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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
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAICode2
OmniXAI: A Library for Explainable AICode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
Distributional Counterfactual Explanations With Optimal TransportCode1
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQACode1
Fast Diffusion-Based Counterfactuals for Shortcut Removal and GenerationCode1
Model-contrastive explanations through symbolic reasoningCode1
The Effect of Counterfactuals on Reading Chest X-raysCode1
Adversarial Counterfactual Visual ExplanationsCode1
Finding Regions of Counterfactual Explanations via Robust OptimizationCode1
Explainable Data-Driven Optimization: From Context to Decision and Back AgainCode1
OCTET: Object-aware Counterfactual ExplanationsCode1
Global Counterfactual Explainer for Graph Neural NetworksCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Reinforced Path Reasoning for Counterfactual Explainable RecommendationCode1
Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsCode1
GRETEL: A unified framework for Graph Counterfactual Explanation EvaluationCode1
Global Counterfactual Explanations: Investigations, Implementations and ImprovementsCode1
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsCode1
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
On the Robustness of Sparse Counterfactual Explanations to Adverse PerturbationsCode1
STEEX: Steering Counterfactual Explanations with SemanticsCode1
Counterfactual Shapley Additive ExplanationsCode1
Learning Time Series Counterfactuals via Latent Space RepresentationsCode1
Counterfactual Explainable RecommendationCode1
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation AlgorithmsCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
Optimal Counterfactual Explanations in Tree EnsemblesCode1
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Instance-based Counterfactual Explanations for Time Series ClassificationCode1
Graph Style Transfer for Counterfactual ExplainabilityCode0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
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
Counterfactual Explanations via Riemannian Latent Space Traversal—0
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
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