counterfactual explanation

Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021 Counterfactual Explanations Can Be Manipulated NeurIPS 2021 Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021 Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty NeurIPS 2021 Designing Counterfactual Generators using Deep Model Inversion NeurIPS 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021 FIMAP: Feature Importance by Minimal Adversarial Perturbation AAAI 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021 Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates ICLR 2021 Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021 If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques IJCAI 2021 Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021 Learning Models for Actionable Recourse NeurIPS 2021 On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning AAAI 2021 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021 Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization AAAI 2021 Robust Counterfactual Explanations on Graph Neural Networks NeurIPS 2021 The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations NeurIPS 2021 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020 DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020