most citedReducing Training Sample Memorization in GANs by Training with Memorization Rejection

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

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…