| A Survey on Bias and Fairness in Machine Learning | Aug 23, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Fair NLP Models with Differentially Private Text Encoders | May 12, 2022 | Fairness | CodeCode Available | 0 |
| FairNN- Conjoint Learning of Fair Representations for Fair Decisions | Apr 5, 2020 | ClassificationDecision Making | CodeCode Available | 0 |
| Reproducibility study of FairAC | Jun 5, 2024 | AttributeFairness | CodeCode Available | 0 |
| Consistent Range Approximation for Fair Predictive Modeling | Dec 21, 2022 | FairnessSelection bias | CodeCode Available | 0 |
| Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation" | Jul 29, 2024 | FairnessImage Generation | CodeCode Available | 0 |
| Fair-OBNC: Correcting Label Noise for Fairer Datasets | Oct 8, 2024 | Fairness | CodeCode Available | 0 |
| FairOD: Fairness-aware Outlier Detection | Dec 5, 2020 | FairnessOutlier Detection | CodeCode Available | 0 |
| Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations | Aug 31, 2024 | FairnessLink Prediction | CodeCode Available | 0 |
| Benchmarking the Fairness of Image Upsampling Methods | Jan 24, 2024 | BenchmarkingDiversity | CodeCode Available | 0 |
