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* [[Jürgen Schmidhuber]] ('''2013'''). ''My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013''. [https://arxiv.org/abs/1312.5548 arXiv:1312.5548]
'''2014'''
* [[Mathematician#IGoodfellow|Ian Goodfellow]], [[Jean Pouget-Abadie]], [[Mehdi Mirza]], [[Bing Xu]], [[David Warde-Farley]], [[Sherjil Ozair]], [[Mathematician#ACourville|Aaron Courville]], [[Mathematician#YBengio|Yoshua Bengio]] ('''2014'''). ''Generative Adversarial Networks''. [https://arxiv.org/abs/1406.2661v1 arXiv:1406.2661v1]
* [[Mathematician#YDauphin|Yann Dauphin]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#CGulcehre|Caglar Gulcehre]], [[Mathematician#KCho|Kyunghyun Cho]], [[Mathematician#SGanguli|Surya Ganguli]], [[Mathematician#YBengio|Yoshua Bengio]] ('''2014'''). ''Identifying and attacking the saddle point problem in high-dimensional non-convex optimization''. [https://arxiv.org/abs/1406.2572 arXiv:1406.2572] <ref>[https://groups.google.com/d/msg/fishcooking/wOfRuzTSi_8/VgjN8MmSBQAJ high dimensional optimization] by [[Warren D. Smith]], [[Computer Chess Forums|FishCooking]], December 27, 2019</ref>
* [[Mathematician#KCho|Kyunghyun Cho]] ('''2014'''). ''[https://aaltodoc.aalto.fi/handle/123456789/12729 Foundations and Advances in Deep Learning]''. Ph.D. thesis, [https://en.wikipedia.org/wiki/Aalto_University Aalto University], supervisor [[Mathematician#JKarhunen|Juha Karhunen]]
* [[Eli David|Omid E. David]], [[Nathan S. Netanyahu]], [[Lior Wolf]] ('''2016'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-319-44781-0_11 DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess]''. [http://icann2016.org/ ICAAN 2016], [https://en.wikipedia.org/wiki/Lecture_Notes_in_Computer_Science Lecture Notes in Computer Science], Vol. 9887, [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer], [http://www.cs.tau.ac.il/~wolf/papers/deepchess.pdf pdf preprint] » [[DeepChess]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=61748 DeepChess: Another deep-learning based chess program] by [[Matthew Lai]], [[CCC]], October 17, 2016</ref> <ref>[http://icann2016.org/index.php/conference-programme/recipients-of-the-best-paper-awards/ ICANN 2016 | Recipients of the best paper awards]</ref>
* [[Dror Sholomon]], [[Eli David|Omid E. David]], [[Nathan S. Netanyahu]] ('''2016'''). ''[http://link.springer.com/chapter/10.1007/978-3-319-44781-0_21 DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem]''. [http://icann2016.org/ ICAAN 2016], [https://en.wikipedia.org/wiki/Lecture_Notes_in_Computer_Science Lecture Notes in Computer Science], Vol. 9887, [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer] <ref>[https://en.wikipedia.org/wiki/Jigsaw_puzzle Jigsaw puzzle from Wikipedia]</ref>
* [[Mathematician#IGoodfellow|Ian Goodfellow]], [[Mathematician#YBengio|Yoshua Bengio]], [[Mathematician#ACourville|Aaron Courville]] ('''2016'''). ''[http://www.deeplearningbook.org/ Deep Learning]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Volodymyr Mnih]], [[Adrià Puigdomènech Badia]], [[Mehdi Mirza]], [[Alex Graves]], [[Timothy Lillicrap]], [[Tim Harley]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Asynchronous Methods for Deep Reinforcement Learning''. [https://arxiv.org/abs/1602.01783 arXiv:1602.01783v2]
* [[Johannes Heinrich]], [[David Silver]] ('''2016'''). ''Deep Reinforcement Learning from Self-Play in Imperfect-Information Games''. [https://arxiv.org/abs/1603.01121 arXiv:1603.01121] <ref>[https://www.theguardian.com/technology/2016/mar/30/deepmind-poker-alphago-computer-casino?CMP=twt_a-technology_b-gdntech Could DeepMind try to conquer poker next?] by [https://www.theguardian.com/profile/alex-hern Alex Hern], [https://en.wikipedia.org/wiki/The_Guardian The Guardian], March 30, 2016</ref>
