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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 126–150 of 177 papers

TitleStatusHype
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patientsCode0
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular DataCode0
Counterfactual Explanation Algorithms for Behavioral and Textual DataCode0
An exact counterfactual-example-based approach to tree-ensemble models interpretabilityCode0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy DistillationCode0
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management ZonesCode0
Text Counterfactuals via Latent Optimization and Shapley-Guided SearchCode0
Text-to-Image Models for Counterfactual Explanations: a Black-Box ApproachCode0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
Conceptual Edits as Counterfactual ExplanationsCode0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
Fast Inference of Removal-Based Node InfluenceCode0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
Supervised Feature Compression based on Counterfactual AnalysisCode0
Causal Explanation of Convolutional Neural NetworksCode0
Explaining Groups of Points in Low-Dimensional RepresentationsCode0
PermuteAttack: Counterfactual Explanation of Machine Learning Credit ScorecardsCode0
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation BaselinesCode0
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property PredictionCode0
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
Generating collective counterfactual explanations in score-based classification via mathematical optimizationCode0
Generating Likely Counterfactuals Using Sum-Product NetworksCode0
Generating Survival Interpretable Trajectories and DataCode0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
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