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Showing results 1 to 20 of 180
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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
ADAPTIVE STOCHASTIC GRADIENT ALGORITHM FOR BLACK BOX MULTI OBJECTIVE LEARNING
Ye, F
;
Lyu, Y
;
Wang, X
;
Zhang, Y
;
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
2020-02-01
Auto-weighted multi-view co-clustering with bipartite graphs
Huang, S
;
Xu, Z
;
Tsang, IW
;
Kang, 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
2020-09-01
Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation
Zhang, Y
;
Tsang, IW
;
Duan, L
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