Zijun Long*

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning

"Human-annotated vision datasets inevitably contain a fraction of human-mislabelled examples. While the detrimental effects of such mislabelling on supervised learning are well-researched, their influence on Supervised Contrastive Learning (SCL) remains largely unexplored. In this paper, we show tha…