NIPS is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers.

Learning to Compose Domain-Specific Transformations for Data Augmentation.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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The Reversible Residual Network: Backpropagation Without Storing Activations.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

Keywords:

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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Prototypical Networks for Few-shot Learning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

Learned in Translation: Contextualized Word Vectors

arXiv e-Print archive - 2017 via Local arXiv

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

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arXiv e-Print archive - 2017 via Local arXiv

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

Neural Discrete Representation Learning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG

Deep Reinforcement Learning from Human Preferences.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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Dynamic Routing Between Capsules.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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Self-Normalizing Neural Networks

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

A Regularized Framework for Sparse and Structured Neural Attention.

Neural Information Processing Systems Conference - 2017 via Local dblp

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Neural Information Processing Systems Conference - 2017 via Local dblp

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Triangle Generative Adversarial Networks

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

Fader Networks: Manipulating Images by Sliding Attributes

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

Bayesian Compression for Deep Learning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

A simple neural network module for relational reasoning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CL, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.CL, cs.LG

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