FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation

22 March 2022

Papers citing "FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation"

3 / 3 papers shown

Title
Optimization of FPGA-based CNN Accelerators Using Metaheuristics S. M. Sait A. El-Maleh Mohammad Altakrouri Ahmad Shawahna 16 7 0 22 Sep 2022
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 20 1 0 02 Aug 2021
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017