Showing results 1 to 20 of 37
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| Issue Date | Title | Author(s) |
| 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 |
| 2023-12 | A Parametrical Model for Instance-Dependent Label Noise. | Yang, S; Wu, S; Yang, E; Han, B; Liu, Y; Xu, M; Niu, G; Liu, T |
| 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 |
| 2023-01-01 | Is Out-of-Distribution Detection Learnable? | Fang, Z; Li, Y; Lu, J; Dong, J; Han, B; Liu, F |
| 2022-08-14 | Bilateral Dependency Optimization: Defending Against Model-inversion Attacks | Peng, X; Liu, F; Zhang, J; Lan, L; Ye, J; Liu, T; Han, B |
| 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 |
| 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 |
| 2021-08-01 | Privacy-Preserving Stochastic Gradual Learning | Han, B; Tsang, IW; Xiao, X; Chen, L; Fung, SF; Yu, CP |
| 2021-02-25 | Confusable Learning for Large-Class Few-Shot Classification | Li, B; Han, B; Wang, Z; Jiang, J; Long, G |
| 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 |
| 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 |
| 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 | 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 |
| 2020-09-01 | Investigation on physicochemical and piezoresistive properties of smart MWCNT/cementitious composite exposed to elevated temperatures | Dong, W; Li, W; Wang, K; Han, B; Sheng, D; Shah, SP |
| 2019-05-15 | Millionaire: a hint-guided approach for crowdsourcing | Han, B; Yao, Q; Pan, Y; Tsang, IW; Xiao, X; Yang, Q; Sugiyama, M |
| 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 |
| 2019-01-01 | How does disagreement help generalization against label corruption? | Yu, X; Han, B; Yao, J; Niu, G; Tsang, IW; Sugiyama, M |
| 2018-12-24 | Develop A Web-Based Visualisation Platform for Wireless Sensor Network Generation | Han, B; Kong, X; Sandrasegaran, K; Liu, L |
| 2018-10-01 | Progressive Stochastic Learning for Noisy Labels | Han, B; Tsang, IW; Chen, L; Yu, CP; Fung, SF |
