counterfactual explanation

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually AAAI 2024 Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024 Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NeurIPS 2024 Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024 Optimal and efficient text counterfactuals using Graph Neural Networks EMNLP 2024 Promoting Counterfactual Robustness through Diversity AAAI 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024 Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers IJCAI 2024 Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024 Robust Stochastic Graph Generator for Counterfactual Explanations AAAI 2024 Semi-factual Explanations in AI AAAI 2024 Structure Your Data: Towards Semantic Graph Counterfactuals ICML 2024 Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach WACV 2024 UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models ICLR 2024 Adversarial Counterfactual Visual Explanations CVPR 2023 Attribution-based Explanations that Provide Recourse Cannot be Robust JMLR 2023 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Bayesian Hierarchical Models for Counterfactual Estimation AISTATS 2023 Choose your Data Wisely: A Framework for Semantic Counterfactuals IJCAI 2023 Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023 Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors ACL 2023 D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NeurIPS 2023 DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations WACV 2023 Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations AAAI 2023