Improving Generalization of Model-Agnostic Meta-Learning by Channel Exchanging-Reference-Cited by-同舟云学术

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Improving Generalization of Model-Agnostic Meta-Learning by Channel Exchanging

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electronics and Devices, Computational Science (ICEDCS)
language:
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Author:

Zhang Ce¹,Chen Ruixuan¹,Zeng Yifeng¹,Ren Shaolong¹,Cui Qingshan¹

Affiliation:

1. Hohai University,The College of IoT Engineering,Changzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9996974/9996975/09997003.pdf?arnumber=9997003

Reference16 articles.

1. Data Enhancement

2. Adam: A Method for Stochastic Optimization[J];kingma;Computer Science,2014

3. Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L2,1 Regularization[C];shao;ECML/PKDD Springer,2015

4. Dropout: A Simple Way to Prevent Neural Networks from Overfitting[J];srivastava;Journal of Machine Learning Research,2014

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