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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate

*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023

Imbalanced Learning

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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022

Computer Vision; Imbalanced Learning

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