| Learnable Uncertainty under Laplace Approximations | Oct 6, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Neural Bootstrapper | Oct 2, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Sets for Image Classifiers using Conformal Prediction | Sep 29, 2020 | Conformal PredictionPrediction | CodeCode Available | 1 |
| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates | Aug 24, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior | Aug 20, 2020 | DenoisingImage Denoising | CodeCode Available | 1 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| Uncertainty Quantification and Deep Ensembles | Jul 17, 2020 | Data AugmentationUncertainty Quantification | CodeCode Available | 1 |
