| CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization | Mar 10, 2022 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines | Apr 23, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Analyzing Fairness in Deepfake Detection With Massively Annotated Databases | Aug 11, 2022 | AttributeDecision Making | CodeCode Available | 1 | 5 |
| CheXclusion: Fairness gaps in deep chest X-ray classifiers | Feb 14, 2020 | AllDiagnostic | CodeCode Available | 1 | 5 |
| Cohort Shapley value for algorithmic fairness | May 15, 2021 | AttributeFairness | CodeCode Available | 1 | 5 |
| A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice | Jul 18, 2024 | Collaborative FilteringFairness | CodeCode Available | 1 | 5 |
| Debiased Explainable Pairwise Ranking from Implicit Feedback | Jul 30, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Certified Monotonic Neural Networks | Nov 20, 2020 | Fairness | CodeCode Available | 1 | 5 |
| Aequitas: A Bias and Fairness Audit Toolkit | Nov 14, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| CFA: Class-wise Calibrated Fair Adversarial Training | Mar 25, 2023 | Adversarial RobustnessFairness | CodeCode Available | 1 | 5 |
