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A Survey on Extreme Multi-label Learning


Oct 08, 2022
Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

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* A preliminary version 

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USB: A Unified Semi-supervised Learning Benchmark


Aug 12, 2022
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

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* Submitted to NeurIPS'22 dataset and benchmark track; code at https://github.com/microsoft/Semi-supervised-learning 

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LAMDA-SSL: Semi-Supervised Learning in Python


Aug 09, 2022
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li

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Robust Deep Semi-Supervised Learning: A Brief Introduction


Feb 12, 2022
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li

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Prototypical Classifier for Robust Class-Imbalanced Learning


Oct 22, 2021
Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

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* 10 pages 

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Dash: Semi-Supervised Learning with Dynamic Thresholding


Sep 01, 2021
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

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* ICML 2021 

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Robust Long-Tailed Learning under Label Noise


Aug 26, 2021
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li

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NGC: A Unified Framework for Learning with Open-World Noisy Data


Aug 25, 2021
Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li

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* ICCV 2021 

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Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement


Jan 19, 2020
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie

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* AAAI 2020 

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Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness


Apr 22, 2019
Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jin-Feng Yi, Bo-Wen Zhou, Zhi-Hua Zhou

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