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counterfactual

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TitleStatusHype
Evidence from counterfactual tasks supports emergent analogical reasoning in large language modelsCode0
Causal Machine Learning for Cost-Effective Allocation of Development AidCode0
Causally Steered Diffusion for Automated Video Counterfactual GenerationCode0
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual ThinkingCode0
Exogenous Isomorphism for Counterfactual IdentifiabilityCode0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
Estimating heterogeneous survival treatment effect in observational data using machine learningCode0
Errudite: Scalable, Reproducible, and Testable Error AnalysisCode0
ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate EstimationCode0
Argumentative Ensembling for Robust Recourse under Model MultiplicityCode0
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized RecommendationCode0
Learning Models for Actionable RecourseCode0
Optimal and efficient text counterfactuals using Graph Neural NetworksCode0
Are Large Language Models Good at Utility Judgments?Code0
Ensemble of Counterfactual ExplainersCode0
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual EstimationCode0
Explaining Deep Learning Models with Constrained Adversarial ExamplesCode0
Fast Inference of Removal-Based Node InfluenceCode0
Causal integration of chemical structures improves representations of microscopy images for morphological profilingCode0
Endogenous Macrodynamics in Algorithmic RecourseCode0
Causal Expectation-MaximisationCode0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: CorrectionsCode0
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionCode0
Efficient Search for Diverse Coherent ExplanationsCode0
Causal Inference with CocyclesCode0
Efficient computation of counterfactual explanations of LVQ modelsCode0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form GamesCode0
Enhancing Counterfactual Classification via Self-TrainingCode0
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep CounterfactualsCode0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival dataCode0
Causal Inference in Possibly Nonlinear Factor ModelsCode0
Neural Replicator DynamicsCode0
Effective Explanations for Entity Resolution ModelsCode0
Efficient Classification with Counterfactual Reasoning and Active LearningCode0
Dynamic Causal Collaborative FilteringCode0
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects EstimationCode0
Causal Inference for Knowledge Graph based RecommendationCode0
Causal Inference for Human-Language Model CollaborationCode0
GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional ConnectivityCode0
ECINN: Efficient Counterfactuals from Invertible Neural NetworksCode0
Efficient computation of contrastive explanationsCode0
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and CounterfactualsCode0
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetCode0
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to RankCode0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World DataCode0
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias EvaluationCode0
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