| Federated Learning with Fair Averaging | Apr 30, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| User-oriented Fairness in Recommendation | Apr 21, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 |
| Rule Generation for Classification: Scalability, Interpretability, and Fairness | Apr 21, 2021 | ClassificationFairness | CodeCode Available | 1 |
| Can Active Learning Preemptively Mitigate Fairness Issues? | Apr 14, 2021 | Active LearningFairness | CodeCode Available | 1 |
| RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network | Apr 7, 2021 | FairnessImage Retrieval | CodeCode Available | 1 |
| VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations | Apr 6, 2021 | Decision MakingDimensionality Reduction | CodeCode Available | 1 |
| Federated Learning with Taskonomy for Non-IID Data | Mar 29, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Can Vision Transformers Learn without Natural Images? | Mar 24, 2021 | FairnessSelf-Supervised Learning | CodeCode Available | 1 |
| Dynamic Slimmable Network | Mar 24, 2021 | FairnessModel Compression | CodeCode Available | 1 |
| Promoting Fairness through Hyperparameter Optimization | Mar 23, 2021 | FairnessFraud Detection | CodeCode Available | 1 |
