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20182025
most citedImproving Neural Network Quantization without Retraining using Outlier Channel Splitting

151 citations · 160 across the 13 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AR2023

M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs

Yuzong Chen, Jordan Dotzel, Mohamed S. Abdelfattah

Mixed-precision quantization is a popular approach for compressing deep neural networks (DNNs). However, it is challenging to scale the performance efficiently with mixed-precision…

cs.CV2023★ 1 cited

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search

Jordan Dotzel, Gang Wu, Andrew Li +9

Quantization has become a mainstream compression technique for reducing model size, computational requirements, and energy consumption for modern deep neural networks (DNNs). With…