Bringing Generative Learning to Representation Learning: Self-Supervised Transfer Learning as Distribution Matching.

arXiv:2502.14424v5 Announce Type: replace-cross Abstract: Most self-supervised learning objectives defend against collapse but leave the target representation law unspecified. We formulate representation learning as Distribution Matching (DM), learning an augm