| Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans | Mar 4, 2024 | Domain AdaptationFairness | CodeCode Available | 0 |
| Towards Fair and Efficient Learning-based Congestion Control | Mar 4, 2024 | Deep Reinforcement LearningFairness | CodeCode Available | 0 |
| Critical windows: non-asymptotic theory for feature emergence in diffusion models | Mar 3, 2024 | FairnessImage Generation | —Unverified | 0 |
| Exploring Fairness for FAS-assisted Communication Systems: from NOMA to OMA | Mar 1, 2024 | Fairness | —Unverified | 0 |
| Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions | Mar 1, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency | Mar 1, 2024 | FairnessTransfer Learning | —Unverified | 0 |
| AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs | Mar 1, 2024 | FairnessLanguage Modeling | —Unverified | 0 |
| Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain | Feb 29, 2024 | Decision MakingFairness | —Unverified | 0 |
| Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective | Feb 28, 2024 | Fairness | —Unverified | 0 |
| Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification | Feb 28, 2024 | FairnessIn-Context Learning | —Unverified | 0 |
