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arXiv · 1808.01048

Variational Information Bottleneck on Vector Quantized Autoencoders

Hanwei Wu·Markus Flierl
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Abstract

In this paper, we provide an information-theoretic interpretation of the Vector Quantized-Variational Autoencoder (VQ-VAE). We show that the loss function of the original VQ-VAE can be derived from the variational deterministic information bottleneck (VDIB) principle. On the other hand, the VQ-VAE trained by the Expectation Maximization (EM) algorithm can be viewed as an approximation to the variational information bottleneck(VIB) principle.

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BibTeXRIS

Hanwei Wu, Markus Flierl. 2018-08-02. Variational Information Bottleneck on Vector Quantized Autoencoders. https://arxiv.org/abs/1808.01048

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