1. Flexibly fair representation learning by disentangle-ment;creager;Proceedings of the International Conference on Machine Learning,0
2. Fairness by Learning Orthogonal Disentangled Representations
3. Fair mixup: Fair-ness via interpolation;chuang;Proceedings of the International Conference on Machine Learning,0
4. Fairbatch: Batch selection for model fairness;roh;Proceedings of the International Conference on Learning Representations,0
5. Fifa: Making fairness more generalizable in classifiers trained on imbalanced data;deng;Proceedings of the International Conference on Learning Representations,0