Construct · 1 fields · 1 citations

vector quantized variational autoencoder: a standalone construct

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Machine learning

an autoencoder whose encoder outputs are snapped to the nearest entries of a learned codebook, giving discrete latent codes paired with a learned prior.

In machine learning, vector quantized variational autoencoder refers to an autoencoder whose encoder outputs are snapped to the nearest entries of a learned codebook, giving discrete latent codes paired with a learned prior. This meaning comes from Oord (2017) in arXiv.[1]

Unit
Recovery means
Measured by

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autoencoder1 fields · 1 citationsanchor · a standalone construct latent4 fields · 6 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Oord, A. v. d., Vinyals, O., & Kavukcuoglu, K. (2017). Neural Discrete Representation Learning. arXiv. https://doi.org/10.48550/arxiv.1711.00937

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