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Found 2 papers, 2 papers with code
ContraSim -- A Similarity Measure Based on Contrastive Learning
In contrast to common closed-form similarity measures, ContraSim learns a parameterized measure by using both similar and dissimilar examples.
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training
In this paper, we introduce a novel neural network training framework that increases model's adversarial robustness to adversarial attacks while maintaining high clean accuracy by combining contrastive learning (CL) with adversarial training (AT).
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