| Conformal Off-policy Prediction | Jun 14, 2022 | Conformal PredictionOff-policy evaluation | CodeCode Available | 0 | 5 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 | 5 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 | 5 |
| Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles | May 2, 2023 | Active LearningDomain Generalization | CodeCode Available | 0 | 5 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems | Oct 18, 2023 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Building Conformal Prediction Intervals with Approximate Message Passing | Oct 21, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
