SOTAVerified

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 151–175 of 177 papers

TitleStatusHype
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation—0
Integrating Prior Knowledge in Post-hoc Explanations—0
Interpretability and Explainability: A Machine Learning Zoo Mini-tour—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
Mining Action Rules for Defect Reduction Planning—0
Motif-guided Time Series Counterfactual Explanations—0
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations—0
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis—0
On the Relationship Between Counterfactual Explainer and Recommender—0
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud—0
Private Counterfactual Retrieval—0
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies—0
Ranking Counterfactual Explanations—0
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Robust Stochastic Graph Generator for Counterfactual Explanations—0
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
Semi-supervised counterfactual explanations—0
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation—0
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
Towards Non-Adversarial Algorithmic Recourse—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
Model-Agnostic Explanations using Minimal Forcing Subsets—0
Verified Training for Counterfactual Explanation Robustness under Data Shift—0
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