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Probabilistic Bilevel Coreset Selection


Jan 24, 2023
Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang

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Model Agnostic Sample Reweighting for Out-of-Distribution Learning


Jan 24, 2023
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang

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Normalizing Flow with Variational Latent Representation


Nov 21, 2022
Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang

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* 24 pages, 7 figures 

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DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics


Nov 20, 2022
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen

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Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization


Nov 20, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Optimizing Server-side Aggregation For Robust Federated Learning via Subspace Training


Nov 10, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Fast Adversarial Training with Adaptive Step Size


Jun 06, 2022
Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang

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Finding Dynamics Preserving Adversarial Winning Tickets


Mar 06, 2022
Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang

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* Accepted by AISTATS2022 

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Safe Screening for Sparse Conditional Random Fields


Nov 27, 2021
Weizhong Zhang, Shuang Qiu

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