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What is Self-Supervised Learning and Information Theory about?

This document reviews the intersection of information theory, self-supervised learning, and deep neural networks. It introduces a unified framework that synthesizes research on self-supervised learning from an information-theoretic perspective. Recent advances in self-supervised learning have been driven by joint embedding architectures, but the theoretical underpinnings are still unclear. Information theory has played a key role in understanding and optimizing neural networks, and several researchers have

Author

godray1234a

Language

EN