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We present a principled approach to incorporating labels in VAEs that captures the rich characteristic information associated with those labels.
Intelligence without representation
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Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
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Deep learning face attributes in the wild
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Yarin Gal · 2016
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beta-VAE: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2016
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Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, and Ole Winther · 2016
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Rajesh Ranganath, Dustin Tran, and David Blei · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Semi-supervised generation with cluster-aware generative models
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Multimodal generative models for scalable weakly-supervised learning
Mike Wu and Noah Goodman · 2018
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Elegant: Exchanging latent encodings with gan for transferring multiple face attributes
Taihong Xiao, Jiapeng Hong, and Jinwen Ma · 2018
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Disentangling disentanglement in variational autoencoders
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Variational mixture-of-experts autoencoders for multi-modal deep generative models
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