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Recurrent neural networks like long short-term memory (LSTM) are important architectures for sequential prediction tasks.
Learning representations by back-propagating errors
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams · 1988
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Evaluating probabilities under high-dimensional latent variable models
Iain Murray and Ruslan R Salakhutdinov · 2009
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Binarized mnist dataset
Hugo Larochelle · 2011
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Understanding the exploding gradient problem
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio · 2012
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Learning stochastic recurrent networks
Justin Bayer and Christian Osendorfer · 2014
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars)
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J Smola, Jing Jiang, and Chong Wang · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Stochastic Gradient VB and the Variational Auto-Encoder
Diederik P Kingma and Max Welling · 2014
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Iterative neural autoregressive distribution estimator nade-k
Tapani Raiko, Yao Li, Kyunghyun Cho, and Yoshua Bengio · 2014
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Markov chain monte carlo and variational inference: Bridging the gap
Tim Salimans, Diederik P Kingma, and Max Welling · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Recurrent neural network regularization
Wojciech Zaremba, Ilya Sutskever, and Oriol Vinyals · 2014
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Training opposing directed models using geometric mean matching
Jörg Bornschein, Samira Shabanian, Asja Fischer, and Yoshua Bengio · 2015
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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2015
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A recurrent latent variable model for sequential data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C Courville, and Yoshua Bengio · 2015
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Mathieu Germain, Karol Gregor, Iain Murray, and Hugo Larochelle · 2015
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Zoneout: Regularizing rnns by randomly preserving hidden activations
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, and Chris Pal · 2016
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Samplernn: An unconditional end-to-end neural audio generation model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, and Yoshua Bengio · 2016
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Pixel recurrent neural networks
Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
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Theano: A Python framework for fast computation of mathematical expressions
Theano Development Team · 2016
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