Distribution Augmentation for Generative Modeling

This video explains a recent paper from OpenAI exploring how to improve generative models with data augmentation. DistAug conditions models on the transformation in a multi-task learning way. This results in improved performance, particularly with more parameters, more augmentations, and less dropout! Thanks for watching! Please Subscribe! Paper Links: DistAug: https://ift.tt/2P2ZuBv ImageGPT: https://ift.tt/2Yap1hh A Survey on Image Data Augmentation: https://ift.tt/2DJXJDs Training GANs with Limited Data: https://ift.tt/3e8wmU8