arxiv
PublishedSeptember 15, 2026 at 4:00 AM
Sharp Rates and a One-Line Correction for Spectral Representation Learning
Publisher summary· verbatim
arXiv:2609.15825v1 Announce Type: new Abstract: A self-supervised encoder is trained once, frozen, and reused through lightweight probes on tasks nobody named at training time; the practitioner's question is when the off-the-shelf features are good enough and when they need fixing. Canonical correla
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Originally published on arxiv ↗