Tweeted By @goodfellow_ian

This new family of GAN loss functions looks promising! I'm especially excited about Fig 4-6, where we see that the new loss results in much faster learning during the first several iterations of training. I implemented the RSGAN loss on a toy problem and it worked well. https://t.co/BgVPQZE4Nx

— Ian Goodfellow (@goodfellow_ian) July 3, 2018