| E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems | Apr 20, 2023 | DiversityFairness | CodeCode Available | 0 | 5 |
| KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning | Sep 19, 2023 | Face VerificationFairness | CodeCode Available | 0 | 5 |
| All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation | Nov 9, 2023 | AllFairness | CodeCode Available | 0 | 5 |
| Variational Fair Clustering | Jun 19, 2019 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models | Apr 12, 2024 | FairnessTabular Data Generation | CodeCode Available | 0 | 5 |
| Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation | Sep 20, 2022 | FairnessGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Differentially Private Fair Binary Classifications | Feb 23, 2024 | Binary ClassificationFairness | CodeCode Available | 0 | 5 |
| Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker | Jul 30, 2024 | Fairness | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
