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Deep Learning

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==2010 ...==
* [https://scholar.google.ca/citations?user=tJ_PrzgAAAAJ&hl=en Abdelrahman Mohamed], [https://scholar.google.ca/citations?user=ghbWy-0AAAAJ&hl=en George E. Dahl], [[Mathematician#GEHinton|Geoffrey E. Hinton]] ('''2011'''). ''Acoustic Modeling using Deep Belief Networks''. [[IEEE#TSP|IEEE Transactions on Audio, Speech, and Language Processing]], Vol. 20, No. 1, [http://www.cs.toronto.edu/~asamir/papers/speechDBN_jrnl.pdf pdf]
* [https://en.wikipedia.org/wiki/Yoshua_Bengio [Mathematician#YBengio|Yoshua Bengio]] ('''2012'''). ''Deep Learning of Representations for Unsupervised and Transfer Learning''. [http://www.jmlr.org/proceedings/papers/v27/ JMLR: Workshop on Unsupervised and Transfer Learning, 2011], [http://www.jmlr.org/proceedings/papers/v27/bengio12a/bengio12a.pdf pdf]
'''2013'''
* [[Mathematician#GMontavon|Grégoire Montavon]] ('''2013'''). ''[https://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4467 On Layer-Wise Representations in Deep Neural Networks]''. Ph.D. Thesis, [https://en.wikipedia.org/wiki/Technical_University_of_Berlin TU Berlin], advisor [[Mathematician#KRMueller|Klaus-Robert Müller]]
* [[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]], [[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]]
* [https://scholar.google.fr/citations?user=MN9Kfg8AAAAJ&hl=en Zachary C. Lipton], [https://www.linkedin.com/in/john-berkowitz-92b24a7b John Berkowitz], [[Charles Elkan]] ('''2015'''). ''A Critical Review of Recurrent Neural Networks for Sequence Learning''. [https://arxiv.org/abs/1506.00019 arXiv:1506.00019v4]
* [[Barak Oshri]], [[Nishith Khandwala]] ('''2015'''). ''Predicting Moves in Chess using Convolutional Neural Networks''. [http://cs231n.stanford.edu/reports/ConvChess.pdf pdf] <ref>[https://github.com/BarakOshri/ConvChess GitHub - BarakOshri/ConvChess: Predicting Moves in Chess Using Convolutional Neural Networks]</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=63458 ConvChess CNN] by [[Brian Richardson]], [[CCC]], March 15, 2017</ref>
* [[Yann LeCun]], [[Mathematician#YBengio|Yoshua Bengio]], [[Mathematician#GEHinton|Geoffrey E. Hinton]] ('''2015'''). ''[http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html Deep Learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 521 <ref>[[Jürgen Schmidhuber]] ('''2015''') ''[http://people.idsia.ch/~juergen/deep-learning-conspiracy.html Critique of Paper by "Deep Learning Conspiracy" (Nature 521 p 436)]''.</ref>
* [[Peter H. Jin]], [[Kurt Keutzer]] ('''2015'''). ''Convolutional Monte Carlo Rollouts in Go''. [http://arxiv.org/abs/1512.03375 arXiv:1512.03375] » [[Go]], [[Monte-Carlo Tree Search|MCTS]]
* [https://scholar.google.com/citations?user=DhtAFkwAAAAJ Kaiming He], [https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en Xiangyu Zhang], [http://shaoqingren.com/ Shaoqing Ren], [http://www.jiansun.org/ Jian Sun] ('''2015'''). ''Deep Residual Learning for Image Recognition''. [https://arxiv.org/abs/1512.03385 arXiv:1512.03385]
* [[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]], [[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>
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