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Counterfactual Explanation

Returns a contrastive argument that permits to achieve the desired class, e.g., “to obtain this loan, you need XXX of annual revenue instead of the current YYY”

Papers

Showing 81–90 of 177 papers

TitleStatusHype
PermuteAttack: Counterfactual Explanation of Machine Learning Credit ScorecardsCode0
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual ExplanationsCode0
Causality-based Counterfactual Explanation for Classification ModelsCode0
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing FlowsCode0
Choose your Data Wisely: A Framework for Semantic CounterfactualsCode0
An exact counterfactual-example-based approach to tree-ensemble models interpretabilityCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective—0
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images—0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
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