| Federated Learning with Convex Global and Local Constraints | Oct 16, 2023 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
| A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models | Jul 7, 2024 | Fairness | CodeCode Available | 0 | 5 |
| A Reductions Approach to Fair Classification | Mar 6, 2018 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| A Fair Loss Function for Network Pruning | Nov 18, 2022 | FairnessLesion Classification | CodeCode Available | 0 | 5 |
| A Primal-Dual Subgradient Approachfor Fair Meta Learning | Sep 26, 2020 | FairnessFew-Shot Learning | CodeCode Available | 0 | 5 |
| Domain Adaptive Decision Trees: Implications for Accuracy and Fairness | Feb 27, 2023 | Domain AdaptationFairness | CodeCode Available | 0 | 5 |
| A Study of Implicit Ranking Unfairness in Large Language Models | Nov 13, 2023 | Data AugmentationFairness | CodeCode Available | 0 | 5 |
| Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker | Jul 30, 2024 | Fairness | CodeCode Available | 0 | 5 |
| HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation | May 16, 2025 | BenchmarkingEthics | CodeCode Available | 0 | 5 |
