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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro and Sameer Singh and Carlos Guestrin
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Martin Thoma 2 years ago
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Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha and Hongseok Namkoong and John Duchi
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 1 year ago
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Summary by CodyWild 5 days ago
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Summary by Qure.ai 2 years ago
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Summary by nandinics 2 years ago
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Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lecuyer and Vaggelis Atlidakis and Roxana Geambasu and Daniel Hsu and Suman Jana
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.CR, cs.LG

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Summary by David Stutz 3 months ago
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Meta-Learning with Implicit Gradients
Aravind Rajeswaran and Chelsea Finn and Sham Kakade and Sergey Levine
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, math.OC, stat.ML

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Summary by Prateek Gupta 1 month ago
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Summary by David Stutz 3 months ago
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Summary by Martin Thoma 3 years ago
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Summary by Qure.ai 2 years ago
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