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Efficient Contextualized Representation: Language Model Pruning for
  Sequence Labeling

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

20 April 2018
Liyuan Liu
Xiang Ren
Jingbo Shang
Jian-wei Peng
Jiawei Han
ArXivPDFHTML

Papers citing "Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling"

4 / 4 papers shown
Title
f-Divergence Minimization for Sequence-Level Knowledge Distillation
f-Divergence Minimization for Sequence-Level Knowledge Distillation
Yuqiao Wen
Zichao Li
Wenyu Du
Lili Mou
30
53
0
27 Jul 2023
The Right Tool for the Job: Matching Model and Instance Complexities
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz
Gabriel Stanovsky
Swabha Swayamdipta
Jesse Dodge
Noah A. Smith
33
167
0
16 Apr 2020
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
1,450
0
18 Mar 2020
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
19
584
0
25 Sep 2019
1