Showing results 17 to 36 of 37
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Issue Date | Title | Author(s) |
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 |
2019-05-15 | Millionaire: a hint-guided approach for crowdsourcing | Han, B; Yao, Q; Pan, Y; Tsang, IW; Xiao, X; Yang, Q; Sugiyama, M |
2023-06-01 | Moderately Distributional Exploration for Domain Generalization | Dai, R; Zhang, Y; Fang, Z; Han, B; Tian, X; Fang, Z |
2023-03-17 | Molecular insights into the Darwin paradox of coral reefs from the sea anemone Aiptasia. | Cui, G; Konciute, MK; Ling, L; Esau, L; Raina, J-B; Han, B; Salazar, OR; Presnell, JS; Rädecker, N; Zhong, H; Menzies, J; Cleves, PA; Liew, YJ; Krediet, CJ; Sawiccy, V; Cziesielski, MJ; Guagliardo, P; Bougoure, J; Pernice, M; Hirt, H; Voolstra, CR; Weis, VM; Pringle, JR; Aranda, M |
2016-01-01 | On the convergence of a family of robust losses for stochastic gradient descent | Han, B; Tsang, IW; Chen, L |
2021-08-01 | Privacy-Preserving Stochastic Gradual Learning | Han, B; Tsang, IW; Xiao, X; Chen, L; Fung, SF; Yu, CP |
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 |
2018-10-01 | Progressive Stochastic Learning for Noisy Labels | Han, B; Tsang, IW; Chen, L; Yu, CP; Fung, SF |
2019-05 | Recent trends in intensive treatments of obesity: Is academic research matching public interest? | Sui, Z; Raman, J; Han, B; Burchell, T; Coogan, SCP; Brennan, B; Sartoretto, A |
2024-05 | Regularly Truncated M-Estimators for Learning With Noisy Labels. | Xia, X; Lu, P; Gong, C; Han, B; Yu, J; Yu, J; Liu, T |
2018-04-01 | Robust Plackett–Luce model for k-ary crowdsourced preferences | Han, B; Pan, Y; Tsang, IW |
2016-10-30 | The role and interaction of superplasticizer and emulsifier in fresh cement asphalt emulsion paste through rheology study | Ouyang, J; Han, B; Cao, Y; Zhou, W; Li, W; Shah, SP |
2016-01-01 | Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection | Yang, X; Gao, X; Tao, D; Li, X; Han, B; Li, J |
2022-08-01 | Simulation of Triaxial Tests for Unsaturated Soils under a Tension–Shear State by the Discrete Element Method | Cai, G; Li, J; Liu, S; Li, J; Han, B; He, X; Zhao, C |
2018-09-01 | Stagewise learning for noisy k-ary preferences | Pan, Y; Han, B; Tsang, IW |
2021 | TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation | Chi, H; Liu, F; Yang, W; Lan, L; Liu, T; Han, B; Cheung, W; Kwok, J |
2012-02-01 | Two novel 2D metal-organic frameworks based on biphenyl-2,2′,6, 6′-tetracarboxylic acid: Synthesis, structures and luminescent properties | Yang, Z; Liu, J; Liang, XQ; Jiang, Y; Zhang, T; Han, B; Sun, FX; Liu, L |
2005-01 | The Virtual Boundary Violation Faced by China in Information Society | Lu, Z; Wang, R; Zhang, Z; Han, B; Deng, Z; Lu, J; Chen, G; Chen, Y; Huang, H |