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This is a list of papers relating to interpretability of learning systems accepted in Neurips 2019.
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This is a list of papers relating to interpretability of learning systems accepted in Neurips 2019. https://papers.nips.cc/book/advances-in-neural-information-processing-systems-32-2019
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## Viusalization and Interpretability Track: https://nips.cc/Conferences/2019/Schedule?showParentSession=15517
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## Viusalization and Interpretability Track:
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* A Benchmark for Interpretability Methods in Deep Neural Networks
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Sara Hooker · Dumitru Erhan · Pieter-Jan Kindermans · Been Kim
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https://nips.cc/Conferences/2019/Schedule?showParentSession=15517
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- GNNExplainer: Generating Explanations for Graph Neural Networks](https://papers.nips.cc/paper/9123-gnnexplainer-generating-explanations-for-graph-neural-networks) [Zhitao Ying](https://papers.nips.cc/author/zhitao-ying-9531), [Dylan Bourgeois](https://papers.nips.cc/author/dylan-bourgeois-14057), [Jiaxuan You](https://papers.nips.cc/author/jiaxuan-you-11387), [Marinka Zitnik](https://papers.nips.cc/author/marinka-zitnik-10897), [Jure Leskovec](https://papers.nips.cc/author/jure-leskovec-4767)
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* Solving Interpretable Kernel Dimensionality Reduction
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Chieh Wu · Jared Miller · Yale Chang · Mario Sznaier · Jennifer Dy
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