| FairJob: A Real-World Dataset for Fairness in Online Systems | Jul 3, 2024 | AttributeFairness | CodeCode Available | 0 |
| Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models | Jun 20, 2023 | Causal Discoverycounterfactual | CodeCode Available | 0 |
| Fair k-Center Clustering for Data Summarization | Jan 24, 2019 | ClusteringData Summarization | CodeCode Available | 0 |
| When Fair Classification Meets Noisy Protected Attributes | Jul 6, 2023 | AttributeClassification | CodeCode Available | 0 |
| Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation | Jun 10, 2025 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models | Dec 17, 2020 | AllBIG-bench Machine Learning | CodeCode Available | 0 |
| Nonconvex Optimization for Regression with Fairness Constraints | Jul 1, 2018 | AttributeFairness | CodeCode Available | 0 |
| Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization | Mar 23, 2022 | FairnessMisinformation | CodeCode Available | 0 |
| Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria | Mar 13, 2024 | Fairness | CodeCode Available | 0 |
| FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software | Jul 1, 2024 | counterfactualFairness | CodeCode Available | 0 |
