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* [[Nikolai Yakovenko]], [[Liangliang Cao]], [[Colin Raffel]], [[James Fan]] ('''2015'''). ''Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games''. [https://arxiv.org/abs/1509.06731 arXiv:1509.06731]
* [https://github.com/andravin Andrew Lavin], [https://github.com/scott-gray Scott Gray] ('''2015'''). ''Fast Algorithms for Convolutional Neural Networks''. [https://arxiv.org/abs/1509.09308 arXiv:1509.09308] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=66025&start=3 Re: To TPU or not to TPU...] by [[Rémi Coulom]], [[CCC]], December 16, 2017</ref>
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Joel Veness]], [[Marc G. Bellemare]], [[Alex Graves]], [[Martin Riedmiller]], [[Andreas K. Fidjeland]], [[Georg Ostrovski]], [[Stig Petersen]], [[Charles Beattie]], [[Amir Sadik]], [[Ioannis Antonoglou]], [[Helen King]], [[Dharshan Kumaran]], [[Daan Wierstra]], [[Shane Legg]], [[Demis Hassabis]] ('''2015'''). ''[http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html Human-level control through deep reinforcement learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 518
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2015'''). ''Online Batch Selection for Faster Training of Neural Networks''. [https://arxiv.org/abs/1511.06343 arXiv:1511.06343]
* [[Yuandong Tian]], [[Yan Zhu]] ('''2015'''). ''Better Computer Go Player with Neural Network and Long-term Prediction''. [http://arxiv.org/abs/1511.06410 arXiv:1511.06410], [http://nuit-blanche.blogspot.de/2016/02/iclr-2016-list-of-accepted-papers.html ICLR 2016] <ref>[http://www.technologyreview.com/view/544181/how-facebooks-ai-researchers-built-a-game-changing-go-engine/?utm_campaign=socialsync&utm_medium=social-post&utm_source=facebook How Facebook’s AI Researchers Built a Game-Changing Go Engine | MIT Technology Review], December 04, 2015</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=58514 Combining Neural Networks and Search techniques (GO)] by Michael Babigian, [[CCC]], December 08, 2015</ref> » [[Go]]
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2016'''). ''CMA-ES for Hyperparameter Optimization of Deep Neural Networks''. [https://arxiv.org/abs/1604.07269 arXiv:1604.07269] <ref>[https://en.wikipedia.org/wiki/CMA-ES CMA-ES from Wikipedia]</ref>
* [[Dale Schuurmans]], [[Martin Zinkevich]] ('''2016'''). ''[https://research.google.com/pubs/pub45550.html Deep Learning Games]''. [https://nips.cc/Conferences/2016/Schedule?type=Poster NIPS 2016]
* [[Mathematician#AARusu|Andrei A. Rusu]], [[Neil C. Rabinowitz]], [[Guillaume Desjardins]], [[Hubert Soyer]], [[James Kirkpatrick]], [[Koray Kavukcuoglu]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Raia Hadsell]] ('''2016'''). ''Progressive Neural Networks''. [https://arxiv.org/abs/1606.04671 arXiv:1606.04671]
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2016'''). ''SGDR: Stochastic Gradient Descent with Warm Restarts''. [https://arxiv.org/abs/1608.03983 arXiv:1608.03983]
* [[Shixiang Gu]], [[Ethan Holly]], [[Timothy Lillicrap]], [[Sergey Levine]] ('''2016'''). ''Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates''. [https://arxiv.org/abs/1610.00633 arXiv:1610.00633]
* [[Jane X Wang]], [[Zeb Kurth-Nelson]], [[Dhruva Tirumala]], [[Hubert Soyer]], [[Joel Z Leibo]], [[Rémi Munos]], [[Charles Blundell]], [[Dharshan Kumaran]], [[Matthew Botvinick]] ('''2016'''). ''Learning to reinforcement learn''. [https://arxiv.org/abs/1611.05763 arXiv:1611.05763]
* [[Jonathan Rosenthal]] ('''2016'''). ''[https://www.research-collection.ethz.ch/handle/20.500.11850/156354 Deep Learning for Go]''. B.Sc. thesis, [[ETH Zurich]]
* [[James Kirkpatrick]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Neil C. Rabinowitz]], [[Joel Veness]], [[Guillaume Desjardins]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Kieran Milan]], [[John Quan]], [[Tiago Ramalho]], [[Agnieszka Grabska-Barwinska]], [[Demis Hassabis]], [[Claudia Clopath]], [[Dharshan Kumaran]], [[Raia Hadsell]] ('''2016'''). ''Overcoming catastrophic forgetting in neural networks''. [https://arxiv.org/abs/1612.00796 arXiv:1612.00796] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=70704 catastrophic forgetting] by [[Daniel Shawul]], [[CCC]], May 09, 2019</ref>
* [https://dblp.uni-trier.de/pers/hd/n/Niu:Zhenxing Zhenxing Niu], [https://dblp.uni-trier.de/pers/hd/z/Zhou:Mo Mo Zhou], [https://dblp.uni-trier.de/pers/hd/w/Wang_0003:Le Le Wang], [[Xinbo Gao]], [https://dblp.uni-trier.de/pers/hd/h/Hua_0001:Gang Gang Hua] ('''2016'''). ''Ordinal Regression with Multiple Output CNN for Age Estimation''. [https://dblp.uni-trier.de/db/conf/cvpr/cvpr2016.html CVPR 2016], [https://www.cv-foundation.org/openaccess/content_cvpr_2016/app/S21-20.pdf pdf]
* [[Li Jing]], [[Yichen Shen]], [[Tena Dubček]], [[John Peurifoy]], [[Scott Skirlo]], [[Yann LeCun]], [[Max Tegmark]], [[Marin Soljačić]] ('''2016'''). ''Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs''. [https://arxiv.org/abs/1612.05231 arXiv:1612.05231] <ref>[http://talkchess.com/forum3/viewtopic.php?f=2&t=74059 Stockfish NN release (NNUE)] by [[Henk Drost]], [[CCC]], May 31, 2020 » [[Stockfish]]</ref>
