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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
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