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Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning


Nov 24, 2021
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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* 14 pages, 4 tables, 11 figures 

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IMBENS: Ensemble Class-imbalanced Learning in Python


Nov 24, 2021
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

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* 6 pages, 2 tables, 1 figure 

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Deep Probability Estimation


Nov 21, 2021
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

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* SL, AK, WZ, ML, SM contributed equally to this work; 28 pages, 13 figures, 11 tables 

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