Bryan Hooi*

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning

"Self-Supervised Contrastive Learning has proven effective in deriving high-quality representations from unlabeled data. However, a major challenge that hinders both unimodal and multimodal contrastive learning is feature suppression, a phenomenon where the trained model captures only a limited port…