29 citations · 31 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection
Andrew Bai, Cho-Jui Hsieh, Wendy Kan +1
Generative adversarial network (GAN) continues to be a popular research direction due to its high generation quality. It is observed that many state-of-the-art GANs generate sample…
cs.LG2021★ 29 cited
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
Ching-Yuan Bai, Hsuan-Tien Lin, Colin Raffel +1
Many recent developments on generative models for natural images have relied on heuristically-motivated metrics that can be easily gamed by memorizing a small sample from the true…