| Distraction is All You Need for Fairness | Mar 15, 2022 | AllClassification | CodeCode Available | 0 | 5 |
| Loss Balancing for Fair Supervised Learning | Nov 7, 2023 | Face RecognitionFairness | CodeCode Available | 0 | 5 |
| Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions | Nov 1, 2021 | Fairness | CodeCode Available | 0 | 5 |
| LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops | Aug 11, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| Enhancing New-item Fairness in Dynamic Recommender Systems | Apr 30, 2025 | FairnessKnowledge Distillation | CodeCode Available | 0 | 5 |
| Enhancing Fairness of Visual Attribute Predictors | Jul 7, 2022 | AttributeFairness | CodeCode Available | 0 | 5 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| Enhancing Group Fairness in Online Settings Using Oblique Decision Forests | Oct 17, 2023 | Fairness | CodeCode Available | 0 | 5 |
| Enhancing Robust Fairness via Confusional Spectral Regularization | Jan 22, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees | Jun 15, 2018 | ClassificationFairness | CodeCode Available | 0 | 5 |
