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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 1–50 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
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
A Counterfactual Explanation Framework for Retrieval Models—0
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images—0
Generally-Occurring Model Change for Robust Counterfactual Explanations—0
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk—0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
Towards Understanding the Influence of Training Samples on Explanations—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
Counterfactual Metarules for Local and Global Recourse—0
Mining Action Rules for Defect Reduction Planning—0
Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors—0
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular DataCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence—0
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs—0
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management ZonesCode0
Towards Non-Adversarial Algorithmic Recourse—0
Fast Inference of Removal-Based Node InfluenceCode0
Verified Training for Counterfactual Explanation Robustness under Data Shift—0
Introducing User Feedback-based Counterfactual Explanations (UFCE)Code0
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