| Agnostic Federated Learning | Feb 1, 2019 | Cloud ComputingDomain Adaptation | CodeCode Available | 1 | 5 |
| Aequitas: A Bias and Fairness Audit Toolkit | Nov 14, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Challenges in Automated Debiasing for Toxic Language Detection | Jan 29, 2021 | Fairnesstext-classification | CodeCode Available | 1 | 5 |
| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
| Certified Monotonic Neural Networks | Nov 20, 2020 | Fairness | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
| AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data | Mar 7, 2025 | DiversityFairness | CodeCode Available | 1 | 5 |
| A Closer Look at AUROC and AUPRC under Class Imbalance | Jan 11, 2024 | Binary ClassificationFairness | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Fairness of Graph Neural Networks | Oct 20, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Achieving Fairness at No Utility Cost via Data Reweighing with Influence | Feb 1, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
