| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Deontological Ethics By Monotonicity Shape Constraints | Jan 31, 2020 | EthicsFairness | CodeCode Available | 1 | 5 |
| An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes | Oct 1, 2024 | FairnessSurvival Analysis | CodeCode Available | 1 | 5 |
| Disparate Impact in Differential Privacy from Gradient Misalignment | Jun 15, 2022 | Fairness | CodeCode Available | 1 | 5 |
| Distributionally Generative Augmentation for Fair Facial Attribute Classification | Mar 11, 2024 | AttributeClassification | CodeCode Available | 1 | 5 |
| Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics | Jun 6, 2022 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Agnostic Federated Learning | Feb 1, 2019 | Cloud ComputingDomain Adaptation | CodeCode Available | 1 | 5 |
| Cohort Shapley value for algorithmic fairness | May 15, 2021 | AttributeFairness | CodeCode Available | 1 | 5 |
| CheXclusion: Fairness gaps in deep chest X-ray classifiers | Feb 14, 2020 | AllDiagnostic | CodeCode Available | 1 | 5 |
| CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions | Aug 29, 2022 | 16kFairness | CodeCode Available | 1 | 5 |
