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Summary by Joseph Paul Cohen 3 years ago
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Summary by David Stutz 4 months ago
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1 Comments
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Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra and George Tucker and Jan Chorowski and Łukasz Kaiser and Geoffrey Hinton
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.NE, cs.LG

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Summary by David Stutz 5 months ago
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Summary by Qure.ai 2 years ago
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Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan and Luke Vilnis and Quoc V. Le and Ilya Sutskever and Lukasz Kaiser and Karol Kurach and James Martens
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 4 months ago
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On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov and Chiheb Trabelsi and Samuel Kadoury and Chris Pal
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.NE

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Summary by Joseph Paul Cohen 2 years ago
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio and Tristan Deleu and Nasim Rahaman and Rosemary Ke and Sébastien Lachapelle and Olexa Bilaniuk and Anirudh Goyal and Christopher Pal
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 6 months ago
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser and Ioannis Antonoglou and Thomas Hubert and Karen Simonyan and Laurent Sifre and Simon Schmitt and Arthur Guez and Edward Lockhart and Demis Hassabis and Thore Graepel and Timothy Lillicrap and David Silver
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 1 week ago
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Summary by nandini 2 years ago
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Summary by David Stutz 9 months ago
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