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Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values.

, , , and . ICLR (Workshop), OpenReview.net, (2018)

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DISSECT: Disentangled Simultaneous Explanations via Concept Traversals., , , , , and . CoRR, (2021)Model evaluation for extreme risks., , , , , , , , , and 11 other author(s). CoRR, (2023)Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero., , , , , and . CoRR, (2023)Machine Learning Techniques for Accountability., and . AI Mag., 42 (1): 47-52 (2021)Scalable and Interpretable Data Representation for High-Dimensional, Complex Data., , , and . AAAI, page 1763-1769. AAAI Press, (2015)Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation., , , and . ICLR, OpenReview.net, (2022)On the Relationship Between Explanation and Prediction: A Causal View., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15861-15883. PMLR, (2023)Human-Centered Concept Explanations for Neural Networks., , and . Neuro-Symbolic Artificial Intelligence, volume 342 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2021)Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems., , and . IUI, page 240-250. ACM, (2023)Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior., , and . J. Artif. Intell. Res., (2015)