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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

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Showing 76–100 of 177 papers

TitleStatusHype
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Causal Explanation of Convolutional Neural NetworksCode0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
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
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
A Counterfactual Explanation Framework for Retrieval Models—0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies—0
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems—0
A Mathematical Programming Approach to Optimal Classification Forests—0
Towards Understanding the Influence of Training Samples on Explanations—0
A New Class of Explanations for Classifiers with Non-Binary Features—0
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation—0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
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