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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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|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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|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 (AA)|
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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)|
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|Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning|Wonjae Kim, Yoonho Lee |?|[link](https://papers.nips.cc/paper/8835-learning-dynamics-of-attention-human-prior-for-interpretable-machine-reasoning)|ToDo (AA)|
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|Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning|Wonjae Kim, Yoonho Lee |?|[link](https://papers.nips.cc/paper/8835-learning-dynamics-of-attention-human-prior-for-interpretable-machine-reasoning)|ToDo (AA)|
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|Solving Interpretable Kernel Dimensionality Reduction|Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy|?|[link](https://papers.nips.cc/paper/9005-solving-interpretable-kernel-dimensionality-reduction)|ToDo|
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|Solving Interpretable Kernel Dimensionality Reduction|Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy|?|[link](https://papers.nips.cc/paper/9005-solving-interpretable-kernel-dimensionality-reduction)|ToDo|
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|This Looks Like That: Deep Learning for Interpretable Image Recognition|Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan K. Su|?|[link](https://papers.nips.cc/paper/9095-this-looks-like-that-deep-learning-for-interpretable-image-recognition)|ToDo (Ghost)|
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|This Looks Like That: Deep Learning for Interpretable Image Recognition|Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan K. Su|?|[link](https://papers.nips.cc/paper/9095-this-looks-like-that-deep-learning-for-interpretable-image-recognition)|ToDo (Ghost)|
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