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Bayesian Active Learning by Disagreements: A Geometric Perspective


May 06, 2021
Xiaofeng Cao, Ivor W. Tsang


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Distribution Matching for Machine Teaching


May 06, 2021
Xiaofeng Cao, Ivor W. Tsang

* Black-box Machine Teaching 

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The Emerging Trends of Multi-Label Learning


Dec 02, 2020
Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang

* 21 pages, 5 figures 

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A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

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Subgroup-based Rank-1 Lattice Quasi-Monte Carlo


Oct 29, 2020
Yueming Lyu, Yuan Yuan, Ivor W. Tsang

* NeurIPS 2020 

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Deep N-ary Error Correcting Output Codes


Oct 20, 2020
Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh

* EAI MOBIMEDIA 2020 

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Graph Cross Networks with Vertex Infomax Pooling


Oct 17, 2020
Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang

* Neurips 2020 

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Intrinsic Reward Driven Imitation Learning via Generative Model


Jul 09, 2020
Xingrui Yu, Yueming Lyu, Ivor W. Tsang


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Multi-view Alignment and Generation in CCA via Consistent Latent Encoding


May 24, 2020
Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

* 37 pages, 22 figures 

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Secure Metric Learning via Differential Pairwise Privacy


Mar 30, 2020
Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang


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Face Hallucination with Finishing Touches


Feb 09, 2020
Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu

* 14 pages, 15 figures 

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Towards Sharper First-Order Adversary with Quantized Gradients


Feb 01, 2020
Zhuanghua Liu, Ivor W. Tsang


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Stochastic Implicit Natural Gradient for Black-box Optimization


Oct 09, 2019
Yueming Lyu, Ivor W. Tsang

* Black-box Optimization 

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Improving Generalization via Attribute Selection on Out-of-the-box Data


Jul 26, 2019
Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu


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Node Attribute Generation on Graphs


Jul 23, 2019
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang


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Latent Adversarial Defence with Boundary-guided Generation


Jul 16, 2019
Xiaowei Zhou, Ivor W. Tsang, Jie Yin

* 11 pages 

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Fast and Robust Rank Aggregation against Model Misspecification


May 29, 2019
Yuangang Pan, Weijie Chen, Gang Niu, Ivor W. Tsang, Masashi Sugiyama


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Curriculum Loss: Robust Learning and Generalization against Label Corruption


May 28, 2019
Yueming Lyu, Ivor W. Tsang


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Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation


May 25, 2019
Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu

* Accepted for IJCAI 2019 

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Efficient Batch Black-box Optimization with Deterministic Regret Bounds


May 24, 2019
Yueming Lyu, Yuan Yuan, Ivor W. Tsang


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Marginalized Average Attentional Network for Weakly-Supervised Learning


May 21, 2019
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung


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Safeguarded Dynamic Label Regression for Generalized Noisy Supervision


Mar 06, 2019
Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun

* Submitted to Transactions on Image Processing 

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How does Disagreement Help Generalization against Label Corruption?


Jan 26, 2019
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama


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How Does Disagreement Benefit Co-teaching?


Jan 14, 2019
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama


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A Survey on Multi-output Learning


Jan 02, 2019
Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen


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