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Dataset augmentation, the practice of applying a wide array of domain-specific transformations to synthetically expand a training set, is a standard tool in supervised learning.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Smote: synthetic minority over-sampling technique
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer · 2002
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Temporal classification: Extending the classification paradigm to multivariate time series
Mohammed Waleed Kadous · 2002
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Support vector machines of interval-based features for time series classification
Juan José Rodríguez, Carlos J Alonso, and José A Maestro · 2005
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The UJIpenchars database: a pen-based database of isolated handwritten characters
David Llorens, Federico Prat, Andrés Marzal, Juan Miguel Vilar, María José Castro, Juan-Carlos Amengual, Sergio Barrachina, Antonio Castellanos, Salvador España Boquera, JA Gómez, et al · 2008
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Deep learners benefit more from Out-of-Distribution examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, and Others · 2011
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Spoken Arabic digits recognition using MFCC based on GMM
Nacereddine Hammami, Mouldi Bedda, and Nadir Farah · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Better mixing via deep representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, and Salah Rifai · 2013
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Exploring the trade-off between accuracy and observational latency in action recognition
Chris Ellis, Syed Zain Masood, Marshall F Tappen, Joseph J Laviola Jr, and Rahul Sukthankar · 2013
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UCI machine learning repository, 2013
Moshe Lichman · 2013
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Real-time human pose recognition in parts from single depth images
Jamie Shotton, Toby Sharp, Alex Kipman, Andrew Fitzgibbon, Mark Finocchio, Andrew Blake, Mat Cook, and Richard Moore · 2013
Cited alongside, same era.
Hidden Markov model on a unit hypersphere space for gesture trajectory recognition
Jounghoon Beh, David K Han, Ramani Durasiwami, and Hanseok Ko · 2014
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Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Auto-encoding variational bayes
Diederik Kingma and Max Welling · 2014
Cited alongside, same era.
Addressing the rare word problem in neural machine translation
Minh-Thang Luong, Ilya Sutskever, Quoc V Le, Oriol Vinyals, and Wojciech Zaremba · 2015
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Exploring data augmentation for improved singing voice detection with neural networks
Jan Schlüter and Thomas Grill · 2015
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Unsupervised learning of video representations using lstms
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov · 2015
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Sequence to sequence-video to text
Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, and Kate Saenko · 2015
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A neural conversational model
Oriol Vinyals and Quoc Le · 2015
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GSNs: generative stochastic networks
Guillaume Alain, Yoshua Bengio, Li Yao, Jason Yosinski, Éric Thibodeau-Laufer, Saizheng Zhang, and Pascal Vincent · 2016
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Sherjil Ozair and Yoshua Bengio · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Cited alongside, same era.
Semi-supervised sequence learning
Andrew M Dai and Quoc V Le · 2015
Cited alongside, same era.
On using very large target vocabulary for neural machine translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
Cited alongside, same era.
Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition
Xiangang Li and Xihong Wu · 2015
Cited alongside, same era.
Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton
Cited in the paper.
Later among the works it cites.
End-to-end attention-based large vocabulary speech recognition
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Yoshua Bengio, et al · 2016
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Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
William Chan, Navdeep Jaitly, Quoc V Le, and Oriol Vinyals · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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HDidx: High-dimensional indexing for efficient approximate nearest neighbor search
Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, and Steven CH Hoi · 2016
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Wide residual networks
Sergey Zagoruyko and Nikos Komodakis · 2016
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