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(sciscore: 3.133)




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The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi and Marcus Frean and Lennox Leary and JP Lewis and Kurt Wan-Duo Ma and Brian McWilliams
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.NE, cs.LG, stat.ML

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Bayesian Compression for Deep Learning
Christos Louizos and Karen Ullrich and Max Welling
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov and Arsenii Ashukha and Dmitry Vetrov
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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A Probabilistic Framework for Deep Learning
Ankit B. Patel and Tan Nguyen and Richard G. Baraniuk
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison and Andriy Mnih and Yee Whye Teh
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, stat.ML

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Disentangling factors of variation in deep representations using adversarial training
Michael Mathieu and Junbo Zhao and Pablo Sprechmann and Aditya Ramesh and Yann LeCun
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, stat.ML

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