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| Multi-Objective Recommendation via Multivariate Policy Learning | May 3, 2024 | Decision MakingDiversity | CodeCode Available | 0 |
| Towards Fairness in Provably Communication-Efficient Federated Recommender Systems | May 3, 2024 | FairnessFederated Learning | —Unverified | 0 |
| How to Diversify any Personalized Recommender? A User-centric Pre-processing approach | May 3, 2024 | DiversityFairness | —Unverified | 0 |
| Learning under Imitative Strategic Behavior with Unforeseeable Outcomes | May 3, 2024 | Fairness | CodeCode Available | 0 |
| Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization | May 3, 2024 | ArticlesDocument Summarization | —Unverified | 0 |
| Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning | May 3, 2024 | Computational EfficiencyFairness | —Unverified | 0 |
| The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification | May 3, 2024 | Fairnesstext-classification | —Unverified | 0 |
| Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks | May 3, 2024 | FairnessImage Segmentation | —Unverified | 0 |
| Individual Fairness Through Reweighting and Tuning | May 2, 2024 | FairnessTransfer Learning | —Unverified | 0 |
