2 papers
cs.CV2025
AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
Chenlang Yi, Zizhan Xiong, Qi Qi +5
Contrastive Language-Image Pre-training (CLIP) models have demonstrated superior performance across various visual tasks including medical image classification. However, fairness c…
cs.LG2025
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
Vicente Balmaseda, Bokun Wang, Ching-Long Lin +1
In self-supervised contrastive learning, negative pairs are typically constructed using an anchor image and a sample drawn from the entire dataset, excluding the anchor. However, t…