| Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling | Jan 16, 2024 | Conformal PredictionDecision Making | —Unverified | 0 | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis | Mar 6, 2023 | FairnessLesion Classification | —Unverified | 0 | 0 |
| Evaluating subgroup disparity using epistemic uncertainty in mammography | Jul 6, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction | Oct 7, 2019 | Bayesian InferenceMolecular Property Prediction | —Unverified | 0 | 0 |
| Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited | Aug 7, 2020 | scoring ruleUncertainty Quantification | —Unverified | 0 | 0 |
| Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? | Sep 29, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery | Oct 31, 2022 | Drug DiscoveryUncertainty Quantification | —Unverified | 0 | 0 |
| Evaluating and Boosting Uncertainty Quantification in Classification | Sep 13, 2019 | ClassificationDecision Making | —Unverified | 0 | 0 |
| Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective | Jun 4, 2021 | Uncertainty Quantificationvalid | —Unverified | 0 | 0 |
