EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning-Reference-Cited by-同舟云学术

EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Iman Mohammadreza¹,Miller John A.¹,Rasheed Khaled²,Branch Robert M.³,Arabnia Hamid R.¹

Affiliation:

1. School of Computing, University of Georgia,Athens,Georgia,USA,30602-7404

2. Institute for Artificial Intelligence, Franklin College of Arts and Sciences, University of Georgia,Athens,Georgia,USA,30602-7404

3. Learning, Design, and Technology, Mary Frances Early College of Education, University of Georgia,Athens,Georgia,USA,30602-7404

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216657.pdf?arnumber=10216657

Reference36 articles.

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4. Pathways to Artificial General Intelligence: A Brief Overview of Developments and Ethical Issues via Artificial Intelligence, Machine Learning, Deep Learning, and Data Science

5. Appropriate learning rates of adaptive learning rate optimization algorithms for training deep neural networks;iiduka;IEEE Transactions on Cybernetics,2021

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