A Gaussian generative model of positive pairs has a maximum likelihood estimator that equals PCA under isotropic augmentation noise and equals the simple non-contrastive SSL loss under orthogonal noise.
Self-supervised learning of pretext-invariant representations
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A Probabilistic Model for Non-Contrastive Learning
A Gaussian generative model of positive pairs has a maximum likelihood estimator that equals PCA under isotropic augmentation noise and equals the simple non-contrastive SSL loss under orthogonal noise.