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counterfactual

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TitleStatusHype
Translational Lung Imaging Analysis Through Disentangled Representations—0
Transmission Benefits and Cost Allocation under Ambiguity—0
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications—0
Treatment Effects in Bunching Designs: The Impact of Mandatory Overtime Pay on Hours—0
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions—0
Tree-based Synthetic Control Methods: Consequences of moving the US Embassy—0
Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation—0
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning—0
Trustless Audits without Revealing Data or Models—0
Trustworthy Actionable Perturbations—0
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals—0
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound—0
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation—0
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?—0
Two Sample Unconditional Quantile Effect—0
Two-step counterfactual generation for OOD examples—0
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification—0
Unbiased Learning to Rank: Counterfactual and Online Approaches—0
Unbiased Learning-to-Rank with Biased Feedback—0
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions—0
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series—0
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions—0
Unconditional Quantile Regression with High Dimensional Data—0
Uncovering Bias in Large Vision-Language Models with Counterfactuals—0
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals—0
Uncovering the Source of Machine Bias—0
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning—0
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making—0
On the Cause of Unfairness: A Training Sample Perspective—0
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation—0
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping—0
Unified Merger List in the Container Shipping Industry from 1966 to 2022: A Structural Estimation of M&A Matching—0
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—0
Unifying (Machine) Vision via Counterfactual World Modeling—0
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels—0
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Unit Selection: Case Study and Comparison with A/B Test Heuristic—0
Universal Inference for Incomplete Discrete Choice Models—0
Unlocking the Potential of Deep Counterfactual Value Networks—0
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision—0
Unsupervised dense retrieval with conterfactual contrastive learning—0
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding—0
Unsupervised Model Diagnosis—0
Unsupervised Structural-Counterfactual Generation under Domain Shift—0
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA—0
Unveiling the Potential of Counterfactuals Explanations in Employability—0
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits—0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
Use-Case-Grounded Simulations for Explanation Evaluation—0
User Strategization and Trustworthy Algorithms—0
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