counterfactual explanation

Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance ACL 2023 Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI IJCAI 2023 Explainable Data-Driven Optimization: From Context to Decision and Back Again ICML 2023 Explaining Model Confidence Using Counterfactuals AAAI 2023 Fairness Aware Counterfactuals for Subgroups NeurIPS 2023 Formalising the Robustness of Counterfactual Explanations for Neural Networks AAAI 2023 GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations ICML 2023 Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space CVPR 2023 Improvement-Focused Causal Recourse (ICR) AAAI 2023 Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023 Interpretable Neural-Symbolic Concept Reasoning ICML 2023 Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term EMNLP 2023 Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI AAAI 2023 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 On Data Manifolds Entailed by Structural Causal Models ICML 2023 On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NeurIPS 2023 On the Privacy Risks of Algorithmic Recourse AISTATS 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023 Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 Unsupervised argument reframing with a counterfactual-based approach EMNLP 2023 Very Fast, Approximate Counterfactual Explanations for Decision Forests AAAI 2023 Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models NeurIPS 2023