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FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints

FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints

S. Yun
A. Wong
    MQ
ArXiv (abs)PDFHTML

Papers citing "FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints"

2 / 2 papers shown
Title
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
S. Yun
A. Wong
MQ
104
0
0
12 Jun 2025
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
S. Yun
Alexander Wong
MQ
84
27
0
24 Apr 2021