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[Link to Vis. and Interpret. Track](https://nips.cc/Conferences/2019/Schedule?showParentSession=15517)
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| Title | Authors | Track | link | Summary |
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| -------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | ------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
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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 (AA) |
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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) | [ROAR](a-benchmark-for-interpretability-methods-in-deep-neural-networks) |
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| Fooling Neural Network Interpretations via Adversarial Model Manipulation | Juyeon Heo, Sunghwan Joo, Taesup Moon | ? | [link](https://papers.nips.cc/paper/8558-fooling-neural-network-interpretations-via-adversarial-model-manipulation) | ToDo (FK & JS) |
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| Accurate Layerwise Interpretable Competence Estimation | Vickram Rajendran, William LeVine | ? | [link](https://papers.nips.cc/paper/9548-accurate-layerwise-interpretable-competence-estimation) | `#F00`ToDo |
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| Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) | Mariya Toneva, Leila Wehbe | ? | [link](https://papers.nips.cc/paper/9633-interpreting-and-improving-natural-language-processing-in-machines-with-natural-language-processing-in-the-brain) | `#F00`ToDo |
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| Towards Automatic Concept-based Explanations | Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim | ? | [link](https://papers.nips.cc/paper/9126-towards-automatic-concept-based-explanations) | see [Concept-based Explanations](Concept-based-Explanations) |
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|Visualizing and Measuring the Geometry of BERT|Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viegas, Andy Coenen, Adam Pearce, Been Kim|?|[link](https://papers.nips.cc/paper/9065-visualizing-and-measuring-the-geometry-of-bert)|ToDo (JW)|
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| Visualizing and Measuring the Geometry of BERT | Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viegas, Andy Coenen, Adam Pearce, Been Kim | ? | [link](https://papers.nips.cc/paper/9065-visualizing-and-measuring-the-geometry-of-bert) | see [Visualizing and Measuring the Geometry of BERT](Visualizing-and-Measuring-the-Geometry-of-BERT) |
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| Deep Model Transferability from Attribution Maps | Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song | ? | [link](https://papers.nips.cc/paper/8849-deep-model-transferability-from-attribution-maps) | ToDo (JS) |
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| Robust Attribution Regularization | Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha | ? | [link](https://papers.nips.cc/paper/9577-robust-attribution-regularization) | `#F00`ToDo |
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| Demystifying Black-box Models with Symbolic Metamodels | Ahmed M. Alaa, Mihaela van der Schaar | ? | [link](https://papers.nips.cc/paper/9308-demystifying-black-box-models-with-symbolic-metamodels) | `#F00`ToDo |
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