A literature review that categorizes and compares NAS techniques for GANs, noting benefits of evolutionary and gradient-based methods along with needs for better metrics and diverse datasets.
Evolved GANs for generating pareto set approximations
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Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis
A literature review that categorizes and compares NAS techniques for GANs, noting benefits of evolutionary and gradient-based methods along with needs for better metrics and diverse datasets.