Training GANs with Limited Data

This video explains the Adaptive Discriminator Augmentation (ADA) technique from researchers at NVIDIA to train GANs with as few as 1,000 examples! This is a strategy to use data augmentation for discriminator overfitting without causing the generator to in turn produce data with these augmentations. Thanks for watching! Please Subscribe! Paper Links: Training GANs with Limited Data: https://ift.tt/2AEj2Z2 Image Augmentations for GAN Training: https://ift.tt/3dUDzXH bCR / zCR: https://ift.tt/37G9IQz RandAugment: https://ift.tt/2QRHZ8l Freeze Discriminator: https://ift.tt/2HUe7mU MineGAN (not mentioned, but another interesting paper w.r.t. transfer learning in GANs): https://ift.tt/2N4Uz1C