Uncertainty Quantification

Uncertainty-Guided Never-Ending Learning to Drive CVPR 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty Resolution in Misinformation Detection EACL 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 Value-Distributional Model-Based Reinforcement Learning JMLR 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System Interspeech 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation ACL 2023 AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 Bayesian Optimization with Conformal Prediction Sets AISTATS 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality NeurIPS 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023