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Feature Attributions and Counterfactual Explanations Can Be Manipulated
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Feature Attributions and Counterfactual Explanations Can Be Manipulated
NeurIPS 2021: Counterfactual Explanations Can Be Manipulated
Counterfactual Shapley Additive Explanations
SCOUT: Self-Aware Discriminant Counterfactual Explanations
CP2021 (Trailer) "Counterfactual Explanations via Inverse Constraint Programming"
Multilayer Counterfactual Explanations for Machine Learning Classifiers - MSc student project
A Symbolic Approach for Counterfactual Explanations
Counterfactual Explanations: The Future of Explainable AI | Aviv Ben Arie
AIME - Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients
On the Computation of Necessary and Sufficient Explanations | AAAI-2022
Beyond machine learning model- Counterfactual model explanation - What can be done to minimize churn
XAI open software project - Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer
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AAAI 2021 Tutorial on Explaining Machine Learning Predictions
XAI open software project - Interpretation of Lesional Detection via Counterfactual Generation
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SICSA XAI Workshop 2021 Session 2 - Roles within an XAI System and Accountability
The Utility of XAI in Improving Human-Decision Making | Human-Centred AI
MedAI Session 5: Gifsplanation via Latent Shift | Joseph Cohen
Semi-supervised learning from demonstration through program synthesis An inspection robot case study
