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| Fairness of Machine Learning Algorithms in Demography | Feb 2, 2022 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings | Feb 2, 2022 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems | Feb 2, 2022 | Binary ClassificationDecision Making | —Unverified | 0 |
| Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning | Feb 1, 2022 | Active LearningDistributed Optimization | —Unverified | 0 |
| An Empirical Study of Modular Bias Mitigators and Ensembles | Feb 1, 2022 | Ensemble LearningFairness | —Unverified | 0 |
| Causal Explanations and XAI | Jan 31, 2022 | counterfactualExplainable artificial intelligence | —Unverified | 0 |