25,161
edits
Changes
no edit summary
* [[Guillaume Desjardins]], [[Karen Simonyan]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Koray Kavukcuoglu]] ('''2015'''). ''Natural Neural Networks''. [https://arxiv.org/abs/1507.00210 arXiv:1507.00210]
* [[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>
* [[Mathematician#YLeCun|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>
* [[Matthew Lai]] ('''2015'''). ''Giraffe: Using Deep Reinforcement Learning to Play Chess''. M.Sc. thesis, [https://en.wikipedia.org/wiki/Imperial_College_London Imperial College London], [http://arxiv.org/abs/1509.01549v1 arXiv:1509.01549v1] » [[Giraffe]]
* [[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]
* [[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]], [[Mathematician#RHadsell|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]], [[Mathematician#YLeCun|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>
'''2017'''
* [[Yutian Chen]], [[Matthew W. Hoffman]], [[Sergio Gomez Colmenarejo]], [[Misha Denil]], [[Timothy Lillicrap]], [[Matthew Botvinick]], [[Nando de Freitas]] ('''2017'''). ''Learning to Learn without Gradient Descent by Gradient Descent''. [https://arxiv.org/abs/1611.03824v6 arXiv:1611.03824v6], [http://dblp.uni-trier.de/db/conf/icml/icml2017.html ICML 2017]
