#PolicySearching

A Peek into Automatic Data Augmentation by Policy Searching

When training a model based on machine-learning (ML) or deep-learning (DL), data augmentation (DA) is a crucial technique to improve the model’s generalization performance and train better representation. However, it relies heavily on human experience or intuition. The ML/DL community has recognized this problem and has been making efforts to find ways to effectively perform […]