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Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting


Sep 03, 2022
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang

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Meta Objective Guided Disambiguation for Partial Label Learning


Aug 26, 2022
Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang

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* 10 pages 

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A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation


Jul 06, 2022
Feng Sun, Ming-Kun Xie, Sheng-Jun Huang

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* 12 pages, 5 figures 

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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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Active Learning for Open-set Annotation


Jan 18, 2022
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang

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Learning from Crowds with Sparse and Imbalanced Annotations


Jul 11, 2021
Ye Shi, Shao-Yuan Li, Sheng-Jun Huang

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CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise


May 16, 2021
Ming-Kun Xie, Sheng-Jun Huang

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* 18 pages 

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Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries


Mar 27, 2021
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

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* To be published in AAAI-21 

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Co-Imitation Learning without Expert Demonstration


Mar 27, 2021
Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang

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Provable Defense Against Delusive Poisoning


Feb 09, 2021
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

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