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A recommender system's basic task is to estimate how users will respond to unseen items.
Backpropagation applied to handwritten zip code recognition
Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel · 1989
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Finding structure in time
Jeffrey L. Elman · 1990
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Learning long-term dependencies with gradient descent is difficult
Yoshua Bengio, Patrice Simard, and Paolo Frasconi · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Learning to forget: Continual prediction with LSTM
Felix A. Gers, Jürgen Schmidhuber, and Fred Cummins · 2000
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Mining and summarizing customer reviews
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Effect of Prior Domain Knowledge and Headings on Processing of Informative Text
John R. Surber and Mark Schroeder · 2006
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Sentiment summarization: Evaluating and learning user preferences
Kevin Lerman, Sasha Blair-Goldensohn, and Ryan McDonald · 2009
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Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey E. Hinton · 2011
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Lecture 6.5- RMSprop: Divide the gradient by a running average of its recent magnitude
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Generating sequences with recurrent neural networks
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From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Julian John McAuley and Jure Leskovec · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Translating videos to natural language using deep recurrent neural networks
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, and Kate Saenko · 2014
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
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Semi-supervised sequence learning
Andrew M Dai and Quoc V Le · 2015
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Character-based neural machine translation
Wang Ling, Isabel Trancoso, Chris Dyer, and Alan W Black · 2015
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A critical review of recurrent neural networks for sequence learning
Zachary C. Lipton, John Berkowitz, and Charles Elkan · 2015
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Andrej Karpathy and Li Fei-Fei · 2014
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Deep captioning with multimodal recurrent neural networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, and Alan Yuille · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
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Theano: A cpu and gpu math compiler in python
James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, and Yoshua Bengio · 2015
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Text understanding from scratch
Xiang Zhang and Yann LeCun · 2015
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