| Unaware Fairness: Hierarchical Random Forest for Protected Classes | Jun 30, 2021 | Fairness | —Unverified | 0 | 0 |
| Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation | Aug 7, 2021 | Exposure FairnessFairness | —Unverified | 0 | 0 |
| Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem | Aug 15, 2023 | Binary ClassificationDomain Adaptation | —Unverified | 0 | 0 |
| Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion | Dec 31, 2024 | Fairness | —Unverified | 0 | 0 |
| Unbiased Graph Embedding with Biased Graph Observations | Oct 26, 2021 | FairnessGraph Embedding | —Unverified | 0 | 0 |
| Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks | Jul 3, 2023 | AttributeFairness | —Unverified | 0 | 0 |
| Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms | Dec 22, 2020 | ClassificationFairness | —Unverified | 0 | 0 |
| Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions | Jun 25, 2024 | counterfactualDecision Making | —Unverified | 0 | 0 |
| Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization | Feb 18, 2025 | Autonomous DrivingBayesian Optimization | —Unverified | 0 | 0 |
| Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty | Nov 15, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
