| Fairness Measures for Regression via Probabilistic Classification | Jan 16, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| Too Relaxed to Be Fair | Jan 1, 2020 | Fairness | CodeCode Available | 1 |
| Maintaining Discrimination and Fairness in Class Incremental Learning | Nov 16, 2019 | class-incremental learningClass Incremental Learning | CodeCode Available | 1 |
| Learning Fairness in Multi-Agent Systems | Oct 31, 2019 | FairnessHierarchical Reinforcement Learning | CodeCode Available | 1 |
| FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency | Sep 11, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Fair Regression: Quantitative Definitions and Reduction-based Algorithms | May 30, 2019 | AttributeFairness | CodeCode Available | 1 |
| Agnostic Federated Learning | Feb 1, 2019 | Cloud ComputingDomain Adaptation | CodeCode Available | 1 |
| Aequitas: A Bias and Fairness Audit Toolkit | Nov 14, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 |
| Delayed Impact of Fair Machine Learning | Mar 12, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| A comparative study of fairness-enhancing interventions in machine learning | Feb 13, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
