| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 | 5 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 | 5 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 | 5 |
| Deep learning observables in computational fluid dynamics | Mar 7, 2019 | Deep LearningEfficient Neural Network | CodeCode Available | 1 | 5 |
| Deep Deterministic Uncertainty: A Simple Baseline | Feb 23, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 | 5 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging | Feb 10, 2022 | Conformal PredictionImage-to-Image Regression | CodeCode Available | 1 | 5 |
| A Rate-Distortion View of Uncertainty Quantification | Jun 16, 2024 | Gaussian ProcessesOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 | 5 |
