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Information in Infinite Ensembles of Infinitely-Wide Neural Networks

2019-11-20pproximateinference AABI Symposium 2019Code Available0· sign in to hype

Ravid Shwartz-Ziv, Alexander A. Alemi

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Abstract

In this preliminary work, we study the generalization properties of infinite ensembles of infinitely-wide neural networks. Amazingly, this model family admits tractable calculations for many information-theoretic quantities. We report analytical and empirical investigations in the search for signals that correlate with generalization.

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