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Summary by unmesh 4 years ago
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG

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Summary by Alexander Jung 2 years ago
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Sequential Neural Models with Stochastic Layers
Marco Fraccaro and Søren Kaae Sønderby and Ulrich Paquet and Ole Winther
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Deniz Akyildiz 3 years ago
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Summary by CodyWild 2 weeks ago
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Summary by Adamo 2 months ago
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Learning with a Strong Adversary
Ruitong Huang and Bing Xu and Dale Schuurmans and Csaba Szepesvari
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG

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Summary by David Stutz 1 year ago
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Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman and Alexander M. Rush
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CL, cs.LG, cs.NE, stat.ML

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Summary by Sarath Chandar 3 years ago
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Adversarial examples in the physical world
Alexey Kurakin and Ian Goodfellow and Samy Bengio
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV, cs.CR, cs.LG, stat.ML

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Summary by Marek Rei 2 years ago
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Visualizing the Loss Landscape of Neural Nets
Hao Li and Zheng Xu and Gavin Taylor and Christoph Studer and Tom Goldstein
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by daisukelab 1 year ago
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Summary by Qure.ai 3 years ago
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