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TitleStatusHype
Explaining Deep Learning Models using Causal Inference—0
Counterfactual Distribution Regression for Structured Inference—0
Explaining Expert Search and Team Formation Systems with ExES—0
Counterfactual Editing for Search Result Explanation—0
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals—0
Counterfactual Edits for Generative Evaluation—0
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning—0
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces—0
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations—0
Counterfactual equivalence for POMDPs, and underlying deterministic environments—0
Estimating the treatment effect over time under general interference through deep learner integrated TMLE—0
Explaining Model Confidence Using Counterfactuals—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Explaining Predictions from Tree-based Boosting Ensembles—0
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?—0
Estimating the Effects of Syrian Civil War—0
A New Class of Explanations for Classifiers with Non-Binary Features—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification—0
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data—0
An ASP-Based Approach to Counterfactual Explanations for Classification—0
Explaining the Black-box Smoothly- A Counterfactual Approach—0
First-Person Fairness in Chatbots—0
Explaining Time Series by Counterfactuals—0
Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball—0
Explaining Visual Models by Causal Attribution—0
Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks—0
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning—0
Estimating Position Bias without Intrusive Interventions—0
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement—0
Counterfactual Analysis under Partial Identification Using Locally Robust Refinement—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
Estimating Nonlinear Network Data Models with Fixed Effects—0
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights—0
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
Estimating Individual Responses when Tomorrow Matters—0
Bikeability and the induced demand for cycling—0
Extending counterfactual accounts of intent to include oblique intent—0
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
Counterfactual Explanation for Regression via Disentanglement in Latent Space—0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
FACE: Feasible and Actionable Counterfactual Explanations—0
Towards Understanding the Influence of Training Samples on Explanations—0
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