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Ivor Tsang

Nanyang Technological University

Neural Optimization Kernel: Towards Robust Deep Learning


Jun 23, 2021
Yueming Lyu, Ivor Tsang

* Deep Learning, Kernel Methods, Deep Learning Theory, Kernel Approximation, Integral Approximation 

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Imitation Learning: Progress, Taxonomies and Opportunities


Jun 23, 2021
Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor Tsang, Fang Chen


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Contrastive Conditional Transport for Representation Learning


May 08, 2021
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou


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Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation


Mar 09, 2021
Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor Tsang

* 10 pages, 9 figures 

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Human-Understandable Decision Making for Visual Recognition


Mar 05, 2021
Xiaowei Zhou, Jie Yin, Ivor Tsang, Chen Wang

* 12 pages 

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Learning Robust Node Representations on Graphs


Sep 06, 2020
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan

* 16 pages 

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Learning Robust Node Representation on Graphs


Aug 26, 2020
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan

* 16 pages. This paper is currently under review by NeurIPS 2020 

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Copy and Paste GAN: Face Hallucination from Shaded Thumbnails


Mar 19, 2020
Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu

* CVPR2020 (oral) preprint 

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Domain-adversarial Network Alignment


Aug 15, 2019
Huiting Hong, Xin Li, Yuangang Pan, Ivor Tsang


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Probabilistic CCA with Implicit Distributions


Jul 04, 2019
Yaxin Shi, Yuangang Pan, Donna Xu, Ivor Tsang

* 23 pages, 9 Figures; Keywords: Multi-view Learning, Nonlinear Dependency, Deep Generative models 

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Masking: A New Perspective of Noisy Supervision


Oct 31, 2018
Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor Tsang, Ya Zhang, Masashi Sugiyama

* NIPS 2018 camera-ready version 

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Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels


Oct 30, 2018
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, Masashi Sugiyama

* NIPS 2018 camera-ready version 

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Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels


Sep 28, 2018
Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor Tsang, Masashi Sugiyama


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Variational Composite Autoencoders


Apr 12, 2018
Jiangchao Yao, Ivor Tsang, Ya Zhang


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Deep Learning from Noisy Image Labels with Quality Embedding


Nov 02, 2017
Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

* Under review for Transactions on Image Processing 

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A Split-Merge Framework for Comparing Clusterings


Sep 04, 2012
Qiaoliang Xiang, Qi Mao, Kian Ming Chai, Hai Leong Chieu, Ivor Tsang, Zhendong Zhao

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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Discovering Support and Affiliated Features from Very High Dimensions


Jun 27, 2012
Yiteng Zhai, Mingkui Tan, Ivor Tsang, Yew Soon Ong

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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Learning with Augmented Features for Heterogeneous Domain Adaptation


Jun 18, 2012
Lixin Duan, Dong Xu, Ivor Tsang

* ICML2012 

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