78%Highly rated
?Highly ratedVote to see the score
PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
PEIRA introduces a non-contrastive self-supervised objective via linear regressor traces whose only stable equilibria recover canonical correlation subspaces, matching VICReg and LeJEPA performance.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
11/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 11 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 1/5