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Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets


Jun 24, 2022
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

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* Accepted by ICML 2022 

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Mitigating Neural Network Overconfidence with Logit Normalization


May 19, 2022
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

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* Accepted by ICML 2022 

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Can Adversarial Training Be Manipulated By Non-Robust Features?


Jan 31, 2022
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

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GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation


Jan 25, 2022
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

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* Accepted by AAAI 2022 

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Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix


Oct 19, 2021
Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng

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Open-set Label Noise Can Improve Robustness Against Inherent Label Noise


Jun 21, 2021
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An

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Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management


Dec 23, 2020
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao

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* Accepted by AAAI 2021 

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MetaInfoNet: Learning Task-Guided Information for Sample Reweighting


Dec 09, 2020
Hongxin Wei, Lei Feng, Rundong Wang, Bo An

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