TherML: The Thermodynamics of Machine Learning

27 Sep 2018 · Alexander A. Alemi, Ian Fischer ·

In this work we offer an information-theoretic framework for representation learning that connects with a wide class of existing objectives in machine learning. We develop a formal correspondence between this work and thermodynamics and discuss its implications.

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BIG-bench Machine Learning

Representation Learning

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