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Uncertainty Quantification

805 papers

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Papers

Label Noise Robustness of Conformal Prediction JMLR 2024 Label-wise Aleatoric and Epistemic Uncertainty Quantification UAI 2024 Large Language Models Must Be Taught to Know What They Don’t Know NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 Localized Adaptive Risk Control NeurIPS 2024 LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 Membership Inference Attack Using Self Influence Functions WACV 2024 Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024 NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild CVPR 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Normalizing Flows for Conformal Regression UAI 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 On the Estimation of Image-matching Uncertainty in Visual Place Recognition CVPR 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024