conftrace_

counterfactual explanation

139 papers

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Also known as

CE

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explainable ai (480) model interpretability (519) algorithmic recourse (22) graph neural network (3962) generative model (2892) large language model (13587) text classification (6793) image classification (1944) causal inference (1630) explainable artificial intelligence (130)

Papers

Counterfactual Explanations for Natural Language Interfaces ACL 2022
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations NIPS 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques IJCAI 2021
A Machine Teaching Framework for Scalable Recognition ICCV 2021
Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning AAAI 2021
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021
Optimal Counterfactual Explanations in Tree Ensembles ICML 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
Robust Counterfactual Explanations on Graph Neural Networks NIPS 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty NIPS 2021
Designing Counterfactual Generators using Deep Model Inversion NIPS 2021
Learning Models for Actionable Recourse NIPS 2021
Counterfactual Explanations Can Be Manipulated NIPS 2021
FIMAP: Feature Importance by Minimal Adversarial Perturbation AAAI 2021
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NIPS 2021
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization AAAI 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NIPS 2020
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020
Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020
Decisions, Counterfactual Explanations and Strategic Behavior NIPS 2020