1. A systematic study of the class imbalance problem in convolutional neural networks
2. Jonathon Byrd and Zachary Lipton . 2019 . What is the effect of importance weighting in deep learning? . In International Conference on Machine Learning. 872--881 . Jonathon Byrd and Zachary Lipton. 2019. What is the effect of importance weighting in deep learning?. In International Conference on Machine Learning. 872--881.
3. Efficient AUC Optimization for Classification
4. Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga and Tengyu Ma. 2019. Learning imbalanced datasets with label-distribution-aware margin loss. In Neural Information Processing Systems. 1567--1578. Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga and Tengyu Ma. 2019. Learning imbalanced datasets with label-distribution-aware margin loss. In Neural Information Processing Systems. 1567--1578.
5. Deli Chen , Yankai Lin , Guangxiang Zhao , Xuancheng Ren , Peng Li , Jie Zhou , and Xu Sun . 2021 . Topology-Imbalance Learning for Semi-Supervised Node Classification . Advances in Neural Information Processing Systems , Vol. 34 (2021). Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, and Xu Sun. 2021. Topology-Imbalance Learning for Semi-Supervised Node Classification. Advances in Neural Information Processing Systems, Vol. 34 (2021).