Smoothed per-tensor weight quantization: a robust solution for neural network deployment
This paper introduces a novel method to improve quantization outcomes for per-tensor weight quantization, focusing on enhancing computational efficiency and compatibility with resource-constrained hardware. Addressing the inherent challenges of depth-wise convolutions, the proposed smooth quantizati...
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Main Author: | Xin Chang |
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Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2025-07-01
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Series: | International Journal of Electronics and Telecommunications |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/135755/23_4966_Chang_L_sk.pdf |
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