CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers

17 November 2022

Papers citing "CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers"

6 / 6 papers shown

Title
A Survey of Techniques for Optimizing Transformer Inference Krishna Teja Chitty-Venkata Sparsh Mittal M. Emani V. Vishwanath Arun Somani 19 60 0 16 Jul 2023
Towards Accurate Post-Training Quantization for Vision Transformer Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 44 66 0 25 Mar 2023
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 37 31 0 13 Sep 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 38 94 0 04 Jul 2022
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 138 183 0 31 Dec 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 214 505 0 12 Sep 2019