Showing results 1 to 20 of 173
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Issue Date | Title | Author(s) |
2023-09-22 | A Convergence Path to Deep Learning on Noisy Labels. | Liu, D; Tsang, IW; Yang, G |
2022-01-01 | A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting | Deng, J; Chen, X; Jiang, R; Song, X; Tsang, IW |
2024-01-01 | Adversarial Learning for Coordinate Regression through k-layer Penetrating Representation | Jiang, M; Sui, Y; Lei, Y; Xie, X; Li, C; Liu, Y; Tsang, IW |
2021-03-01 | An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps | Zhang, Y; Xiao, G; Zheng, Z; Zhu, T; Tsang, IW; Sui, Y |
2019-04-01 | Auto-weighted multi-view clustering via kernelized graph learning | Huang, S; Kang, Z; Tsang, IW; Xu, Z |
2021-01-01 | Black-Box Optimizer with Stochastic Implicit Natural Gradient | Lyu, Y; Tsang, IW |
2021-10-17 | CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection | Huang, S; Tsang, IW; Xu, Z; Lv, J; Liu, Q |
2022-09-22 | CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. | Huang, S; Tsang, IW; Xu, Z; Lv, J |
2023-01-01 | Co-Evolving Graph Reasoning Network for Emotion-Cause Pair Extraction | Xing, B; Tsang, IW |
2023-11-29 | Co-Guiding for Multi-Intent Spoken Language Understanding. | Xing, B; Tsang, IW |
2016-06-01 | Co-Labeling for Multi-View Weakly Labeled Learning | Xu, X; Li, W; Xu, D; Tsang, IW |
2018-01-01 | Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels | Han, 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 |
2018-01-01 | Co-teaching: Robust training of deep neural networks with extremely noisy labels | Han, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M |
2023-01-11 | Coarse-to-Fine Contrastive Learning on Graphs. | Zhao, P; Pan, Y; Li, X; Chen, X; Tsang, IW; Liao, L |
2022-04-20 | Cold-Start Active Sampling via ɣ-Tube. | Cao, X; Tsang, IW; Xu, J |
2013-08-01 | Combating negative transfer from predictive distribution differences | Seah, CW; Ong, YS; Tsang, IW |
2018-01-01 | Compact multi-label learning | Shen, X; Liu, W; Tsang, IW; Sun, QS; Ong, YS |
2017-11-06 | Compact multiple-instance learning | Chai, J; Liu, W; Tsang, IW; Shen, X |
2021-03-01 | Complementary Attributes: A New Clue to Zero-Shot Learning. | Xu, X; Tsang, IW; Liu, C |
2013-06-01 | Convex and scalable weakly labeled SVMs | Li, YF; Tsang, IW; Kwok, JT; Zhou, ZH |