most citedRegularization Methods for Generative Adversarial Networks: An Overview of Recent Studies

24 citations · 31 across the 3 of their papers we have counts for

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cs.LG2020★ 3 cited

Estimation with Uncertainty via Conditional Generative Adversarial Networks

Minhyeok Lee, Junhee Seok

Conventional predictive Artificial Neural Networks (ANNs) commonly employ deterministic weight matrices; therefore, their prediction is a point estimate. Such a deterministic natur…

cs.LG2020★ 4 cited

Score-Guided Generative Adversarial Networks

Minhyeok Lee, Junhee Seok

We propose a Generative Adversarial Network (GAN) that introduces an evaluator module using pre-trained networks. The proposed model, called score-guided GAN (ScoreGAN), is trained…