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 1–50 of 177 papers

TitleStatusHype
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
OmniXAI: A Library for Explainable AICode2
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAICode2
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
Counterfactual Shapley Additive ExplanationsCode1
Optimal Counterfactual Explanations in Tree EnsemblesCode1
Learning Time Series Counterfactuals via Latent Space RepresentationsCode1
The Effect of Counterfactuals on Reading Chest X-raysCode1
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Fast Diffusion-Based Counterfactuals for Shortcut Removal and GenerationCode1
Global Counterfactual Explainer for Graph Neural NetworksCode1
Adversarial Counterfactual Visual ExplanationsCode1
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsCode1
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
Model-contrastive explanations through symbolic reasoningCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
OCTET: Object-aware Counterfactual ExplanationsCode1
On the Robustness of Sparse Counterfactual Explanations to Adverse PerturbationsCode1
Reinforced Path Reasoning for Counterfactual Explainable RecommendationCode1
STEEX: Steering Counterfactual Explanations with SemanticsCode1
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQACode1
Global Counterfactual Explanations: Investigations, Implementations and ImprovementsCode1
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Finding Regions of Counterfactual Explanations via Robust OptimizationCode1
Explainable Data-Driven Optimization: From Context to Decision and Back AgainCode1
Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsCode1
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
Distributional Counterfactual Explanations With Optimal TransportCode1
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation AlgorithmsCode1
Instance-based Counterfactual Explanations for Time Series ClassificationCode1
Counterfactual Explainable RecommendationCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
GRETEL: A unified framework for Graph Counterfactual Explanation EvaluationCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management ZonesCode0
Conceptual Edits as Counterfactual ExplanationsCode0
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Generating Survival Interpretable Trajectories and DataCode0
Generating collective counterfactual explanations in score-based classification via mathematical optimizationCode0
Counterfactual Explanations for Graph Classification Through the Lenses of DensityCode0
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation BaselinesCode0
Generating Likely Counterfactuals Using Sum-Product NetworksCode0
Graph Style Transfer for Counterfactual ExplainabilityCode0
Choose your Data Wisely: A Framework for Semantic CounterfactualsCode0
Explaining Groups of Points in Low-Dimensional RepresentationsCode0
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing FlowsCode0
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.