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Counterfactual Reasoning

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Showing 101–125 of 219 papers

TitleStatusHype
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep CounterfactualsCode0
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers—0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming—0
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based PlanningCode0
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge TracingCode1
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
User-Controllable Recommendation via Counterfactual Retrospective and Prospective ExplanationsCode0
Leveraging Contextual Counterfactuals Toward Belief Calibration—0
Budgeting Counterfactual for Offline RL—0
Counterfactual Explanation for Fairness in Recommendation—0
Analyzing Intentional Behavior in Autonomous Agents under UncertaintyCode0
Counterfactual Collaborative Reasoning—0
From Database Repairs to Causality in Databases and Beyond—0
Counterfactuals Modulo Temporal Logics—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of CodeCode1
Counterfactual reasoning: Testing language models' understanding of hypothetical scenariosCode1
"What if?" in Probabilistic Logic ProgrammingCode0
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions—0
SCOTT: Self-Consistent Chain-of-Thought DistillationCode1
Causal Reasoning and Large Language Models: Opening a New Frontier for CausalityCode2
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control—0
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
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