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Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan and Luke Vilnis and Quoc V. Le and Ilya Sutskever and Lukasz Kaiser and Karol Kurach and James Martens
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 5 years ago
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Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross and Finale Doshi-Velez
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 6 years ago
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FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff and Dmitry Kalenichenko and James Philbin
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.CV

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Summary by Martin Thoma 8 years ago
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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 Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Léo Paillier 6 years ago
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Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz and Jelena Luketina and Wojciech M. Czarnecki and Agnieszka Grabska-Barwinska and Yee Whye Teh and Razvan Pascanu and Raia Hadsell
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by devin132 4 years ago
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