Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models

Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models

20 October 2023

Li Shen

Liang Ding

Bo Du

Papers citing "Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models"

7 / 7 papers shown

Title
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 44 47 0 30 Sep 2021
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation Marzieh S. Tahaei Ella Charlaix V. Nia A. Ghodsi Mehdi Rezagholizadeh 41 22 0 13 Sep 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 136 177 0 13 Sep 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 86 332 0 05 Jan 2021
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
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018