Hellinger Loss Boosts GAN Performance
Analysis
This ArXiv article likely explores the application of the Hellinger distance as a loss function within Generative Adversarial Networks (GANs). The potential benefits could include improved stability and better sample quality in the generated output.
Key Takeaways
Reference / Citation
View Original"The article's focus is on using the Hellinger loss function in the context of GANs."