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Structure-Informed Shadow Removal Networks


Jan 09, 2023
Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau

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* Tech report 

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Coarse-to-Fine Contrastive Learning on Graphs


Dec 13, 2022
Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao

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Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs


Oct 19, 2022
Bowen Xing, Ivor W. Tsang

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* Accepted to EMNLP 2022 Main Conference 

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Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling


Oct 19, 2022
Bowen Xing, Ivor W. Tsang

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* Accepted to EMNLP 2022 Main Conference 

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A Survey of Learning on Small Data


Jul 29, 2022
Xiaofeng Cao, Weixin Bu, Shengjun Huang, Yingpeng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang

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Data-Efficient Learning via Minimizing Hyperspherical Energy


Jul 16, 2022
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang

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When an Active Learner Meets a Black-box Teacher


Jun 30, 2022
Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang

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Latent Boundary-guided Adversarial Training


Jun 08, 2022
Xiaowei Zhou, Ivor W. Tsang, Jie Yin

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* To appear in Machine Learning 

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Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning


May 23, 2022
Bowen Xing, Ivor W. Tsang

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* To appear in IJCAI 2022 

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