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

Generalizing Tree Probability Estimation via Bayesian Networks

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Sanity Checks for Saliency Maps

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Efficient Neural Network Robustness Certification with General Activation Functions

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Towards Robust Interpretability with Self-Explaining Neural Networks

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Constructing Unrestricted Adversarial Examples with Generative Models

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Adversarially Robust Generalization Requires More Data

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

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