Uncertainty Quantification

SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration EMNLP 2024 Split Conformal Prediction and Non-Exchangeable Data JMLR 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024 TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024 Test-Time Linear Out-of-Distribution Detection CVPR 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Towards Human-AI Complementarity with Prediction Sets NeurIPS 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Typicalness-Aware Learning for Failure Detection NeurIPS 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024 Uncertainty-aware Fine-tuning of Segmentation Foundation Models NeurIPS 2024 Uncertainty-Aware Yield Prediction with Multimodal Molecular Features AAAI 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty Calibration for Tool-Using Language Agents EMNLP 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024