Construct · 1 fields · 1 citations

posterior collapse: a standalone construct

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Machine learning

a variational autoencoder's approximate posterior falls back to the prior, so the latent code carries almost no information about the input.

In machine learning, posterior collapse refers to a variational autoencoder's approximate posterior falls back to the prior, so the latent code carries almost no information about the input. This meaning comes from Lucas (2019) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

autoencoder1 fields · 1 citationsanchor · a standalone construct code3 fields · 6 citationsjingle · one word, three constructs collapse4 fields · 5 citationsjingle · one word, four constructs

References

Lucas, J., Tucker, G., Grosse, R., & Norouzi, M. (2019). Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. arXiv. https://doi.org/10.48550/arxiv.1911.02469

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