| Transferring Fairness under Distribution Shifts via Fair Consistency Regularization | Jun 26, 2022 | Fairness | CodeCode Available | 0 |
| Towards Fair and Privacy-Preserving Federated Deep Models | Jun 4, 2019 | BenchmarkingDeep Learning | CodeCode Available | 0 |
| Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods | Jul 26, 2022 | AttributeDecision Making | CodeCode Available | 0 |
| Towards Fair and Efficient Learning-based Congestion Control | Mar 4, 2024 | Deep Reinforcement LearningFairness | CodeCode Available | 0 |
| Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier | Feb 17, 2025 | Exposure FairnessFairness | CodeCode Available | 0 |
| Joint Multisided Exposure Fairness for Recommendation | Apr 29, 2022 | Exposure FairnessFairness | CodeCode Available | 0 |
| Boosting Fair Classifier Generalization through Adaptive Priority Reweighing | Sep 15, 2023 | Decision MakingFairness | CodeCode Available | 0 |
| When Fair Ranking Meets Uncertain Inference | May 5, 2021 | Fairness | CodeCode Available | 0 |
| Statistical Equity: A Fairness Classification Objective | May 14, 2020 | ClassificationFairness | CodeCode Available | 0 |
| Reconciling Predictive Multiplicity in Practice | Jan 27, 2025 | Causal InferenceFairness | CodeCode Available | 0 |
