An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging-Reference-Cited by-同舟云学术

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An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Smith Joshua,Gashler Michael

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8258911/8260597/08260720.pdf?arnumber=8260720

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence;IEEE Transactions on Neural Networks and Learning Systems;2023

4. Identifying States of Complex Technological and Biotechnological Systems under Uncertainty Conditions*;2020 7th International Conference on Control, Decision and Information Technologies (CoDIT);2020-06-29

5. Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks;Neural Processing Letters;2019-07-04

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