LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
Weekly Paper Notes — one of the top picks from the 2026-08-29 CS paper digest. Area: AI / Machine Learning. Authors: Lukas Kuhn, Lucas Maes, Giuseppe Serra, Quentin Le Lidec, Yann LeCun, Randall Balestriero, Florian Buettner (German Cancer Research Center / DKTK / Goethe University Frankfurt, Mila, Université de Montréal, Brown University, Courant Institute NYU, AMI Labs) arXiv: 2608.27395 · PDF · Project page TL;DR Self-supervised video encoders have been expensive twice over: video carries an order of magnitude more tokens than an image, and the dominant methods add machinery on top of that cost purely to keep representations from collapsing....