| Continual Learning with Pre-Trained Models: A Survey | Jan 29, 2024 | Continual LearningFairness | CodeCode Available | 4 |
| Aequitas Flow: Streamlining Fair ML Experimentation | May 9, 2024 | BenchmarkingFairness | CodeCode Available | 4 |
| GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning | Aug 20, 2023 | FairnessFederated Learning | CodeCode Available | 4 |
| ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models | Apr 19, 2022 | FairnessFew-Shot Image Classification | CodeCode Available | 4 |
| Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment | Jan 16, 2025 | Causal Inferencecounterfactual | CodeCode Available | 4 |
| TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data | Jan 21, 2025 | FairnessImputation | CodeCode Available | 4 |
| A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges | Jan 4, 2025 | FairnessHallucination | CodeCode Available | 4 |
| A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation | Jan 22, 2024 | BenchmarkingDiagnostic | CodeCode Available | 3 |
| Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning | Dec 28, 2024 | FairnessFederated Learning | CodeCode Available | 3 |
| Fairness in Serving Large Language Models | Dec 31, 2023 | FairnessScheduling | CodeCode Available | 3 |
