Understanding the Role of Equivariance in Self-supervised Learning

Oct-10-2025, 19:51:09 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

Oct-10-2025, 19:51:09 GMT

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