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Efficient Fine-Tuning of BERT Models on the Edge

Efficient Fine-Tuning of BERT Models on the Edge

3 May 2022
Danilo Vucetic
Mohammadreza Tayaranian
M. Ziaeefard
J. Clark
B. Meyer
W. Gross
ArXivPDFHTML

Papers citing "Efficient Fine-Tuning of BERT Models on the Edge"

5 / 5 papers shown
Title
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
79
2
0
24 Feb 2025
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
49
3
0
24 Oct 2024
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
52
10
0
23 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
32
0
23 Aug 2023
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
6,959
0
20 Apr 2018
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