| Fair Data Representation for Machine Learning at the Pareto Frontier | Jan 2, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training | Oct 28, 2024 | AttributeCollaborative Filtering | CodeCode Available | 0 |
| Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning | Jan 25, 2024 | Contrastive LearningCOVID-19 Diagnosis | CodeCode Available | 0 |
| Fair Decentralized Learning | Oct 3, 2024 | Fairness | CodeCode Available | 0 |
| Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks | Nov 16, 2023 | ClassificationFairness | CodeCode Available | 0 |
| Improving Fairness of Large Language Models in Multi-document Summarization | Jun 9, 2025 | AttributeDecision Making | CodeCode Available | 0 |
| Improving Fairness using Vision-Language Driven Image Augmentation | Nov 2, 2023 | FairnessImage Augmentation | CodeCode Available | 0 |
| CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework | Jun 5, 2024 | Fairness | CodeCode Available | 0 |
| FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods | Mar 11, 2025 | Adversarial RobustnessFace Detection | CodeCode Available | 0 |
| FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning | Oct 23, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 0 |
