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20192023
most citedEncouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2022

Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall +2

Deep neural networks often fail to generalize outside of their training distribution, in particular when only a single data domain is available during training. While test-time ada…