arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics.

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

arXiv e-Print archive - 2017 via Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Bibsonomy

Keywords: dblp

Variational Dropout Sparsifies Deep Neural Networks

arXiv e-Print archive - 2017 via arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2017 via arXiv

Keywords: stat.ML, cs.LG

Generative Temporal Models with Memory

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.NE

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.NE

Batch Renormalization: Towards Reducing Minibatch Dependence in
Batch-Normalized Models

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG

Early Stopping without a Validation Set

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, stat.ML

Universal representations:The missing link between faces, text,
planktons, and cat breeds

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CV, stat.ML

more

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CV, stat.ML

Transferring Face Verification Nets To Pain and Expression Regression

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CV, cs.AI, cs.LG, cs.MM

more

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CV, cs.AI, cs.LG, cs.MM

Outrageously Large Neural Networks: The Sparsely-Gated
Mixture-of-Experts Layer

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.CL, cs.NE, stat.ML

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.CL, cs.NE, stat.ML

On orthogonality and learning recurrent networks with long term
dependencies

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.NE

more

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.LG, cs.NE

Java Code Analysis and Transformation into AWS Lambda Functions

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.DC, cs.SE, D.2.1; I.2.2; C.2.4

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.DC, cs.SE, D.2.1; I.2.2; C.2.4

A Deep Reinforced Model for Abstractive Summarization

arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CL

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arXiv e-Print archive - 2017 via arXiv

Keywords: cs.CL

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