| UBL: an R package for Utility-based Learning | Apr 27, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| UCB-based Algorithms for Multinomial Logistic Regression Bandits | Mar 21, 2021 | regression | —Unverified | 0 | 0 |
| UGPNet: Universal Generative Prior for Image Restoration | Dec 31, 2023 | DeblurringDenoising | —Unverified | 0 | 0 |
| UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia | Feb 28, 2020 | Automated Essay ScoringBinary Classification | —Unverified | 0 | 0 |
| Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention | Mar 7, 2019 | regressionRepresentation Learning | —Unverified | 0 | 0 |
| Unbiased estimates for linear regression via volume sampling | May 19, 2017 | regression | —Unverified | 0 | 0 |
| Unbiased estimators for random design regression | Jul 8, 2019 | regression | —Unverified | 0 | 0 |
| Unbiased Image Style Transfer | Jul 4, 2018 | regressionStyle Transfer | —Unverified | 0 | 0 |
| Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients | Nov 8, 2023 | regression | —Unverified | 0 | 0 |
| Unbiased least squares regression via averaged stochastic gradient descent | Jun 26, 2024 | regression | —Unverified | 0 | 0 |
| Unbiased Regression Loss for DETRs | Oct 30, 2024 | regression | —Unverified | 0 | 0 |
| Uncertain Natural Language Inference | Sep 6, 2019 | Learning-To-RankNatural Language Inference | —Unverified | 0 | 0 |
| Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees | Oct 27, 2018 | regression | —Unverified | 0 | 0 |
| Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression | Jan 16, 2024 | regression | —Unverified | 0 | 0 |
| Uncertainty Aware Deep Learning for Particle Accelerators | Sep 25, 2023 | Beam PredictionClassification | —Unverified | 0 | 0 |
| Uncertainty-aware predictive modeling for fair data-driven decisions | Nov 4, 2022 | Fairnessregression | —Unverified | 0 | 0 |
| Surrogate Model For Field Optimization Using Beta-VAE Based Regression | Aug 26, 2020 | Bayesian InferenceDisentanglement | —Unverified | 0 | 0 |
| Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors | Jul 17, 2022 | regression | —Unverified | 0 | 0 |
| Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust | Feb 6, 2023 | Computational EfficiencyModel Selection | —Unverified | 0 | 0 |
| Uncertainty Estimation in Machine Learning | Jun 3, 2022 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products | Jun 29, 2024 | Additive modelsEnsemble Learning | —Unverified | 0 | 0 |
| Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products | Mar 14, 2024 | Decision MakingEnsemble Learning | —Unverified | 0 | 0 |
| Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression | Jan 24, 2024 | Domain Adaptationregression | —Unverified | 0 | 0 |
| Uncertainty in Model-Agnostic Meta-Learning using Variational Inference | Jul 27, 2019 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Uncertainty Prediction for Deep Sequential Regression Using Meta Models | Jul 2, 2020 | Predictionregression | —Unverified | 0 | 0 |