most citedUncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

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Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

Yingsong Huang, Bing Bai, Shengwei Zhao +2

Learning against label noise is a vital topic to guarantee a reliable performance for deep neural networks. Recent research usually refers to dynamic noise modeling with model outp…