Relation Modeling and Distillation for Learning with Noisy Labels

Xiaming Che, Junlin Zhang, Zhuang Qi +1

Learning with noisy labels has become an effective strategy for enhancing the robustness of models, which enables models to better tolerate inaccurate data. Existing methods either…