Browsing byAuthorSugiyama, M

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Showing results 1 to 11 of 11
Issue DateTitleAuthor(s)
2017-09-012017 publication guidelines for structural modelling of small-angle scattering data from biomolecules in solution: An updateTrewhella, J; Duff, AP; Durand, D; Gabel, F; Guss, JM; Hendrickson, WA; Hura, GL; Jacques, DA; Kirby, NM; Kwan, AH; Pérez, J; Pollack, L; Ryan, TM; Sali, A; Schneidman-Duhovny, D; Schwede, T; Svergun, DI; Sugiyama, M; Tainer, JA; Vachette, P; Westbrook, J; Whitten, AE
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
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
2019-05-15Millionaire: a hint-guided approach for crowdsourcingHan, B; Yao, Q; Pan, Y; Tsang, IW; Xiao, X; Yang, Q; 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
2020-06-10Stochastic Multichannel Ranking with Brain Dynamics Preferences.Pan, Y; Tsang, IW; Singh, AK; Lin, C-T; Sugiyama, M