uncertainty quantification

Learning from Uncertain Data: From Possible Worlds to Possible Models NeurIPS 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 Length Optimization in Conformal Prediction NeurIPS 2024 Lightweight Delivery Detection on Doorbell Cameras WACV 2024 Linear Opinion Pooling for Uncertainty Quantification on Graphs UAI 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 Linguistic Obfuscation Attacks and Large Language Model Uncertainty EACL 2024 L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer 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 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024 MultiOrg: A Multi-rater Organoid-detection Dataset NeurIPS 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior WACV 2024 Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Visibility Field for Uncertainty-Driven Active Mapping CVPR 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024 Normalizing Flows for Conformal Regression UAI 2024