Minimizing contrastive loss produces an orthogonal modality gap vector whose size is monotonically tied to robustness, so post-processing that reduces the gap improves robustness with no loss in clean accuracy.
Represen- tation learning with contrastive predictive coding, 2019
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Is the Modality Gap a Bug or a Feature? A Robustness Perspective
Minimizing contrastive loss produces an orthogonal modality gap vector whose size is monotonically tied to robustness, so post-processing that reduces the gap improves robustness with no loss in clean accuracy.