| Robustness and Reliability When Training With Noisy Labels | Oct 7, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement | Oct 7, 2021 | Image EnhancementImage-to-Image Translation | —Unverified | 0 |
| An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions | Oct 7, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Residual Overfit Method of Exploration | Oct 6, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization | Oct 5, 2021 | Model OptimizationOut-of-Distribution Detection | —Unverified | 0 |
| Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs | Oct 3, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Lagrangian Inference for Ranking Problems | Oct 1, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation | Sep 30, 2021 | BIG-bench Machine LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION | Sep 29, 2021 | Decoderimage-classification | —Unverified | 0 |
