Anna van Elst
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Tight PAC-Bayesian Risk Certificates for Contrastive Learning Open
Contrastive representation learning is a modern paradigm for learning representations of unlabeled data via augmentations -- precisely, contrastive models learn to embed semantically similar pairs of samples (positive pairs) closer than in…