Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels

Qi Wei, Lei Feng, Haobo Wang +1

Learning with noisy labels aims to ensure model generalization given a label-corrupted training set. The sample selection strategy achieves promising performance by selecting a lab…