| Causal Feature Selection for Algorithmic Fairness | Jun 10, 2020 | Data IntegrationFairness | —Unverified | 0 |
| FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis | Dec 21, 2024 | Contrastive LearningData Augmentation | —Unverified | 0 |
| FairDD: Fair Dataset Distillation via Synchronized Matching | Nov 29, 2024 | Dataset DistillationFairness | —Unverified | 0 |
| Fair Decision-Making for Food Inspections | Aug 12, 2021 | Decision MakingFairness | —Unverified | 0 |
| Fair Decision-making Under Uncertainty | Jan 29, 2023 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Fair Decision Rules for Binary Classification | Jul 3, 2021 | Binary ClassificationClassification | —Unverified | 0 |
| FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication | Apr 24, 2024 | Fairness | —Unverified | 0 |
| Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias | Dec 6, 2024 | DiagnosticFairness | —Unverified | 0 |
| FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning | Jun 9, 2025 | FairnessMulti-Objective Reinforcement Learning | —Unverified | 0 |
| Fair Differentially Private Federated Learning Framework | May 23, 2023 | FairnessFederated Learning | —Unverified | 0 |
