Open ThomasGoerttler opened 1 year ago
How much meta-learning is in image-to-image translation? ...in which we discover how meta-learning and transfer learning are fundamentally about distinguishing the general from the domain-specific and how we can discover this by examining the loss functions of image-to-image translation methods and GANs.
is this too short?
it is fine. But what does ... stand for? At which point does our sentece fragement complete something else?
short version of article (not abstract)