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Weight Squeezing: Reparameterization for Knowledge Transfer and Model
  Compression

Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression

14 October 2020
Artem Chumachenko
Daniil Gavrilov
Nikita Balagansky
Pavel Kalaidin
ArXivPDFHTML

Papers citing "Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression"

3 / 3 papers shown
Title
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
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
233
576
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
299
6,984
0
20 Apr 2018
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