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Generic generation and manipulation of text is challenging and has limited success compared to recent deep generative modeling in visual domain.
The “wake-sleep” algorithm for unsupervised neural networks
Hinton, Geoffrey E, Dayan, Peter, Frey, Brendan J, and Neal, Radford M · 1995
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Semi-supervised learning by entropy minimization
Grandvalet, Yves, Bengio, Yoshua, et al · 2004
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Recognizing contextual polarity in phrase-level sentiment analysis
Wilson, Theresa, Wiebe, Janyce, and Hoffmann, Paul · 2005
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Recurrent neural network based language model
Mikolov, Tomas, Karafiát, Martin, Burget, Lukas, Cernockỳ, Jan, and Khudanpur, Sanjeev · 2010
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Auto-encoding variational Bayes
Kingma, Diederik P and Welling, Max · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Socher, Richard, Perelygin, Alex, Wu, Jean Y, Chuang, Jason, Manning, Christopher D, Ng, Andrew Y, Potts, Christopher, et al · 2013
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POMDP-based statistical spoken dialog systems: A review
Young, Steve, Gašić, Milica, Thomson, Blaise, and Williams, Jason D · 2013
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Neural machine translation by jointly learning to align and translate
Bahdanau, Dzmitry, Cho, Kyunghyun, and Bengio, Yoshua · 2014
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Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
Diao, Qiming, Qiu, Minghui, Wu, Chao-Yuan, Smola, Alexander J, Jiang, Jing, and Wang, Chong · 2014
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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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Semi-supervised learning with deep generative models
Kingma, Diederik P, Mohamed, Shakir, Rezende, Danilo Jimenez, and Welling, Max · 2014
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Training deep neural networks on noisy labels with bootstrapping
Reed, Scott, Lee, Honglak, Anguelov, Dragomir, Szegedy, Christian, Erhan, Dumitru, and Rabinovich, Andrew · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Sutskever, Ilya, Vinyals, Oriol, and Le, Quoc V · 2014
Cited alongside, same era.
Generating sentences from a continuous space
Bowman, Samuel R, Vilnis, Luke, Vinyals, Oriol, Dai, Andrew M, Jozefowicz, Rafal, and Bengio, Samy · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, Alec, Metz, Luke, and Chintala, Soumith · 2015
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Show and tell: A neural image caption generator
Vinyals, Oriol, Toshev, Alexander, Bengio, Samy, and Erhan, Dumitru · 2015
Unsupervised sentence representation learning with adversarial auto-encoder
Tang, Shuai, Jin, Hailin, Fang, Chen, and Wang, Zhaowen · 2016
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Pixel recurrent neural networks
van den Oord, Aaron, Kalchbrenner, Nal, and Kavukcuoglu, Koray · 2016
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Generating text via adversarial training
Zhang, Yizhe, Gan, Zhe, and Carin, Lawrence · 2016
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Generative visual manipulation on the natural image manifold
Zhu, Jun-Yan, Krähenbühl, Philipp, Shechtman, Eli, and Efros, Alexei A · 2016
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On unifying deep generative models
Hu, Zhiting, Yang, Zichao, Salakhutdinov, Ruslan, and Xing, Eric P · 2017
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Learning disentangled representations in deep generative models
Siddharth, N., Paige, Brooks, Desmaison, Alban, Meent, Jan-Willem van de, Wood, Frank, Goodman, Noah D., Kohli, Pushmeet, and Torr, Philip H.S · 2017
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Cited alongside, same era.
Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Wen, Tsung-Hsien, Gasic, Milica, Mrksic, Nikola, Su, Pei-Hao, Vandyke, David, and Young, Steve · 2015
Cited alongside, same era.
InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
Chen, Xi, Duan, Yan, Houthooft, Rein, Schulman, John, Sutskever, Ilya, and Abbeel, Pieter · 2016
Cited alongside, same era.
Generating images with perceptual similarity metrics based on deep networks
Dosovitskiy, Alexey and Brox, Thomas · 2016
Cited alongside, same era.
GANs for sequences of discrete elements with the Gumbel-softmax distribution
Kusner, Matt and Hernández-Lobato, José · 2016
Cited alongside, same era.
Autoencoding beyond pixels using a learned similarity metric
Larsen, Anders Boesen Lindbo, Sønderby, Søren Kaae, and Winther, Ole · 2016
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier GANs
Odena, Augustus, Olah, Christopher, and Shlens, Jonathon · 2016
Cited alongside, same era.
Harnessing deep neural networks with logic rules
Hu, Zhiting, Ma, Xuezhe, Liu, Zhengzhong, Hovy, Eduard, and Xing, Eric
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Unsupervised cross-domain image generation
Taigman, Yaniv, Polyak, Adam, and Wolf, Lior · 2017
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Improved variational autoencoders for text modeling using dilated convolutions
Yang, Zichao, Hu, Zhiting, Salakhutdinov, Ruslan, and Berg-Kirkpatrick, Taylor · 2017
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SeqGAN: sequence generative adversarial nets with policy gradient
Yu, Lantao, Zhang, Weinan, Wang, Jun, and Yu, Yong · 2017
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Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction
Zhou, Chunting and Neubig, Graham · 2017
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Texar: A modularized, versatile, and extensible toolkit for text generation
Hu, Zhiting, Shi, Haoran, Yang, Zichao, Tan, Bowen, Zhao, Tiancheng, He, Junxian, Wang, Wentao, Yu, Xingjiang, Qin, Lianhui, Wang, Di, Ma, Xuezhe, Liu, Hector, Liang, Xiaodan, Zhu, Wanrong, Sachan, Devendra Singh, and Xing, Eric · 2018
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