| Demystifying the Effects of Non-Independence in Federated Learning | Mar 20, 2021 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Algorithms, Incentives, and Democracy | Jul 5, 2023 | ClassificationFairness | —Unverified | 0 | 0 |
| Demystifying Deep Neural Networks Through Interpretation: A Survey | Dec 13, 2020 | FairnessSurvey | —Unverified | 0 | 0 |
| DemoShapley: Valuation of Demonstrations for In-Context Learning | Oct 10, 2024 | FairnessFew-Shot Learning | —Unverified | 0 | 0 |
| Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing | Aug 25, 2020 | Combinatorial OptimizationDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Algorithms for Fair Team Formation in Online Labour Marketplaces | Feb 14, 2020 | Fairness | —Unverified | 0 | 0 |
| Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models | Oct 18, 2024 | FairnessMultiple-choice | —Unverified | 0 | 0 |
| Achieving Fairness Across Local and Global Models in Federated Learning | Jun 24, 2024 | FairnessFederated Learning | —Unverified | 0 | 0 |
| A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form | Jan 27, 2021 | FairnessForm | —Unverified | 0 | 0 |
| Load Balancing in Federated Learning | Aug 1, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
