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Deep learning yields great results across many fields, from speech recognition, image classification, to translation.
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Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng · 2011
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Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
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Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, and Massimiliano Pontil · 2012
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom · 2013
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Multi-task learning in deep neural networks for improved phoneme recognition
Michael L. Seltzer and Jasha Droppo · 2013
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Xception: Deep learning with depthwise separable convolutions
Francois Chollet · 2016
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Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, and Koray Kavukcuoglu · 2016
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Can active memory replace attention?
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
Quoc V. Le Maxim Krikun Yonghui Wu Zhifeng Chen Nikhil Thorat Fernanda Viégas Martin Wattenberg Greg Corrado Macduff Hughes Jeffrey Dean Melvin Johnson, Mike Schuster · 2016
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Depthwise separable convolutions for neural machine translation
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