Learning Data Manipulation for Augmentation and Weighting
Table 4: Accuracy of Data Weighting on Imbalanced CIFAR10. The first row shows the number of training examples in each of the two classes.
['[BOLD] Model', '20:1000', '50:1000', '100:1000']
Similarly, our method outperforms other comparison approaches. In contrast, the fixed proportion-based method sometimes harms the performance as in the 50:1000 and 100:1000 settings.