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Recent work on generative modeling of text has found that variational auto-encoders (VAE) incorporating LSTM decoders perform worse than simpler LSTM language models (Bowman et al., 2015).
Recurrent neural network based language model
Mikolov, Tomas, Karafiát, Martin, Burget, Lukas, Cernockỳ, Jan, and Khudanpur, Sanjeev · 2010
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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A neural autoregressive topic model
Larochelle, Hugo and Lauly, Stanislas · 2012
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Auto-encoding variational bayes
Kingma, Diederik P and Welling, Max · 2013
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Learning stochastic recurrent networks
Bayer, Justin and Osendorfer, Christian · 2014
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Adam: A method for stochastic optimization
Kingma, Diederik and Ba, Jimmy · 2014
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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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Distributed representations of sentences and documents
Le, Quoc V and Mikolov, Tomas · 2014
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Neural variational inference and learning in belief networks
Mnih, Andriy and Gregor, Karol · 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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Generating sentences from a continuous space
Bowman, Samuel R, Vilnis, Luke, Vinyals, Oriol, Dai, Andrew M, Jozefowicz, Rafal, and Bengio, Samy · 2015
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A recurrent latent variable model for sequential data
Chung, Junyoung, Kastner, Kyle, Dinh, Laurent, Goel, Kratarth, Courville, Aaron C, and Bengio, Yoshua · 2015
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Semi-supervised sequence learning
Dai, Andrew M and Le, Quoc V · 2015
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Draw: A recurrent neural network for image generation
Gregor, Karol, Danihelka, Ivo, Graves, Alex, Rezende, Danilo Jimenez, and Wierstra, Daan · 2015
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Skip-thought vectors
Kiros, Ryan, Zhu, Yukun, Salakhutdinov, Ruslan R, Zemel, Richard, Urtasun, Raquel, Torralba, Antonio, and Fidler, Sanja · 2015
Cited alongside, same era.
Makhzani, Alireza, Shlens, Jonathon, Jaitly, Navdeep, Goodfellow, Ian, and Frey, Brendan · 2015
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Sequential neural models with stochastic layers
Fraccaro, Marco, Sønderby, Søren Kaae, Paquet, Ulrich, and Winther, Ole · 2016
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Towards conceptual compression
Gregor, Karol, Besse, Frederic, Rezende, Danilo Jimenez, Danihelka, Ivo, and Wierstra, Daan · 2016
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Deep residual learning for image recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2016
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Categorical reparameterization with gumbel-softmax
Jang, Eric, Gu, Shixiang, and Poole, Ben · 2016
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Improving variational inference with inverse autoregressive flow
Kingma, Diederik P, Salimans, Tim, and Welling, Max · 2016
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Rezende, Danilo Jimenez and Mohamed, Shakir · 2015
Cited alongside, same era.
Markov chain monte carlo and variational inference: Bridging the gap
Salimans, Tim, Kingma, Diederik P, Welling, Max, et al · 2015
Cited alongside, same era.
Document modeling with gated recurrent neural network for sentiment classification
Tang, Duyu, Qin, Bing, and Liu, Ting · 2015
Cited alongside, same era.
Multi-scale context aggregation by dilated convolutions
Yu, Fisher and Koltun, Vladlen · 2015
Cited alongside, same era.
Character-level convolutional networks for text classification
Zhang, Xiang, Zhao, Junbo, and LeCun, Yann · 2015
Cited alongside, same era.
Chen, Xi, Kingma, Diederik P, Salimans, Tim, Duan, Yan, Dhariwal, Prafulla, Schulman, John, Sutskever, Ilya, and Abbeel, Pieter · 2016
Cited alongside, same era.
Hu, Zhiting, Yang, Zichao, Liang, Xiaodan, Salakhutdinov, Ruslan, and Xing, Eric P
Cited in the paper.
Maddison, Chris J, Mnih, Andriy, and Teh, Yee Whye · 2016
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Neural variational inference for text processing
Miao, Yishu, Yu, Lei, and Blunsom, Phil · 2016
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A hierarchical latent variable encoder-decoder model for generating dialogues
Serban, Iulian Vlad, Sordoni, Alessandro, Lowe, Ryan, Charlin, Laurent, Pineau, Joelle, Courville, Aaron, and Bengio, Yoshua · 2016
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Attribute2image: Conditional image generation from visual attributes
Yan, Xinchen, Yang, Jimei, Sohn, Kihyuk, and Lee, Honglak · 2016
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Hierarchical attention networks for document classification
Yang, Zichao, Yang, Diyi, Dyer, Chris, He, Xiaodong, Smola, Alex, and Hovy, Eduard · 2016
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Variational neural machine translation
Zhang, Biao, Xiong, Deyi, Su, Jinsong, Duan, Hong, and Zhang, Min · 2016
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