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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 / 819 papers shown
Title
Revisiting semi-supervised learning in the era of foundation models
Ping Zhang
Zheda Mai
Quang-Huy Nguyen
Wei-Lun Chao
52
0
0
12 Mar 2025
1LoRA: Summation Compression for Very Low-Rank Adaptation
Alessio Quercia
Zhuo Cao
Arya Bangun
Richard D. Paul
Abigail Morrison
Ira Assent
Hanno Scharr
58
0
0
11 Mar 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen
Ping Wang
Zihan Zhou
Xinming Zhang
Zuxuan Wu
Yu Jiang
CLL
60
0
0
11 Mar 2025
AI-native Memory 2.0: Second Me
Jiale Wei
Xiang Ying
Tao Gao
Fangyi Bao
Felix Tao
Jingbo Shang
59
1
0
11 Mar 2025
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang
Jin Wang
Liang-Chih Yu
Dan Xu
Xuejie Zhang
40
0
0
08 Mar 2025
Dynamically evolving segment anything model with continuous learning for medical image segmentation
Zhaori Liu
Mengyang Li
Hu Han
Enli Zhang
Shiguang Shan
Zhiming Zhao
VLM
57
0
0
08 Mar 2025
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Jiaming Liu
Linghe Kong
Guihai Chen
76
0
0
08 Mar 2025
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models
Md Azim Khan
A. Gangopadhyay
Jianwu Wang
Robert F. Erbacher
VLM
59
0
0
08 Mar 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
V. Cevher
MQ
54
3
0
07 Mar 2025
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning
Yao Du
Jiaxin Zhuang
Xiaoyu Zheng
Jing Cong
Limei Guo
Chao He
Lin Luo
Xiaomeng Li
MedIm
54
1
0
05 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao
Yuman Wu
Ali Payani
Myungjin Lee
Mingrui Liu
45
1
0
05 Mar 2025
Towards hyperparameter-free optimization with differential privacy
Zhiqi Bu
Ruixuan Liu
32
2
0
02 Mar 2025
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
Zihao Luo
Zijun Gao
Wenjun Liao
Shichuan Zhang
Guotai Wang
Xiangde Luo
47
0
0
02 Mar 2025
Unsupervised Parameter Efficient Source-free Post-pretraining
Unsupervised Parameter Efficient Source-free Post-pretraining
Abhishek Jha
Tinne Tuytelaars
Yuki M. Asano
OOD
45
0
0
28 Feb 2025
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
Taiqiang Wu
Chenchen Ding
Wenyong Zhou
Yuxin Cheng
Xincheng Feng
Shuqi Wang
Chufan Shi
Z. Liu
Ngai Wong
58
0
0
27 Feb 2025
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning
Liang Li
Xingke Yang
Wen Wu
Hao Wang
Tomoaki Ohtsuki
Xin Fu
Miao Pan
Xuemin Shen
38
1
0
27 Feb 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
Ping Zhang
Zhaorui Zhang
Sheng Di
Yao Xin
Benben Liu
50
1
0
26 Feb 2025
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
82
2
0
24 Feb 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu
Xinyue Peng
Yuwei Zhang
Xiaolan Ke
Songhang Deng
...
Sheng Cheng
Xun Wang
Jianwei Yin
Tianyu Du
Xuhong Zhang
86
0
0
21 Feb 2025
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou
Qizheng Zhang
Hermann Kumbong
Kunle Olukotun
MQ
276
0
0
12 Feb 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
93
0
0
10 Feb 2025
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
Yue Zhu
Haiwen Diao
Shang Gao
Long Chen
Huchuan Lu
89
0
0
10 Feb 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
43
0
0
09 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
Mingming Gong
186
1
0
05 Feb 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen
Yuanxin Guo
Yue Ju
Harik Dalal
Ashish Khisti
48
2
0
03 Feb 2025
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
Zequan Liu
Yi Zhao
Ming Tan
Wei Zhu
Aaron Xuxiang Tian
43
0
0
03 Feb 2025
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin
Namyong Park
Xiaoyi Liu
Grey Yang
115
0
0
31 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
116
7
0
28 Jan 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen
Bin Qin
Jiangmeng Li
Hao Chen
Bing-Huang Su
85
0
0
27 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
46
8
0
23 Jan 2025
A Resource-Efficient Training Framework for Remote Sensing Text--Image Retrieval
A Resource-Efficient Training Framework for Remote Sensing Text--Image Retrieval
Weihang Zhang
Jihao Li
Shuoke Li
Ziqing Niu
Jialiang Chen
Wenkai Zhang
VLM
46
0
0
18 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
44
0
0
12 Jan 2025
A Hessian-informed hyperparameter optimization for differential learning rate
A Hessian-informed hyperparameter optimization for differential learning rate
Shiyun Xu
Zhiqi Bu
Yiliang Zhang
Ian Barnett
39
1
0
12 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
35
1
0
08 Jan 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
Tanay Agrawal
Mohammed Guermal
Michal Balazia
François Brémond
31
0
0
08 Jan 2025
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
Ting Liu
Zunnan Xu
Yue Hu
Liangtao Shi
Zhiqiang Wang
Quanjun Yin
65
2
0
03 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Y. Liu
You He
VLM
59
3
0
31 Dec 2024
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
Hao Du
Shang Liu
Lele Zheng
Yang Cao
Atsuyoshi Nakamura
Lei Chen
AAML
114
3
0
21 Dec 2024
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
Yaming Zhang
Chenqiang Gao
Fangcen Liu
Junjie Guo
Lan Wang
Xinggan Peng
Deyu Meng
106
0
0
21 Dec 2024
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Yifei Duan
Liu Li
Zirui Zhai
Jinxia Yao
80
0
0
17 Dec 2024
Enhance Vision-Language Alignment with Noise
Enhance Vision-Language Alignment with Noise
Sida Huang
Hongyuan Zhang
Xuelong Li
VLM
82
1
0
14 Dec 2024
Selective Visual Prompting in Vision Mamba
Selective Visual Prompting in Vision Mamba
Yifeng Yao
Zichen Liu
Zhenyu Cui
Yuxin Peng
Jiahuan Zhou
VLM
Mamba
93
1
0
12 Dec 2024
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face
  Recognition
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
Kartik Narayan
Nithin Gopalakrishnan Nair
Jennifer Xu
Rama Chellappa
Vishal M. Patel
CVBM
CLL
72
1
0
10 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
94
1
0
08 Dec 2024
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
Zehua Wang
C. J. Li
QiXiang Ye
Tong Zhang
MoE
84
1
0
03 Dec 2024
Sustainable Self-evolution Adversarial Training
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
71
0
0
03 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
100
6
0
30 Nov 2024
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through
  Frequency-Based Adaptation
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
S. Ly
Hien Nguyen
82
1
0
28 Nov 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMe
CLL
91
3
0
28 Nov 2024
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
Shih-Heng Wang
Zih-Ching Chen
Jiatong Shi
Ming To Chuang
Guan-Ting Lin
Kuan Po Huang
David Harwath
Shang-Wen Li
Hung-yi Lee
81
1
0
27 Nov 2024
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