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Srivastava, Rupesh Kumar, Klaus Greff, and Jürgen Schmidhuber. "Highway networks." arXiv preprint arXiv:1505.00387 (2015).
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Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li. "Incorporating Copying Mechanism in Sequence-to-Sequence Learning." ACL (2016)
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Gulcehre, Caglar, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, and Yoshua Bengio. "Pointing the Unknown Words." arXiv preprint arXiv:1603.08148 (2016).
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Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma. "Dual Learning for Machine Translation." arXiv preprint arXiv:1611.00179 (2016).
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Rezende, Danilo Jimenez, Shakir Mohamed, and Daan Wierstra. "Stochastic backpropagation and approximate inference in deep generative models." arXiv preprint arXiv:1401.4082 (2014).
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Kingma, Diederik P., and Max Welling. "Auto-encoding variational bayes." arXiv preprint arXiv:1312.6114 (2013).
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Fabius, Otto, and Joost R. van Amersfoort. "Variational recurrent auto-encoders." arXiv preprint arXiv:1412.6581 (2014).
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Bayer, Justin, and Christian Osendorfer. "Learning stochastic recurrent networks." arXiv preprint arXiv:1411.7610 (2014).
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Bowman, Samuel R., Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, and Samy Bengio. "Generating sentences from a continuous space." arXiv preprint arXiv:1511.06349 (2015).
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Gregor, Karol, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra. "DRAW: A recurrent neural network for image generation." arXiv preprint arXiv:1502.04623 (2015).
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Makhzani, Alireza, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow. "Adversarial autoencoders." arXiv preprint arXiv:1511.05644 (2015).
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Johnson, Matthew J., David Duvenaud, Alexander B. Wiltschko, Sandeep R. Datta, and Ryan P. Adams. "Composing graphical models with neural networks for structured representations and fast inference." arXiv preprint arXiv:1603.06277 (2016).
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Chung, Junyoung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, and Yoshua Bengio. "A recurrent latent variable model for sequential data." In Advances in neural information processing systems, pp. 2980-2988. 2015.
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Eslami, S. M., Nicolas Heess, Theophane Weber, Yuval Tassa, Koray Kavukcuoglu, and Geoffrey E. Hinton. "Attend, Infer, Repeat: Fast Scene Understanding with Generative Models." arXiv preprint arXiv:1603.08575 (2016).
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【GAN】:
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Goodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. "Generative adversarial nets." In Advances in Neural Information Processing Systems, pp. 2672-2680. 2014
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Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial networks." arXiv preprint arXiv:1511.06434 (2015).
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Denton, Emily L., Soumith Chintala, and Rob Fergus. "Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks." In Advances in neural information processing systems, pp. 1486-1494. 2015.
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Dosovitskiy, Alexey, Jost Tobias Springenberg, and Thomas Brox. "Learning to generate chairs with convolutional neural networks." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1538-1546. 2015.
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Mathieu, Michael, Camille Couprie, and Yann LeCun. "Deep multi-scale video prediction beyond mean square error." arXiv preprint arXiv:1511.05440 (2015).
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Salimans, Tim, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen. "Improved Techniques for Training GANs." arXiv preprint arXiv:1606.03498 (2016).
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Chen, Xi, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets." arXiv preprint arXiv:1606.03657 (2016).
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Im, Daniel Jiwoong, Chris Dongjoo Kim, Hui Jiang, and Roland Memisevic. "Generating images with recurrent adversarial networks." arXiv preprint arXiv:1602.05110 (2016).
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Yu, Lantao, Weinan Zhang, Jun Wang, and Yong Yu. "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." arXiv preprint arXiv:1609.05473 (2016).
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Augustus Odena, Christopher Olah, Jonathon Shlens. "Conditional Image Synthesis With Auxiliary Classifier GANs." arXiv preprint arXiv:1610.09585 (2016).
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Ian Goodfellow. "NIPS Tutorial: GANs", NIPS, 2016
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