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Lei Feng

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Multi-Label Knowledge Distillation

Aug 12, 2023
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

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Exploiting Counter-Examples for Active Learning with Partial labels

Jul 14, 2023
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han

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Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

Jul 02, 2023
Shuo He, Lei Feng, Guowu Yang

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A Universal Unbiased Method for Classification from Aggregate Observations

Jun 28, 2023
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen

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Weakly Supervised Regression with Interval Targets

Jun 18, 2023
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng

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Partial-Label Regression

Jun 15, 2023
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An

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A Generalized Unbiased Risk Estimator for Learning with Augmented Classes

Jun 12, 2023
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

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SDFReg: Learning Signed Distance Functions for Point Cloud Registration

Apr 18, 2023
Leida Zhang, Yiqun Wang, Zhengda Lu, Lei Feng

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Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios

Mar 30, 2023
Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

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