Kerui Liu

HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint

Recent developments of the application of Contrastive Learning in Semi-Supervised Learning (SSL) have demonstrated significant advancements, as a result of its exceptional ability to learn class-aware cluster representations and the full exploitation of massive unlabeled data. However, mismatched in…