AINeutralarXiv – CS AI · Apr 106/10
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A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
Facebook Research releases EB-JEPA, an open-source library for learning representations through Joint-Embedding Predictive Architectures that predict in representation space rather than pixel space. The framework demonstrates strong performance across image classification (91% on CIFAR-10), video prediction, and action-conditioned world models, making self-supervised learning more accessible for research and practical applications.