Evolutionary Architectural Search for Generative Adversarial Networks-Reference-Cited by-同舟云学术

Evolutionary Architectural Search for Generative Adversarial Networks

Published:2022-08 Issue:4 Volume:6 Page:783-794
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Lin Qiuzhen¹^ORCID,Fang Zhixiong¹,Chen Yi²^ORCID,Tan Kay Chen³^ORCID,Li Yun⁴^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. Newcastle University, Newcastle upon Tyne, U.K.

3. Department of Computing, The Hong Kong Polytechnic University, Hong Kong

4. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

Funder

National Natural Science Foundation of China

Research Grants Council of the Hong Kong SAR

Shenzhen Scientific Research and Development Funding Program

University of Electronic Science and Technology of China

Royal Society International Exchanges Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

Reference56 articles.

4. Large scale GAN training for high fidelity natural image synthesis;brock;Proc Int Conf Learn Representations,2019

5. Self-Attention generative adversarial networks;zhang;Proc 36th Int Conf Mach Learn,2018

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