Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning-Reference-Cited by-同舟云学术

Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Yi¹^ORCID,Huang Sheng²^ORCID,Peng Xi³,Yang Dan¹^ORCID

Affiliation:

1. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

2. School of Big Data and Software Engineering and the Ministry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, China

3. Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10012316.pdf?arnumber=10012316

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