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Prune Once for All: Sparse Pre-Trained Language Models
10 November 2021
Ofir Zafrir
Ariel Larey
Guy Boudoukh
Haihao Shen
Moshe Wasserblat
VLM
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Papers citing
"Prune Once for All: Sparse Pre-Trained Language Models"
21 / 21 papers shown
Title
FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation
Chaitali Bhattacharyya
Yeseong Kim
45
0
0
01 May 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
36
0
0
01 Nov 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin
Shangqian Gao
James Seale Smith
Abhishek Patel
Shikhar Tuli
Yilin Shen
Hongxia Jin
Yen-Chang Hsu
71
6
0
19 Aug 2024
Evaluating Zero-Shot Long-Context LLM Compression
Chenyu Wang
Yihan Wang
Kai Li
49
0
0
10 Jun 2024
How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark
Eldar Kurtic
Torsten Hoefler
Dan Alistarh
29
3
0
21 Dec 2023
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Yongqi An
Xu Zhao
Tao Yu
Ming Tang
Jinqiao Wang
31
42
0
19 Dec 2023
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency
Azhar Shaikh
Michael Cochez
Denis Diachkov
Michiel de Rijcke
Sahar Yousefi
25
0
0
09 Nov 2023
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
Daniel Fernando Campos
Alexandre Marques
Mark Kurtz
Chengxiang Zhai
VLM
AAML
11
2
0
30 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu
Tianlong Chen
Zhenyu (Allen) Zhang
Xuxi Chen
Tianjin Huang
Ajay Jaiswal
Zhangyang Wang
26
29
0
03 Mar 2023
Rotation Invariant Quantization for Model Compression
Dor-Joseph Kampeas
Yury Nahshan
Hanoch Kremer
Gil Lederman
Shira Zaloshinski
Zheng Li
E. Haleva
MQ
16
0
0
03 Mar 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Chen Liang
Haoming Jiang
Zheng Li
Xianfeng Tang
Bin Yin
Tuo Zhao
VLM
24
24
0
19 Feb 2023
What Matters In The Structured Pruning of Generative Language Models?
Michael Santacroce
Zixin Wen
Yelong Shen
Yuan-Fang Li
18
32
0
07 Feb 2023
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
Shaoyi Huang
Bowen Lei
Dongkuan Xu
Hongwu Peng
Yue Sun
Mimi Xie
Caiwen Ding
21
19
0
30 Nov 2022
Fast DistilBERT on CPUs
Haihao Shen
Ofir Zafrir
Bo Dong
Hengyu Meng
Xinyu. Ye
Zhe Wang
Yi Ding
Hanwen Chang
Guy Boudoukh
Moshe Wasserblat
VLM
16
2
0
27 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
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
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
91
341
0
05 Jan 2021
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
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 Mar 2020
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
225
575
0
12 Sep 2019
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
297
6,950
0
20 Apr 2018
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