Naman Jaswani

Improving GANs for Long-Tailed Data through Group Spectral Regularization

"Deep long-tailed learning aims to train useful deep networks on practical, real-world imbalanced distributions, wherein most labels of the tail classes are associated with a few samples. There has been a large body of work to train discriminative models for visual recognition on long-tailed distrib…