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BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

18 June 2021
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
ArXivPDFHTML

Papers citing "BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models"

50 / 821 papers shown
Title
Data-Centric Foundation Models in Computational Healthcare: A Survey
Data-Centric Foundation Models in Computational Healthcare: A Survey
Yunkun Zhang
Jin Gao
Zheling Tan
Lingfeng Zhou
Kexin Ding
Mu Zhou
Shaoting Zhang
Dequan Wang
AI4CE
45
22
0
04 Jan 2024
Astraios: Parameter-Efficient Instruction Tuning Code Large Language
  Models
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Terry Yue Zhuo
A. Zebaze
Nitchakarn Suppattarachai
Leandro von Werra
H. D. Vries
Qian Liu
Niklas Muennighoff
ALM
41
15
0
01 Jan 2024
Differentially Private Low-Rank Adaptation of Large Language Model Using
  Federated Learning
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Xiao-Yang Liu
Rongyi Zhu
Daochen Zha
Jiechao Gao
Shan Zhong
Matt White
Meikang Qiu
29
15
0
29 Dec 2023
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
  Software Engineering Tasks
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
Wentao Zou
Qi Li
Jidong Ge
Chuanyi Li
Xiaoyu Shen
LiGuo Huang
Bin Luo
34
5
0
25 Dec 2023
A Split-and-Privatize Framework for Large Language Model Fine-Tuning
A Split-and-Privatize Framework for Large Language Model Fine-Tuning
Xicong Shen
Yang Liu
Huiqi Liu
Jue Hong
Bing Duan
Zirui Huang
Yunlong Mao
Ye Wu
Di Wu
70
12
0
25 Dec 2023
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
Hazards from Increasingly Accessible Fine-Tuning of Downloadable
  Foundation Models
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Alan Chan
Ben Bucknall
Herbie Bradley
David M. Krueger
14
6
0
22 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic
  Tensor Selection
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang
Boyuan Yang
Wei Gao
32
18
0
21 Dec 2023
PPEA-Depth: Progressive Parameter-Efficient Adaptation for
  Self-Supervised Monocular Depth Estimation
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong
Yuanchen Guo
Ying-Tian Liu
Fang-Lue Zhang
Song-Hai Zhang
MDE
43
4
0
20 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
55
137
0
19 Dec 2023
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song
Z. Li
Lefei Zhang
Hai Zhao
Bo Du
VLM
29
7
0
19 Dec 2023
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
35
1
0
18 Dec 2023
When Parameter-efficient Tuning Meets General-purpose Vision-language
  Models
When Parameter-efficient Tuning Meets General-purpose Vision-language Models
Yihang Zhai
Haixin Wang
Jianlong Chang
Xinlong Yang
Jinan Sun
Shikun Zhang
Qi Tian
VLM
MLLM
27
1
0
16 Dec 2023
SPT: Fine-Tuning Transformer-based Language Models Efficiently with
  Sparsification
SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification
Yuntao Gui
Xiao Yan
Peiqi Yin
Han Yang
James Cheng
43
2
0
16 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
33
15
0
15 Dec 2023
Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning
Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning
Avelina Asada Hadji-Kyriacou
Ognjen Arandjelović
35
0
0
14 Dec 2023
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense
  Scene Understanding
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
Yi Xin
Junlong Du
Qiang Wang
Zhiwen Lin
Ke Yan
VPVLM
92
49
0
14 Dec 2023
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
Yi Xin
Junlong Du
Qiang Wang
Ke Yan
Shouhong Ding
VLM
47
46
0
14 Dec 2023
EZ-CLIP: Efficient Zeroshot Video Action Recognition
EZ-CLIP: Efficient Zeroshot Video Action Recognition
Shahzad Ahmad
S. Chanda
Yogesh S Rawat
VLM
36
7
0
13 Dec 2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for
  Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Khoi M. Le
Zhiyuan Hu
Cong-Duy Nguyen
See-Kiong Ng
Anh Tuan Luu
36
2
0
12 Dec 2023
Mutual Enhancement of Large and Small Language Models with Cross-Silo
  Knowledge Transfer
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer
Yongheng Deng
Ziqing Qiao
Ju Ren
Yang Liu
Yaoxue Zhang
30
11
0
10 Dec 2023
Initialization Matters for Adversarial Transfer Learning
Initialization Matters for Adversarial Transfer Learning
Andong Hua
Jindong Gu
Zhiyu Xue
Nicholas Carlini
Eric Wong
Yao Qin
AAML
32
6
0
10 Dec 2023
Batched Low-Rank Adaptation of Foundation Models
Batched Low-Rank Adaptation of Foundation Models
Yeming Wen
Swarat Chaudhuri
OffRL
29
19
0
09 Dec 2023
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for
  Domain Generalized Semantic Segmentation
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
Zhixiang Wei
Lin Chen
Yi Jin
Xiaoxiao Ma
Tianle Liu
Pengyang Lin
Ben Wang
H. Chen
Jinjin Zheng
45
42
0
07 Dec 2023
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
Qizhe Zhang
Bocheng Zou
Ruichuan An
Jiaming Liu
Shanghang Zhang
MoE
29
2
0
05 Dec 2023
Clustering Pseudo Language Family in Multilingual Translation Models
  with Fisher Information Matrix
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
Xinyu Ma
Xuebo Liu
Min Zhang
45
1
0
05 Dec 2023
Towards General Purpose Vision Foundation Models for Medical Image
  Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Mohammed Baharoon
Waseem Qureshi
J. Ouyang
Yanwu Xu
Abdulrhman Aljouie
Wei Peng
MedIm
AI4CE
51
8
0
04 Dec 2023
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
Tianyu Ding
Tianyi Chen
Haidong Zhu
Jiachen Jiang
Yiqi Zhong
Jinxin Zhou
Guangzhi Wang
Zhihui Zhu
Ilya Zharkov
Luming Liang
29
22
0
01 Dec 2023
Grounding Foundation Models through Federated Transfer Learning: A
  General Framework
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Yan Kang
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
68
19
0
29 Nov 2023
Efficient Stitchable Task Adaptation
Efficient Stitchable Task Adaptation
Haoyu He
Zizheng Pan
Jing Liu
Jianfei Cai
Bohan Zhuang
34
3
0
29 Nov 2023
End-to-End Temporal Action Detection with 1B Parameters Across 1000
  Frames
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
Shuming Liu
Chen-Da Liu-Zhang
Chen Zhao
Guohao Li
38
25
0
28 Nov 2023
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
Yixuan Luo
Mengye Ren
Sai Qian Zhang
28
0
0
28 Nov 2023
Parameter Efficient Fine-tuning via Cross Block Orchestration for
  Segment Anything Model
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
Zelin Peng
Zhengqin Xu
Zhilin Zeng
Lingxi Xie
Qi Tian
Wei Shen
22
10
0
28 Nov 2023
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Damjan Kalajdzievski
ALM
33
80
0
28 Nov 2023
Side4Video: Spatial-Temporal Side Network for Memory-Efficient
  Image-to-Video Transfer Learning
Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning
Huanjin Yao
Wenhao Wu
Zhiheng Li
VLM
95
9
0
27 Nov 2023
Adapter is All You Need for Tuning Visual Tasks
Adapter is All You Need for Tuning Visual Tasks
Dongshuo Yin
Leiyi Hu
Bin Li
Youqun Zhang
18
15
0
25 Nov 2023
PrivateLoRA For Efficient Privacy Preserving LLM
PrivateLoRA For Efficient Privacy Preserving LLM
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
66
11
0
23 Nov 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via
  Sparsification and Quantization
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Prateek Yadav
Leshem Choshen
Colin Raffel
Mohit Bansal
32
13
0
22 Nov 2023
Towards Better Parameter-Efficient Fine-Tuning for Large Language
  Models: A Position Paper
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
Chengyu Wang
Junbing Yan
Wei Zhang
Jun Huang
ALM
42
3
0
22 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
49
5
0
21 Nov 2023
Applications of Large Scale Foundation Models for Autonomous Driving
Applications of Large Scale Foundation Models for Autonomous Driving
Yu Huang
Yue Chen
Zhu Li
ELM
AI4CE
LRM
ALM
LM&Ro
61
15
0
20 Nov 2023
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient
  Language Model Finetuning
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo
P. Greengard
Eric P. Xing
Yoon Kim
MQ
38
44
0
20 Nov 2023
Zero redundancy distributed learning with differential privacy
Zero redundancy distributed learning with differential privacy
Zhiqi Bu
Justin Chiu
Ruixuan Liu
Sheng Zha
George Karypis
51
8
0
20 Nov 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
Sparse Low-rank Adaptation of Pre-trained Language Models
Ning Ding
Xingtai Lv
Qiaosen Wang
Yulin Chen
Bowen Zhou
Zhiyuan Liu
Maosong Sun
27
55
0
20 Nov 2023
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
MoMe
47
20
0
20 Nov 2023
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer
  Learning
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Clifton A. Poth
Hannah Sterz
Indraneil Paul
Sukannya Purkayastha
Leon Arne Engländer
Timo Imhof
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
Jonas Pfeiffer
32
45
0
18 Nov 2023
A Framework for Monitoring and Retraining Language Models in Real-World
  Applications
A Framework for Monitoring and Retraining Language Models in Real-World Applications
Jaykumar Kasundra
Claudia Schulz
Melicaalsadat Mirsafian
Stavroula Skylaki
OffRL
LRM
34
1
0
16 Nov 2023
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
Adithya Renduchintala
Tugrul Konuk
Oleksii Kuchaiev
MoMe
41
42
0
16 Nov 2023
SiRA: Sparse Mixture of Low Rank Adaptation
SiRA: Sparse Mixture of Low Rank Adaptation
Yun Zhu
Nevan Wichers
Chu-Cheng Lin
Xinyi Wang
Tianlong Chen
...
Han Lu
Canoee Liu
Liangchen Luo
Jindong Chen
Lei Meng
MoE
33
27
0
15 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning
Tunable Soft Prompts are Messengers in Federated Learning
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
46
7
0
12 Nov 2023
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