RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Yu Gong, Greg Mori, Frederick Tung

Data imbalance, in which a plurality of the data samples come from a small proportion of labels, poses a challenge in training deep neural networks. Unlike classification, in regre…