Augmentation-aware Self-supervised Learning with Conditioned Projector

Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński +3

Self-supervised learning (SSL) is a powerful technique for learning from unlabeled data. By learning to remain invariant to applied data augmentations, methods such as SimCLR and M…