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Showing results 17 to 36 of 36< previous 
Issue DateTitleAuthor(s)
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
2023-06-01Moderately Distributional Exploration for Domain GeneralizationDai, R; Zhang, Y; Fang, Z; Han, B; Tian, X; Fang, Z
2023-03-17Molecular 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
2016-01-01On the convergence of a family of robust losses for stochastic gradient descentHan, B; Tsang, IW; Chen, L
2021-08-01Privacy-Preserving Stochastic Gradual LearningHan, B; Tsang, IW; Xiao, X; Chen, L; Fung, SF; Yu, CP
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
2018-10-01Progressive Stochastic Learning for Noisy LabelsHan, B; Tsang, IW; Chen, L; Yu, CP; Fung, SF
2019-05Recent 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
2018-04-01Robust Plackett–Luce model for k-ary crowdsourced preferencesHan, B; Pan, Y; Tsang, IW
2016-10-30The role and interaction of superplasticizer and emulsifier in fresh cement asphalt emulsion paste through rheology studyOuyang, J; Han, B; Cao, Y; Zhou, W; Li, W; Shah, SP
2016-01-01Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm DetectionYang, X; Gao, X; Tao, D; Li, X; Han, B; Li, J
2022-08-01Simulation of Triaxial Tests for Unsaturated Soils under a Tension–Shear State by the Discrete Element MethodCai, G; Li, J; Liu, S; Li, J; Han, B; He, X; Zhao, C
2018-09-01Stagewise learning for noisy k-ary preferencesPan, Y; Han, B; Tsang, IW
2021TOHAN: A One-step Approach towards Few-shot Hypothesis AdaptationChi, H; Liu, F; Yang, W; Lan, L; Liu, T; Han, B; Cheung, W; Kwok, J
2012-02-01Two novel 2D metal-organic frameworks based on biphenyl-2,2′,6, 6′-tetracarboxylic acid: Synthesis, structures and luminescent propertiesYang, Z; Liu, J; Liang, XQ; Jiang, Y; Zhang, T; Han, B; Sun, FX; Liu, L
2005-01The Virtual Boundary Violation Faced by China in Information SocietyLu, Z; Wang, R; Zhang, Z; Han, B; Deng, Z; Lu, J; Chen, G; Chen, Y; Huang, H
2015-12-07The Visual Object Tracking VOT2015 Challenge ResultsKristan, M; Matas, J; Leonardis, A; Felsberg, M; Čehovin, L; Fernández, G; Vojír˜, T; Häger, G; Nebehay, G; Pflugfelder, R; Gupta, A; Bibi, A; Lukežič, A; Garcia-Martin, A; Saffari, A; Petrosino, A; Montero, AS; Varfolomieiev, A; Baskurt, A; Zhao, B; Ghanem, B; Martinez, B; Lee, B; Han, B; Wang, C; Garcia, C; Zhang, C; Schmid, C; Tao, D; Kim, D; Huang, D; Prokhorov, D; Du, D; Yeung, DY; Ribeiro, E; Khan, FS; Porikli, F; Bunyak, F; Zhu, G; Seetharaman, G; Kieritz, H; Yau, HT; Li, H; Qi, H; Bischof, H; Possegger, H; Lee, H; Nam, H; Bogun, I; Jeong, JC; Cho, JI; Lee, JY; Zhu, J; Shi, J; Li, J; Jia, J; Feng, J; Gao, J; Choi, JY; Kim, JW; Lang, J; Martinez, JM; Choi, J; Xing, J; Xue, K; Palaniappan, K; Lebeda, K; Alahari, K; Gao, K; Yun, K; Wong, KH; Luo, L; Ma, L; Ke, L; Wen, L; Bertinetto, L; Pootschi, M; Maresca, M; Danelljan, M; Wen, M; Zhang, M; Arens, M; Valstar, M; Tang, M; Chang, MC; Khan, MH; Fan, N; Wang, N; Miksik, O; Torr, PHS; Wang, Q; Martin-Nieto, R; Pelapur, R; Bowden, R; Laganière, R; Moujtahid, S; Hare, S; Hadfield, S; Lyu, S; Li, S