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

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Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin and Victor Lempitsky
arXiv e-Print archive - 2014 via arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Self-Normalizing Neural Networks
Günter Klambauer and Thomas Unterthiner and Andreas Mayr and Sepp Hochreiter
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.LG, stat.ML

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A simple neural network module for relational reasoning
Adam Santoro and David Raposo and David G. T. Barrett and Mateusz Malinowski and Razvan Pascanu and Peter Battaglia and Timothy Lillicrap
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CL, cs.LG

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Working hard to know your neighbor's margins:Local descriptor learning loss
Anastasiya Mishchuk and Dmytro Mishkin and Filip Radenovic and Jiri Matas
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CV

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A Deep Reinforced Model for Abstractive Summarization
Romain Paulus and Caiming Xiong and Richard Socher
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CL

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

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Network In Network
Min Lin and Qiang Chen and Shuicheng Yan
arXiv e-Print archive - 2013 via arXiv
Keywords: cs.NE, cs.CV, cs.LG

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