| Empirical Risk Minimization under Fairness Constraints | Feb 23, 2018 | Fairness | CodeCode Available | 0 | 5 |
| Denoising individual bias for a fairer binary submatrix detection | Jul 31, 2020 | AttributeClustering | CodeCode Available | 0 | 5 |
| Average Individual Fairness: Algorithms, Generalization and Experiments | May 25, 2019 | ClassificationFairness | CodeCode Available | 0 | 5 |
| Enhancing Fairness of Visual Attribute Predictors | Jul 7, 2022 | AttributeFairness | CodeCode Available | 0 | 5 |
| Addressing Both Statistical and Causal Gender Fairness in NLP Models | Mar 30, 2024 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Individual Preference Stability for Clustering | Jul 7, 2022 | ClusteringFairness | CodeCode Available | 0 | 5 |
| B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions | Mar 14, 2024 | FairnessLanguage Modeling | CodeCode Available | 0 | 5 |
| Fairness and Unfairness in Binary and Multiclass Classification: Quantifying, Calculating, and Bounding | Jun 7, 2022 | Fairness | CodeCode Available | 0 | 5 |
| Designing Closed Human-in-the-loop Deferral Pipelines | Feb 9, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Ensuring Fairness Beyond the Training Data | Jul 12, 2020 | Fairness | CodeCode Available | 0 | 5 |
