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Weakly Supervised Contrastive Learning


Oct 10, 2021
Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu


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Correcting the User Feedback-Loop Bias for Recommendation Systems


Sep 13, 2021
Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang


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Exophoric Pronoun Resolution in Dialogues with Topic Regularization


Sep 10, 2021
Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu

* EMNLP 2021 main conference 

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Learning to Collaborate


Aug 19, 2021
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang


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Fair and Consistent Federated Learning


Aug 19, 2021
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang


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Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition


Aug 11, 2021
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang


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Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation


Aug 03, 2021
Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, Changshui Zhang, Jianwei Zhang


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ReSSL: Relational Self-Supervised Learning with Weak Augmentation


Jul 23, 2021
Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

* fixed several typos 

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Vision Transformer Architecture Search


Jun 25, 2021
Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu


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K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets


Jun 11, 2021
Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by ICML 2021 

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The Definitions of Interpretability and Learning of Interpretable Models


May 29, 2021
Weishen Pan, Changshui Zhang

* 18 pages, 5 figures 

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BCNet: Searching for Network Width with Bilaterally Coupled Network


May 21, 2021
Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by CVPR 2021 

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Learning a Proposal Classifier for Multiple Object Tracking


Mar 26, 2021
Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding

* Accepted at CVPR 2021, Poster, EEE/CVF Conference on Computer Vision and Pattern Recognition 

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Recent Advances in Large Margin Learning


Mar 25, 2021
Yiwen Guo, Changshui Zhang

* 8 pages, 3 figures 

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Prioritized Architecture Sampling with Monto-Carlo Tree Search


Mar 22, 2021
Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by CVPR2021. We also release a NAS benchmark on the one-shot MobileNetV2 search space 

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Locally Free Weight Sharing for Network Width Search


Feb 24, 2021
Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

* Accepted by ICLR 2021 Spotlight 

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Sill-Net: Feature Augmentation with Separated Illumination Representation


Feb 06, 2021
Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang


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Explicitly Learning Topology for Differentiable Neural Architecture Search


Nov 18, 2020
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang


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Extreme Value Preserving Networks


Nov 17, 2020
Mingjie Sun, Jianguo Li, Changshui Zhang


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Data Agnostic Filter Gating for Efficient Deep Networks


Oct 28, 2020
Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu


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Learning Fast Approximations of Sparse Nonlinear Regression


Oct 26, 2020
Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang


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Robust Finite Mixture Regression for Heterogeneous Targets


Oct 12, 2020
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang

* Data Mining and Knowledge Discovery, volume 32, pages 1509 to 1560, year 2018 

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Learning from Very Few Samples: A Survey


Sep 12, 2020
Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang

* 30 pages 

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On Connections between Regularizations for Improving DNN Robustness


Jul 04, 2020
Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang

* Accepted by TPAMI 

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Road Network Metric Learning for Estimated Time of Arrival


Jun 24, 2020
Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye

* Accepted by 25th International Conference on Pattern Recognition (ICPR 2020) 

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xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility


Jun 16, 2020
Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

* change the places of the last four figures 

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