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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 1–25 of 177 papers

TitleStatusHype
Graph Style Transfer for Counterfactual ExplainabilityCode0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
Ranking Counterfactual Explanations—0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies—0
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Faithful Counterfactual Visual Explanations (FCVE)—0
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAICode2
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
Counterfactual Explanations via Riemannian Latent Space Traversal—0
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric AssessmentsCode0
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation—0
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach—0
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property PredictionCode0
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks—0
Private Counterfactual Retrieval—0
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