Yuntao Qu

DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions

In real application scenarios, the performance of deep networks may be degraded when the dataset contains noisy labels. Existing methods for learning with noisy labels are limited by two aspects. Firstly, methods based on the noise probability modeling can only be applied to class-level noisy labels…