| Issue Date | Title | Author(s) |
| 2018-01-01 | Co-teaching: Robust training of deep neural networks with extremely noisy labels | Han, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M |
| 2018-01-01 | Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels | Han, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M; Bengio, S; Wallach, H; Larochelle, H; Grauman, K; CesaBianchi, N; Garnett, R |
| 2021-02-09 | Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure | Wang, C; Han, B; Pan, S; Jiang, J; Niu, G; Long, G |
| 2022-01-01 | Fast and Robust Rank Aggregation against Model Misspecification | Pan, Y; Tsang, IW; Chen, W; Niu, G; Sugiyama, M |
| 2019-01-01 | How does disagreement help generalization against label corruption? | Yu, X; Han, B; Yao, J; Niu, G; Tsang, IW; Sugiyama, M |
| 2018-01-01 | Masking: A new perspective of noisy supervision | Han, B; Yao, J; Niu, G; Zhou, M; Tsang, IW; Zhang, Y; Sugiyama, M |
| 2022-01-01 | META DISCOVERY: LEARNING TO DISCOVER NOVEL CLASSES GIVEN VERY LIMITED DATA | Chi, H; Liu, F; Han, B; Yang, W; Lan, L; Liu, T; Niu, G; Zhou, M; Sugiyama, M |
| 2021 | Probabilistic Margins for Instance Reweighting in Adversarial Training | Wang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhuo, M; Sugiyama, M |
| 2021-01-01 | Probabilistic Margins for Instance Reweighting in Adversarial Training | Wang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhou, M; Sugiyama, M |
