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Modern applications and progress in deep learning research have created renewed interest for generative models of text and of images.
A family of algorithms for approximate Bayesian inference
Minka, Thomas P · 2001
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No-reference perceptual quality assessment of jpeg compressed images
Wang, Zhou, Sheikh, Hamid R, and Bovik, Alan C · 2002
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Information theory, inference and learning algorithms
MacKay, David JC · 2003
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A fast learning algorithm for deep belief nets
Hinton, Geoffrey E, Osindero, Simon, and Teh, Yee-Whye · 2006
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Consistency of pseudolikelihood estimation of fully visible boltzmann machines
Hyvärinen, Aapo · 2006
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Strictly proper scoring rules, prediction, and estimation
Gneiting, Tilmann and Raftery, Adrian E · 2007
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Multiscale texture synthesis
Han, Charles, Risser, Eric, Ramamoorthi, Ravi, and Grinspun, Eitan · 2008
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Approximate inference for the loss-calibrated bayesian
Lacoste-Julien, Simon, Huszár, Ferenc, and Ghahramani, Zoubin · 2011
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The neural autoregressive distribution estimator
Larochelle, Hugo and Murray, Iain · 2011
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Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis
Ou, Zhijian and Zhang, Yang · 2012
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Mixtures of conditional gaussian scale mixtures applied to multiscale image representations
Theis, Lucas, Hosseini, Reshad, Bethge, Matthias, and Hsiao, Chuhsing Kate · 2012
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Auto-encoding variational bayes
Kingma, Diederik P and Welling, Max · 2013
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Generative adversarial nets
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014
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Microsoft coco: Common objects in context
Scheduled sampling for sequence prediction with recurrent neural networks
Bengio, Samy, Vinyals, Oriol, Jaitly, Navdeep, and Shazeer, Noam M · 2015
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton, Emily, Chintala, Soumith, Szlam, Arthur, and Fergus, Rob · 2015
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Training generative neural networks via maximum mean discrepancy optimization
Dziugaite, Gintare Karolina, Roy, Daniel M, and Ghahramani, Zoubin · 2015
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Generative moment matching networks
Li, Yujia, Swersky, Kevin, and Zemel, Richard · 2015
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A neural network approach to context-sensitive generation of conversational responses
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Lin, Tsung-Yi, Maire, Michael, Belongie, Serge, Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, and Zitnick, C Lawrence · 2014
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Sequence to sequence learning with neural networks
Sutskever, Ilya, Vinyals, Oriol, and Le, Quoc VV · 2014
Cited alongside, same era.
Show and tell: A neural image caption generator
Vinyals, Oriol, Toshev, Alexander, Bengio, Samy, and Erhan, Dumitru · 2014
Cited alongside, same era.
Sordoni, Alessandro, Galley, Michel, Auli, Michael, Brockett, Chris, Ji, Yangfeng, Mitchell, Margaret, Nie, Jian-Yun, Gao, Jianfeng, and Dolan, Bill · 2015
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Generative image modeling using spatial lstms
Theis, Lucas and Bethge, Matthias · 2015
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A note on the evaluation of generative models
Theis, Lucas, van den Oord, Aaron, and Bethge, Matthias · 2015
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Vinyals, Oriol and Le, Quoc · 2015
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