Yuyin Zhou

L2B: Learning to Bootstrap Robust Models for Combating Label Noise

2024

Deep neural networks have shown great success in representation learning. However, when learning with noisy labels (LNL), they can easily overfit and fail to generalize to new data. This paper introduces a simple and effective …