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'''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]
* [https://dblp.org/pers/hd/c/Chu:Brian Brian Chu], [[Daylen Yang]], [https://dblp.org/pers/hd/t/Tadinada:Ravi Ravi Tadinada] ('''2017'''). ''Visualizing Residual Networks''. [https://arxiv.org/abs/1701.02362 arXiv:1701.02362]
* [[Muthuraman Chidambaram]], [[Yanjun Qi]] ('''2017'''). ''Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently''. [https://arxiv.org/abs/1702.06762v1 arXiv:1702.06762v1] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=63252 Using GAN to play chess] by Evgeniy Zheltonozhskiy, [[CCC]], February 23, 2017</ref>
* [[Matej Moravčík]], [[Martin Schmid]], [[Neil Burch]], [[Viliam Lisý]], [[Dustin Morrill]], [[Nolan Bard]], [[Trevor Davis]], [[Kevin Waugh]], [[Michael Johanson]], [[Michael Bowling]] ('''2017'''). ''[http://science.sciencemag.org/content/356/6337/508 DeepStack: Expert-level artificial intelligence in heads-up no-limit poker]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 356, No. 6337
