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Adapting by Pruning: A Case Study on BERT

Adapting by Pruning: A Case Study on BERT

7 May 2021
Yang Gao
Nicolo Colombo
Wen Wang
ArXivPDFHTML

Papers citing "Adapting by Pruning: A Case Study on BERT"

7 / 7 papers shown
Title
A Survey of Personality, Persona, and Profile in Conversational Agents
  and Chatbots
A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots
Richard Sutcliffe
43
3
0
31 Dec 2023
Improving Personality Consistency in Conversation by Persona Extending
Improving Personality Consistency in Conversation by Persona Extending
Yifan Liu
Wei Wei
Jiayi Liu
Xian-Ling Mao
Rui Fang
Dangyang Chen
35
24
0
23 Aug 2022
Towards Handling Unconstrained User Preferences in Dialogue
Towards Handling Unconstrained User Preferences in Dialogue
S. Pandey
Svetlana Stoyanchev
R. Doddipatla
19
2
0
17 Sep 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
156
345
0
23 Jul 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,032
0
06 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
236
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
6,996
0
20 Apr 2018
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