Siqi Wang*

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration

"Learning with noisy labels (LNL) aims to train a high-performing model using a noisy dataset. We observe that noise for a given class often comes from a limited set of categories, yet many LNL methods overlook this. For example, an image mislabeled as a cheetah is more likely a leopard than a hippo…