ACQ: Improving Generative Data-free Quantization Via Attention Correction

18 January 2023

Papers citing "ACQ: Improving Generative Data-free Quantization Via Attention Correction"

6 / 6 papers shown

Title
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 81 0 0 29 Oct 2024
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Yunshan Zhong Yuyao Zhou Fei Chao Rongrong Ji MQ 13 1 0 14 May 2023
Overcoming Oscillations in Quantization-Aware Training Markus Nagel Marios Fournarakis Yelysei Bondarenko Tijmen Blankevoort MQ 106 98 0 21 Mar 2022
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics Prasen Kumar Sharma Arun Abraham V. N. Rajendiran MQ 25 7 0 06 Dec 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 52 93 0 01 Mar 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 684 0 31 Jan 2021