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Nal Kalchbrenner
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I have been interested in the notion of "how one learns" since my early studies. Throughout the years I have looked at this problem from a multitude of perspectives, including the philosophical, cognitive, logico-mathematical, computational and statistical ones. Eventually I matured to the concept of a distributed representation as the then most powerful representation for knowledge and learning. Nowadays the world's most advanced learning systems rely on distributed learning.
Papers25 papers
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Sønderby Casper Kaae, Espeholt Lasse, Heek Jonathan, Dehghani Mostafa, Oliver Avital,Salimans Tim, Agrawal Shreya, Hickey Jason,Kalchbrenner Nal
NIPS 2020, (2020)
Ashish Vaswani,Samy Bengio,Eugene Brevdo,François Chollet, Aidan N. Gomez,Stephan Gouws, Llion Jones,Lukasz Kaiser,Nal Kalchbrenner, Niki Parmar, Ryan Sepassi,Noam Shazeer
conference of the association for machine translation in the americas, (2018)
Aäron van den Oord, Yazhe Li, Igor Babuschkin,Karen Simonyan,Oriol Vinyals,Koray Kavukcuoglu, George van den Driessche,Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe
international conference on machine learning, (2018)
Nal Kalchbrenner,Erich Elsen,Karen Simonyan, Seb Noury, Norman Casagrande,Edward Lockhart, Florian Stimberg,Aäron van den Oord,Sander Dieleman,Koray Kavukcuoglu
ICML, (2018): 2410-2419
ICML, (2017)
Scott E. Reed,Aäron van den Oord,Nal Kalchbrenner, Sergio Gomez Colmenarejo,Ziyu Wang, Dan Belov,Nando de Freitas
ICML, (2017): 2912-2921
David Silver,Aja Huang,Chris J Maddison,Arthur Guez,Laurent Sifre, George van den Driessche, Julian Schrittwieser,Ioannis Antonoglou, Veda Panneershelvam,Marc Lanctot,Sander Dieleman, Dominik Grewe
Nature, no. 7587 (2016): 484-489
SSW, (2016)
international conference on learning representations, (2016)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 4797-4805
arXiv: Computation and Language, (2016)
NIPS, pp.4790-4798, (2016)
meeting of the association for computational linguistics, (2014)
Cited by2184Bibtex
ACL, (2014): 655-665
ACL, (2014): 212-217
EMNLP, pp.1700-1709, (2013)
empirical methods in natural language processing, (2013)
Cited by857Bibtex
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