Browsing byAuthorNiu, G

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Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)
2023-083D Simulation of Debris Flows with the Coupled Eulerian-Lagrangian Method and an Investigation of the RunoutXu, H; He, X; Shan, F; Niu, G; Sheng, D
2018-01-01Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsHan, 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
2018-01-01Co-teaching: Robust training of deep neural networks with extremely noisy labelsHan, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M
2021-02-09Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted StructureWang, C; Han, B; Pan, S; Jiang, J; Niu, G; Long, G
2022-01-01Fast and Robust Rank Aggregation against Model MisspecificationPan, Y; Tsang, IW; Chen, W; Niu, G; Sugiyama, M
2019-01-01How does disagreement help generalization against label corruption?Yu, X; Han, B; Yao, J; Niu, G; Tsang, IW; Sugiyama, M
2018-01-01Masking: A new perspective of noisy supervisionHan, B; Yao, J; Niu, G; Zhou, M; Tsang, IW; Zhang, Y; Sugiyama, M
2022-01-01META DISCOVERY: LEARNING TO DISCOVER NOVEL CLASSES GIVEN VERY LIMITED DATAChi, H; Liu, F; Han, B; Yang, W; Lan, L; Liu, T; Niu, G; Zhou, M; Sugiyama, M
2021Probabilistic Margins for Instance Reweighting in Adversarial TrainingWang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhuo, M; Sugiyama, M
2021-01-01Probabilistic Margins for Instance Reweighting in Adversarial TrainingWang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhou, M; Sugiyama, M