PTQ-SL: Exploring the Sub-layerwise Post-training Quantization

15 October 2021

Papers citing "PTQ-SL: Exploring the Sub-layerwise Post-training Quantization"

6 / 6 papers shown

Title
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 95 426 0 10 Feb 2021
EasyQuant: Post-training Quantization via Scale Optimization Di Wu Qingming Tang Yongle Zhao Ming Zhang Ying Fu Debing Zhang MQ 53 77 0 30 Jun 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 37 563 0 22 Apr 2020
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 109 2,845 0 17 Jun 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 43 945 0 16 May 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 122 3,090 0 15 Dec 2017