| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors | Mar 6, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks | Mar 2, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 |
| Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning | Feb 23, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography | Feb 22, 2022 | Computed Tomography (CT)Decision Making | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging | Feb 10, 2022 | Conformal PredictionImage-to-Image Regression | CodeCode Available | 1 |
| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | Feb 7, 2022 | text-classificationText Classification | CodeCode Available | 1 |
