Lechao Chen

RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels

Learning with noisy labels (LNL) is one of the most important and challenging problems in weakly-supervised learning. Recent advances adopt the sample selection strategy to mitigate the interference of noisy labels and use small-loss criteria to select clean samples. However, the one-dimensional los…