| Improved Active Learning via Dependent Leverage Score Sampling | Oct 8, 2023 | Active LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Improved Calibration of Numerical Integration Error in Sigma-Point Filters | Nov 28, 2018 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 | 0 |
| Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification | Apr 3, 2025 | counterfactualMolecular Property Prediction | —Unverified | 0 | 0 |
| Improving Label Error Detection and Elimination with Uncertainty Quantification | May 15, 2024 | Ensemble Learningimage-classification | —Unverified | 0 | 0 |
| Improving mathematical questioning in teacher training | Dec 2, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions | Oct 7, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty | Sep 7, 2023 | In-Context LearningInstruction Following | —Unverified | 0 | 0 |
| Improving Random Forests by Smoothing | May 11, 2025 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models | Jun 30, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
