TAB : unified and optimized ternary, binary and mixed-precision neural network inference on the edge

TAB : unified and optimized ternary, binary and mixed-precision neural network inference on the edge

Ternary Neural Networks (TNNs) and mixed-precision Ternary Binary Networks (TBNs) have demonstrated higher accuracy compared to Binary Neural Networks (BNNs) while providing fast, low-power and memory-efficient inference. Related works have improved the accuracy of TNNs and TBNs, but overlooked thei...

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Bibliographic Details
Main Authors: Zhu, Shien, Duong, Luan H. K., Liu, Weichen
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computer systems organization::Performance of systems
Edge Computing
Ternary Neural Networks
Binary Neural Networks
Online Access:https://hdl.handle.net/10356/155648

Internet

https://hdl.handle.net/10356/155648

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