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most citedBN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning

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cs.LG2025

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application

Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon +2

This work studies the relationship between Contrastive Learning and Domain Adaptation from a theoretical perspective. The two standard contrastive losses, NT-Xent loss (Self-superv…