| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection | Oct 4, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Active Inference or Control as Inference? A Unifying View | Oct 1, 2020 | Uncertainty Quantification | —Unverified | 0 |
| A robustness measure for singular point and index estimation in discretized orientation and vector fields | Sep 30, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry | Sep 30, 2020 | BenchmarkingBIG-bench Machine Learning | —Unverified | 0 |
| BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning | Sep 28, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription | Sep 10, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications | Sep 10, 2020 | Compressive SensingExperimental Design | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
| Mutual Information for Explainable Deep Learning of Multiscale Systems | Sep 7, 2020 | Deep LearningUncertainty Quantification | —Unverified | 0 |
