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TitleStatusHype
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep CounterfactualsCode0
Tractable Bounding of Counterfactual Queries by Knowledge CompilationCode1
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth BenchmarkingCode1
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG MethodCode0
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations—0
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation—0
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals—0
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data—0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning SystemsCode0
Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve—0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
Robust Stance Detection: Understanding Public Perceptions in Social Media—0
Leveraging Uncertainties to Infer Preferences: Robust Analysis of School Choice—0
Recursive Counterfactual Deconfounding for Object Recognition—0
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Searching for Smurfs: Testing if Money Launderers Know Alert ThresholdsCode0
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust OptimisationCode0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments—0
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