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Neural network based generative models with discriminative components are a powerful approach for semi-supervised learning.
Bayesian learning for neural networks , volume 118
Neal, Radford M · 2012
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Auto-encoding variational Bayes
Kingma, Diederik P and Welling, Max · 2013
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Semi-supervised learning with deep generative models
Kingma, Diederik P, Mohamed, Shakir, Rezende, Danilo Jimenez, and Welling, Max · 2014
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Black box variational inference
Ranganath, Rajesh, Gerrish, Sean, and Blei, David M · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Rezende, Danilo Jimenez, Mohamed, Shakir, and Wierstra, Daan · 2014
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Weight uncertainty in neural networks
Blundell, Charles, Cornebise, Julien, Kavukcuoglu, Koray, and Wierstra, Daan · 2015
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Importance weighted autoencoders
Burda, Yuri, Grosse, Roger, and Salakhutdinov, Ruslan · 2015
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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Gal, Yarin and Ghahramani, Zoubin · 2015
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Probabilistic backpropagation for scalable learning of bayesian neural networks
Hernández-Lobato, José Miguel and Adams, Ryan P · 2015
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Improving semi-supervised learning with auxiliary deep generative models
Maaløe, Lars, Sønderby, Casper Kaae, Sønderby, Søren Kaae, and Winther, Ole · 2015
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Variational inference with normalizing flows
Rezende, Danilo Jimenez and Mohamed, Shakir · 2015
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Scalable bayesian optimization using deep neural networks
Snoek, Jasper, Rippel, Oren, Swersky, Kevin, Kiros, Ryan, Satish, Nadathur, Sundaram, Narayanan, Patwary, Md Mostofa Ali, Prabhat, Mr, and Adams, Ryan P · 2015
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Black-box α \alpha -divergence minimization
Hernández-Lobato, José Miguel, Li, Yingzhen, Rowland, Mark, Hernández-Lobato, Daniel, Bui, Thang D, and Turner, Richard E · 2016
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Categorical reparameterization with Gumbel-softmax
Jang, Eric, Gu, Shixiang, and Poole, Ben · 2016
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Auxiliary deep generative models
Maaløe, Lars, Sønderby, Casper Kaae, Sønderby, Søren Kaae, and Winther, Ole · 2016
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Improving variational auto-encoders using householder flow
Tomczak, Jakub M and Welling, Max · 2016
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Deep bayesian active learning with image data
Gal, Yarin, Islam, Riashat, and Ghahramani, Zoubin · 2017
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Learning and policy search in stochastic dynamical systems with Bayesian neural networks
Depeweg, Stefan, Hernández-Lobato, José Miguel, Doshi-Velez, Finale, and Udluft, Steffen · 2016
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Learning multimodal transition dynamics for model-based reinforcement learning
Moerland, Thomas M, Broekens, Joost, and Jonker, Catholijn M · 2017
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