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In the loss function of Variational Autoencoders there is a well known tension between two components: the reconstruction loss, improving the quality of the resulting images, and the Kullback-Leibler divergence, acting as a regularizer of the latent space.
Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2013
Earlier work this paper cites.
Generative Adversarial Networks
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, and Samy Bengio · 2015
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Importance weighted autoencoders
Yuri Burda, Roger B. Grosse, and Ruslan Salakhutdinov · 2015
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian J. Goodfellow · 2015
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Tutorial on variational autoencoders
Carl Doersch · 2016
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Elbo surgery: yet another way to carve up the variational evidence lower bound
Matthew D. Hoffman and Matthew J. Johnson · 2016
Cited alongside, same era.
Improving variational autoencoders with inverse autoregressive flow
Diederik P. Kingma, Tim Salimans, Rafal Józefowicz, Xi Chen, Ilya Sutskever, and Max Welling · 2016
Cited alongside, same era.
Improving variational inference with inverse autoregressive flow
Diederik P. Kingma, Tim Salimans, and Max Welling · 2016
Cited alongside, same era.
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 · 2017
Cited alongside, same era.
Ilya O. Tolstikhin, Olivier Bousquet, Sylvain Gelly, and Bernhard Schölkopf · 2017
Cited alongside, same era.
Understanding disentangling in beta-vae
Christopher P. Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner · 2018
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Distribution matching in variational inference, 2018
Mihaela Rosca, Balaji Lakshminarayanan, and Shakir Mohamed · 2018
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VAE with a vampprior
Jakub M. Tomczak and Max Welling · 2018
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About generative aspects of variational autoencoders
Andrea Asperti · 2019
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Sparsity in variational autoencoders
Andrea Asperti · 2019
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Diagnosing and enhancing vae models
Bin Dai and David P. Wipf · 2019
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Tackling over-pruning in variational autoencoders
Serena Yeung, Anitha Kannan, Yann Dauphin, and Li Fei-Fei · 2017
Cited alongside, same era.
Fixing a broken ELBO
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, and Kevin Murphy · 2018
Cited alongside, same era.
Resampled priors for variational autoencoders
Matthias Bauer and Andriy Mnih · 2018
Cited alongside, same era.
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, and Bernhard Schölkopf · 2019
Later among the works it cites.