Loss aware post-training quantization

DOI10.1007/s10994-021-06053-zOpenAlexW3202442802MaRDI QIDQ2071502

Yury Nahshan, Alex M. Bronstein, Avi Mendelson, Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii

Publication date: 28 January 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.07190

zbMATH Keywords

convolutional neural networkspost-training quantization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• BRENT
• GitHub
• BinaryNet

Cites Work

• Curvature formulas for implicit curves and surfaces
• Least squares quantization in PCM
• An efficient method for finding the minimum of a function of several variables without calculating derivatives
• Optimum quantizers and permutation codes
• Unnamed Item
• Unnamed Item