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cs.LG2026
From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model
Vicente Balmaseda, Ching-Long Lin, Tianbao Yang
Strong image generation models are conditioned on class labels, aligned to frozen pretrained encoders, or built on separately trained autoencoders. While effective, generation then…
cs.LG2025★ 1 cited
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…