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Meta Discovery: Learning to Discover Novel Classes given Very Limited Data


Feb 18, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han


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Guided Interpolation for Adversarial Training


Feb 15, 2021
Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama


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Learning from Similarity-Confidence Data


Feb 13, 2021
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

* 33 pages, 5 figures 

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CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection


Feb 10, 2021
Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama


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Understanding the Interaction of Adversarial Training with Noisy Labels


Feb 09, 2021
Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan Kankanhalli, Masashi Sugiyama


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Learning Diverse-Structured Networks for Adversarial Robustness


Feb 08, 2021
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

* 26 pages, 8 figures 

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Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization


Feb 04, 2021
Yivan Zhang, Gang Niu, Masashi Sugiyama


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Provably End-to-end Label-Noise Learning without Anchor Points


Feb 04, 2021
Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama


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Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification


Feb 01, 2021
Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama


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Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model


Jan 14, 2021
Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong


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SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning


Dec 02, 2020
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long


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A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

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Maximum Mean Discrepancy is Aware of Adversarial Attacks


Oct 22, 2020
Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama


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Pointwise Binary Classification with Pairwise Confidence Comparisons


Oct 05, 2020
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama


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Geometry-aware Instance-reweighted Adversarial Training


Oct 05, 2020
Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli


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Provably Consistent Partial-Label Learning


Jul 17, 2020
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama


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Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels


Jul 07, 2020
Yu-Ting Chou, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama

* Accepted at ICML 2020 

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Parts-dependent Label Noise: Towards Instance-dependent Label Noise


Jun 14, 2020
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama


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Class2Simi: A New Perspective on Learning with Label Noise


Jun 14, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning


Jun 14, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama


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Rethinking Importance Weighting for Deep Learning under Distribution Shift


Jun 08, 2020
Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama


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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger


Feb 26, 2020
Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli


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Do We Need Zero Training Loss After Achieving Zero Training Error?


Feb 20, 2020
Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama


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Progressive Identification of True Labels for Partial-Label Learning


Feb 19, 2020
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama


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Multi-Class Classification from Noisy-Similarity-Labeled Data


Feb 16, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Towards Mixture Proportion Estimation without Irreducibility


Feb 10, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao


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Confidence Scores Make Instance-dependent Label-noise Learning Possible


Jan 11, 2020
Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama


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