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

• Main Authors: Zhu, Shien, Duong, Luan H. K., Liu, Weichen
• Other Authors: School of Computer Science and Engineering
• Format: 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; https://doi.org/10.21979/N9/RZ75BY
• Institution: Nanyang Technological University

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...