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Summary by David Stutz 6 months ago
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Summary by David Stutz 6 months 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 6 months ago
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A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang and Ji Gao and Yanjun Qi
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 6 months ago
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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 6 months ago
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang and Yixuan Li and R. Srikant
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 6 months ago
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AI Safety Gridworlds
Jan Leike and Miljan Martic and Victoria Krakovna and Pedro A. Ortega and Tom Everitt and Andrew Lefrancq and Laurent Orseau and Shane Legg
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by dniku 6 months ago
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On the importance of single directions for generalization
Ari S. Morcos and David G. T. Barrett and Neil C. Rabinowitz and Matthew Botvinick
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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Summary by David Stutz 6 months ago
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Summary by David Stutz 6 months ago
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Summary by David Stutz 6 months ago
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