arXiv (OAI Expanded)
open access
Consistency of augmentation graph and network approximability in contrastive learning
Contrastive learning leverages data augmentation to develop feature representation without relying on large labeled datasets. However, despite its empirical success, the theoretical foundations of contrastive learning remain incomplete, with many essential guarantees left unaddressed, particularly t
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