An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise

Jingyi Cui, Yi-Ge Zhang, Hengyu Liu +1

Learning from noisy labels is a critical challenge in machine learning, with vast implications for numerous real-world scenarios. While supervised contrastive learning has recently…