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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 51–100 of 177 papers

TitleStatusHype
Supervised Feature Compression based on Counterfactual AnalysisCode0
Counterfactual Explanations for Models of CodeCode0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation BaselinesCode0
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU PatientsCode0
Generating collective counterfactual explanations in score-based classification via mathematical optimizationCode0
Generating Likely Counterfactuals Using Sum-Product NetworksCode0
Generating Survival Interpretable Trajectories and DataCode0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
Graph Style Transfer for Counterfactual ExplainabilityCode0
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy DistillationCode0
Counterfactual Explanation Algorithms for Behavioral and Textual DataCode0
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target PredictionCode0
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content CounterfactuallyCode0
Calculating and Visualizing Counterfactual Feature Importance ValuesCode0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksCode0
CARE: Coherent Actionable Recourse based on Sound Counterfactual ExplanationsCode0
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image GenerationCode0
Introducing User Feedback-based Counterfactual Explanations (UFCE)Code0
Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual ExplanationCode0
MCCE: Monte Carlo sampling of realistic counterfactual explanationsCode0
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular DataCode0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Causal Explanation of Convolutional Neural NetworksCode0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
PermuteAttack: Counterfactual Explanation of Machine Learning Credit ScorecardsCode0
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual ExplanationsCode0
Causality-based Counterfactual Explanation for Classification ModelsCode0
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing FlowsCode0
Choose your Data Wisely: A Framework for Semantic CounterfactualsCode0
An exact counterfactual-example-based approach to tree-ensemble models interpretabilityCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective—0
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images—0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
A Counterfactual Explanation Framework for Retrieval Models—0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies—0
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems—0
A Mathematical Programming Approach to Optimal Classification Forests—0
Towards Understanding the Influence of Training Samples on Explanations—0
A New Class of Explanations for Classifiers with Non-Binary Features—0
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation—0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
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