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PLATON: Pruning Large Transformer Models with Upper Confidence Bound of
  Weight Importance

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

25 June 2022
Qingru Zhang
Simiao Zuo
Chen Liang
Alexander Bukharin
Pengcheng He
Weizhu Chen
T. Zhao
ArXivPDFHTML

Papers citing "PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance"

17 / 17 papers shown
Title
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Jia-Chen Zhang
Yu-Jie Xiong
Chun-Ming Xia
Dong-Hai Zhu
Xi-He Qiu
66
1
0
03 Mar 2025
GoRA: Gradient-driven Adaptive Low Rank Adaptation
GoRA: Gradient-driven Adaptive Low Rank Adaptation
Haonan He
Peng Ye
Yuchen Ren
Yuan Yuan
Lei Chen
AI4TS
AI4CE
193
0
0
13 Feb 2025
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Yang Su
Na Yan
Yansha Deng
Mischa Dohler
Robert Schober
37
0
0
10 Nov 2024
How to Prune Your Language Model: Recovering Accuracy on the "Sparsity
  May Cry'' Benchmark
How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark
Eldar Kurtic
Torsten Hoefler
Dan Alistarh
34
3
0
21 Dec 2023
IncreLoRA: Incremental Parameter Allocation Method for
  Parameter-Efficient Fine-tuning
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
Feiyu F. Zhang
Liangzhi Li
Jun-Cheng Chen
Zhouqian Jiang
Bowen Wang
Yiming Qian
51
33
0
23 Aug 2023
A Simple and Effective Pruning Approach for Large Language Models
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun
Zhuang Liu
Anna Bair
J. Zico Kolter
62
359
0
20 Jun 2023
LoSparse: Structured Compression of Large Language Models based on
  Low-Rank and Sparse Approximation
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Yixiao Li
Yifan Yu
Qingru Zhang
Chen Liang
Pengcheng He
Weizhu Chen
Tuo Zhao
44
69
0
20 Jun 2023
Just CHOP: Embarrassingly Simple LLM Compression
Just CHOP: Embarrassingly Simple LLM Compression
A. Jha
Tom Sherborne
Evan Pete Walsh
Dirk Groeneveld
Emma Strubell
Iz Beltagy
30
3
0
24 May 2023
Gradient-Free Structured Pruning with Unlabeled Data
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova
H. Dai
Dale Schuurmans
SyDa
40
20
0
07 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
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
32
29
0
03 Mar 2023
Structured Pruning of Self-Supervised Pre-trained Models for Speech
  Recognition and Understanding
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding
Yifan Peng
Kwangyoun Kim
Felix Wu
Prashant Sridhar
Shinji Watanabe
27
34
0
27 Feb 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained
  Transformers
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Chen Liang
Haoming Jiang
Zheng Li
Xianfeng Tang
Bin Yin
Tuo Zhao
VLM
27
24
0
19 Feb 2023
What Matters In The Structured Pruning of Generative Language Models?
What Matters In The Structured Pruning of Generative Language Models?
Michael Santacroce
Zixin Wen
Yelong Shen
Yuan-Fang Li
21
33
0
07 Feb 2023
Rethinking Vision Transformers for MobileNet Size and Speed
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li
Ju Hu
Yang Wen
Georgios Evangelidis
Kamyar Salahi
Yanzhi Wang
Sergey Tulyakov
Jian Ren
ViT
35
159
0
15 Dec 2022
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
377
0
23 Jul 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 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
297
6,984
0
20 Apr 2018
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