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Updated: May 27, 2025

Using Generative Art to Convey Past and Future Climate Transitions
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建筑知识蒸用于进化生成对抗网络

Yu Xue1, Yan Lin1, Ferrante Neri2

  • 1School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China.

International journal of neural systems
|February 19, 2025
PubMed
概括

本研究介绍了用于进化GAN (AKD-EGAN) 的架构知识蒸,增强生成对抗网络 (GAN) 训练稳定性和图像质量. AKD-EGAN 改进了神经架构对GAN的搜索,在图像生成任务中实现了卓越的性能.

关键词:
神经架构搜索神经架构搜索建筑学知识蒸蒸进化计算是一种进化计算.生成性的对抗性网络.生成型模型的生成型模型.

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