post-hoc explanation

Semi-factual Explanations in AI AAAI 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement COLING 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Advancing Post-Hoc Case-Based Explanation with Feature Highlighting IJCAI 2023 AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL 2023 Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability NeurIPS 2023 Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat ICML 2023 Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations AAAI 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NeurIPS 2023 Post Hoc Explanations of Language Models Can Improve Language Models NeurIPS 2023 When are post-hoc conceptual explanations identifiable? UAI 2023 An Empirical Study on Explanations in Out-of-Domain Settings ACL 2022 Constraint-Driven Explanations for Black-Box ML Models AAAI 2022 Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions NeurIPS 2022 Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF NeurIPS 2022 OpenXAI: Towards a Transparent Evaluation of Model Explanations NeurIPS 2022 Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation ICLR 2022 Towards Better Understanding Attribution Methods CVPR 2022 Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NeurIPS 2022 Argumentative XAI: A Survey IJCAI 2021 Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021 Characterizing the risk of fairwashing NeurIPS 2021