| A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control | Mar 30, 2025 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis | Oct 8, 2023 | FairnessMedical Diagnosis | CodeCode Available | 1 |
| Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold | Sep 23, 2021 | Fairness | CodeCode Available | 1 |
| Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative | Oct 7, 2022 | Contrastive LearningFairness | CodeCode Available | 1 |
| Achieving Fairness at No Utility Cost via Data Reweighing with Influence | Feb 1, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark | Nov 12, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Federated Learning with Taskonomy for Non-IID Data | Mar 29, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Ditto: Fair and Robust Federated Learning Through Personalization | Dec 8, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
| A Stochastic Optimization Framework for Fair Risk Minimization | Feb 24, 2021 | Binary ClassificationFairness | CodeCode Available | 1 |
| AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models | Jan 7, 2022 | Fairness | CodeCode Available | 1 |
