2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
AISTATS 2023poster
Learning with imbalanced data is a challenging problem in deep learning. Over-sampling is a widely used technique to re-balance the sampling distribution of training data. However, most existing over-sampling methods only use intra-class information of minority classes to augment the data but ignore…