| Composing Agents to Minimize Worst-case Risk | Jun 5, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Fair Augmentation for Graph Collaborative Filtering | Aug 22, 2024 | Collaborative FilteringFairness | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning | May 3, 2025 | AttributeFace Recognition | CodeCode Available | 0 | 5 |
| Fair Classification with Adversarial Perturbations | Jun 10, 2021 | ClassificationFairness | CodeCode Available | 0 | 5 |
| A Survey on Bias and Fairness in Machine Learning | Aug 23, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees | Jun 8, 2020 | FairnessGeneral Classification | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
