 19, 2022
Lin Xiao


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Importance Estimation from Multiple Perspectives for Keyphrase Extraction


Nov 11, 2021
Mingyang Song, Liping Jing, Lin Xiao

* 11 pages, 2 figures, Accepted by EMNLP 2021 (main conference) 

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