| Can Active Learning Preemptively Mitigate Fairness Issues? | Apr 14, 2021 | Active LearningFairness | CodeCode Available | 1 | 5 |
| Towards Fair Graph Neural Networks via Graph Counterfactual | Jul 10, 2023 | counterfactualFairness | CodeCode Available | 1 | 5 |
| Can Vision Transformers Learn without Natural Images? | Mar 24, 2021 | FairnessSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Can Editing LLMs Inject Harm? | Jul 29, 2024 | FairnessGeneral Knowledge | CodeCode Available | 1 | 5 |
| Improving the Fairness of Deep Generative Models without Retraining | Dec 9, 2020 | AttributeDiversity | CodeCode Available | 1 | 5 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 | 5 |
| CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework | Jun 20, 2023 | DiversityFairness | CodeCode Available | 1 | 5 |
| Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation | May 12, 2023 | FairnessLanguage Modeling | CodeCode Available | 1 | 5 |
| CaPC Learning: Confidential and Private Collaborative Learning | Feb 9, 2021 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| Data Optimization in Deep Learning: A Survey | Oct 25, 2023 | Data AugmentationDeep Learning | CodeCode Available | 1 | 5 |
