Understanding the Role of Equivariance in Self-supervised Learning

Nov-20-2025, 05:58:57 GMT–Neural Information Processing Systems

Contrastive learning has been a leading paradigm for self-supervised learning, but it is widely observed that it comes at the price of sacrificing useful features ( e.g., colors) by being invariant to data augmentations.

artificial intelligence, inductive learning, machine learning, (20 more...)

Neural Information Processing Systems

Nov-20-2025, 05:58:57 GMT

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