SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 177 papers

TitleStatusHype
Mining Action Rules for Defect Reduction Planning—0
Motif-guided Time Series Counterfactual Explanations—0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis—0
On the Relationship Between Counterfactual Explainer and Recommender—0
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud—0
Private Counterfactual Retrieval—0
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies—0
Ranking Counterfactual Explanations—0
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Robust Stochastic Graph Generator for Counterfactual Explanations—0
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
Semi-supervised counterfactual explanations—0
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation—0
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
Towards Non-Adversarial Algorithmic Recourse—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
Model-Agnostic Explanations using Minimal Forcing Subsets—0
Verified Training for Counterfactual Explanation Robustness under Data Shift—0
Very fast, approximate counterfactual explanations for decision forests—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
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
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patientsCode0
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular DataCode0
Counterfactual Explanation Algorithms for Behavioral and Textual DataCode0
An exact counterfactual-example-based approach to tree-ensemble models interpretabilityCode0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy DistillationCode0
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management ZonesCode0
Text Counterfactuals via Latent Optimization and Shapley-Guided SearchCode0
Text-to-Image Models for Counterfactual Explanations: a Black-Box ApproachCode0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
Conceptual Edits as Counterfactual ExplanationsCode0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
Fast Inference of Removal-Based Node InfluenceCode0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
Supervised Feature Compression based on Counterfactual AnalysisCode0
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
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.