| Mitigating Unwanted Biases with Adversarial Learning | Jan 22, 2018 | FairnessGeneral Classification | CodeCode Available | 1 |
| Provably Fair Representations | Oct 12, 2017 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| From Parity to Preference-based Notions of Fairness in Classification | Jun 30, 2017 | ClassificationDecision Making | CodeCode Available | 1 |
| Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment | Oct 26, 2016 | Decision MakingFairness | CodeCode Available | 1 |
| Fairness Constraints: Mechanisms for Fair Classification | Jul 19, 2015 | ClassificationDecision Making | CodeCode Available | 1 |
| A Reproducibility Study of Product-side Fairness in Bundle Recommendation | Jul 18, 2025 | FairnessRecommendation Systems | CodeCode Available | 0 |
| FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient | Jul 17, 2025 | FairnessFederated Learning | —Unverified | 0 |
| FADE: Adversarial Concept Erasure in Flow Models | Jul 16, 2025 | FairnessImage Generation | —Unverified | 0 |
| Looking for Fairness in Recommender Systems | Jul 16, 2025 | FairnessRecommendation Systems | —Unverified | 0 |
| Guiding LLM Decision-Making with Fairness Reward Models | Jul 15, 2025 | Decision MakingFairness | CodeCode Available | 0 |
