Understanding the difficulty of training deep feedforward neural networks

Journal of Machine Learning Research - 2010 via Local Bibsonomy

Keywords: dblp

Journal of Machine Learning Research - 2010 via Local Bibsonomy

Keywords: dblp

Explaining and Harnessing Adversarial Examples

arXiv e-Print archive - 2014 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2014 via Local arXiv

Keywords: stat.ML, cs.LG

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.CL, cs.AI, cs.LG, cs.NE

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.CL, cs.AI, cs.LG, cs.NE

WAIC, but Why? Generative Ensembles for Robust Anomaly Detection

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.LG

Regularizing Trajectory Optimization with Denoising Autoencoders

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

Automatic chemical design using a data-driven continuous representation of molecules

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

Conference and Computer Vision and Pattern Recognition - 2016 via Local Bibsonomy

Keywords: dblp

Conference and Computer Vision and Pattern Recognition - 2016 via Local Bibsonomy

Keywords: dblp

Intriguing properties of neural networks

arXiv e-Print archive - 2013 via Local arXiv

Keywords: cs.CV, cs.LG, cs.NE

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arXiv e-Print archive - 2013 via Local arXiv

Keywords: cs.CV, cs.LG, cs.NE

Simple Black-Box Adversarial Perturbations for Deep Networks

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

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