MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

This video explains a technique for domain agnostic data augmentation accepted into the ICLR 2021 conference. I am really excited about this technique to bring the success of data augmentation in Computer Vision to more applications! Content Links: Paper: Robert Luxemburg’s video on StyleGAN2 interpolation: Population-Based Augmentation: Cutout: Easy Data Augmentation: TensorFlow Data Augmentation: StyleGAN: Dataset Augmentation in Feature Space: Population-Based Training of Neural Networks: BigGAN: SimCLR: Generative Teaching Networks: Kaggl