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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 141–150 of 177 papers

TitleStatusHype
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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