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Exploring Extreme Parameter Compression for Pre-trained Language Models

Exploring Extreme Parameter Compression for Pre-trained Language Models

20 May 2022
Yuxin Ren
Benyou Wang
Lifeng Shang
Xin Jiang
Qun Liu
ArXivPDFHTML

Papers citing "Exploring Extreme Parameter Compression for Pre-trained Language Models"

13 / 13 papers shown
Title
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor
  Factorization for Compression of Generative Language Models
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models
Mingxue Xu
Sadia Sharmin
Danilo P. Mandic
22
2
0
03 Oct 2024
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
25
15
0
05 Sep 2023
Accurate Retraining-free Pruning for Pretrained Encoder-based Language
  Models
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Seungcheol Park
Ho-Jin Choi
U. Kang
VLM
25
5
0
07 Aug 2023
COMCAT: Towards Efficient Compression and Customization of
  Attention-Based Vision Models
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Jinqi Xiao
Miao Yin
Yu Gong
Xiao Zang
Jian Ren
Bo Yuan
VLM
ViT
30
9
0
26 May 2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods
  for Transformer Language Models
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Mohammadreza Banaei
Klaudia Bałazy
Artur Kasymov
R. Lebret
Jacek Tabor
Karl Aberer
OffRL
11
0
0
08 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Y. Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
43
19
0
22 Jan 2023
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Haw-Shiuan Chang
Ruei-Yao Sun
Kathryn Ricci
Andrew McCallum
35
14
0
10 Oct 2022
LightHuBERT: Lightweight and Configurable Speech Representation Learning
  with Once-for-All Hidden-Unit BERT
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT
Rui Wang
Qibing Bai
Junyi Ao
Long Zhou
Zhixiang Xiong
Zhihua Wei
Yu Zhang
Tom Ko
Haizhou Li
28
61
0
29 Mar 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
642
0
21 Apr 2021
BinaryBERT: Pushing the Limit of BERT Quantization
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
221
0
31 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
251
2,012
0
28 Jul 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
221
197
0
07 Feb 2020
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
294
6,943
0
20 Apr 2018
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