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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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|Title|Authors|Track|link|Summary|
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|GNNExplainer: Generating Explanations for Graph Neural Networks|Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec|?|[link](https://papers.nips.cc/paper/9123-gnnexplainer-generating-explanations-for-graph-neural-networks)|ToDo|
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|A Benchmark for Interpretability Methods in Deep Neural Networks|Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim|?|[link](https://papers.nips.cc/paper/9167-a-benchmark-for-interpretability-methods-in-deep-neural-networks)|ToDo|
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## Visualization and Interpretability Track:
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https://nips.cc/Conferences/2019/Schedule?showParentSession=15517
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