SFAO: Sign-Flipping-Aware Optimization for Early-Stopping of Binarized Neural Networks

SFAO: Sign-Flipping-Aware Optimization for Early-Stopping of Binarized Neural Networks

One of the vital challenges for the binary neural networks (BNNs) is improving their inference performance by expanding their data representation capabilities for figuring out delicate patterns and nuances in the data. Addressing the explosive computational demands on neural network training is esse...

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Bibliographic Details
Main Authors: Ju Yeon Kang, Chang Ho Ryu, Suk Bong Kang, Tae Hee Han
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
model compression
optimizer
efficient machine learning
binarized neural networks
layer freezing
Online Access:https://ieeexplore.ieee.org/document/10316298/

Internet

https://ieeexplore.ieee.org/document/10316298/

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