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Showing 601–650 of 2765 papers

TitleStatusHype
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?Code0
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual ThinkingCode0
Evaluating the Reliability of Self-Explanations in Large Language ModelsCode0
Evidence from counterfactual tasks supports emergent analogical reasoning in large language modelsCode0
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New PerspectiveCode0
Causal Explanation of Convolutional Neural NetworksCode0
Estimating heterogeneous survival treatment effect in observational data using machine learningCode0
Causal Effect Estimation using Variational Information BottleneckCode0
ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate EstimationCode0
Explaining Text Classifiers with Counterfactual RepresentationsCode0
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering PerspectiveCode0
Ensemble of Counterfactual ExplainersCode0
Enhancing Model Robustness and Fairness with Causality: A Regularization ApproachCode0
Learning Models for Actionable RecourseCode0
Endogenous Macrodynamics in Algorithmic RecourseCode0
Enhancing Counterfactual Classification via Self-TrainingCode0
Empowering Counterfactual Reasoning over Graph Neural Networks through InductivityCode0
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and CounterfactualsCode0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
Adversarially Balanced Representation for Continuous Treatment Effect EstimationCode0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
Efficient Search for Diverse Coherent ExplanationsCode0
Causal Expectation-MaximisationCode0
Causal Collaborative FilteringCode0
2D-Shapley: A Framework for Fragmented Data ValuationCode0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form GamesCode0
Causal Cartographer: From Mapping to Reasoning Over Counterfactual WorldsCode0
Adversarial Learning for Counterfactual FairnessCode0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: CorrectionsCode0
Errudite: Scalable, Reproducible, and Testable Error AnalysisCode0
Effective Explanations for Entity Resolution ModelsCode0
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival dataCode0
Adversarial Distribution Balancing for Counterfactual ReasoningCode0
Causal Augmentation for Causal Sentence ClassificationCode0
ECINN: Efficient Counterfactuals from Invertible Neural NetworksCode0
Efficient Classification with Counterfactual Reasoning and Active LearningCode0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language ModelsCode0
Counterfactual reasoning: an analysis of in-context emergenceCode0
CausAdv: A Causal-based Framework for Detecting Adversarial ExamplesCode0
An Offline Metric for the Debiasedness of Click ModelsCode0
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects EstimationCode0
Efficient computation of contrastive explanationsCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex AnnotationsCode0
Counterfactual Explanations for Natural Language InterfacesCode0
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World DataCode0
Counterfactual Explanations for Models of CodeCode0
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Δ- OPE: Off-Policy Estimation with Pairs of PoliciesCode0
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