counterfactual explanation

A query-optimal algorithm for finding counterfactuals ICML 2022 Attribution of predictive uncertainties in classification models UAI 2022 BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022 Causal Explanations and XAI CLeaR 2022 CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks AISTATS 2022 CLEAR: Generative Counterfactual Explanations on Graphs NeurIPS 2022 Consistent Counterfactuals for Deep Models ICLR 2022 Counterfactual Explanations for Natural Language Interfaces ACL 2022 Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees AISTATS 2022 Counterfactual Plans under Distributional Ambiguity ICLR 2022 CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022 Cycle-Consistent Counterfactuals by Latent Transformations CVPR 2022 Diffusion Visual Counterfactual Explanations NeurIPS 2022 DISSECT: Disentangled Simultaneous Explanations via Concept Traversals ICLR 2022 Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022 Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? AACL 2022 Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset ICLR 2022 Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022 ExSum: From Local Explanations to Model Understanding NAACL 2022 FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles AAAI 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 Machine Reading, Fast and Slow: When Do Models “Understand” Language? COLING 2022 Meaningfully debugging model mistakes using conceptual counterfactual explanations ICML 2022 Robust Counterfactual Explanations for Tree-Based Ensembles ICML 2022 A Machine Teaching Framework for Scalable Recognition ICCV 2021