| PI3NN: Out-of-distribution-aware prediction intervals from three neural networks | Aug 5, 2021 | Prediction IntervalsUncertainty Quantification | CodeCode Available | 1 |
| Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows | Aug 4, 2021 | Decision MakingImage Segmentation | CodeCode Available | 1 |
| Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models | Jul 21, 2021 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks | Jul 15, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| Laplace Redux -- Effortless Bayesian Deep Learning | Jun 28, 2021 | Deep LearningMisconceptions | CodeCode Available | 1 |
| Medical Matting: A New Perspective on Medical Segmentation with Uncertainty | Jun 18, 2021 | Image MattingImage Segmentation | CodeCode Available | 1 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 |
| When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting | Jun 7, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
