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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 Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le
Chau Nguyen
Huy Nguyen
Quyen Tran
Trung Le
Nhat Ho
44
4
0
03 Oct 2024
Differentially Private Parameter-Efficient Fine-tuning for Large ASR
  Models
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
Hongbin Liu
Lun Wang
Om Thakkar
Abhradeep Thakurta
Arun Narayanan
37
0
0
02 Oct 2024
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for
  Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
Yang Li
Wenhan Yu
Jun Zhao
35
1
0
01 Oct 2024
HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models
HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models
Bingshen Mu
Kun Wei
Qijie Shao
Yong Xu
Lei Xie
MoE
44
1
0
30 Sep 2024
Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient
  Fine-Tuning
Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient Fine-Tuning
Yibo Zhong
Yao Zhou
26
0
0
29 Sep 2024
Vision-Language Models are Strong Noisy Label Detectors
Vision-Language Models are Strong Noisy Label Detectors
Tong Wei
Yiming Li
Chun-Shu Li
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
VLM
39
3
0
29 Sep 2024
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent
  Representation MOdification
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
Tianfang Xie
Tianjing Li
Wei Zhu
Wei Han
Yi Zhao
34
5
0
26 Sep 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Saber Malekmohammadi
G. Farnadi
32
2
0
26 Sep 2024
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth
  Estimation
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
Richard D. Paul
Alessio Quercia
Vincent Fortuin
Katharina Nöh
Hanno Scharr
UQCV
BDL
29
2
0
25 Sep 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient
  Modification
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
Ming Li
J. Zhong
Chenxin Li
Liuzhuozheng Li
Nie Lin
Masashi Sugiyama
CLIP
VLM
30
5
0
25 Sep 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision
  Transformer
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
29
0
0
21 Sep 2024
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard
  Updated Transformation
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
Geyuan Zhang
Xiaofei Zhou
Chuheng Chen
29
0
0
20 Sep 2024
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series
  Foundational Models
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
Divij Gupta
Anubhav Bhatti
Surajsinh Parmar
AI4TS
34
1
0
17 Sep 2024
Propulsion: Steering LLM with Tiny Fine-Tuning
Propulsion: Steering LLM with Tiny Fine-Tuning
Md. Kowsher
Nusrat Jahan Prottasha
Prakash Bhat
51
4
0
17 Sep 2024
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using
  a Single Camera
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera
Jingpei Lu
Zekai Liang
Tristin Xie
Florian Ritcher
Shan Lin
Sainan Liu
Michael C. Yip
29
5
0
16 Sep 2024
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
49
1
0
11 Sep 2024
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting
  for Pansharpening
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening
Ruocheng Wu
ZiEn Zhang
ShangQi Deng
YuLe Duan
LiangJian Deng
45
0
0
11 Sep 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous
  Low-Rank Adaptations
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang
Zheyu Shen
Yexiao He
Guoheng Sun
Hongyi Wang
Lingjuan Lyu
Ang Li
32
29
0
09 Sep 2024
LLMs Will Always Hallucinate, and We Need to Live With This
LLMs Will Always Hallucinate, and We Need to Live With This
Sourav Banerjee
Ayushi Agarwal
Saloni Singla
HILM
LRM
32
35
0
09 Sep 2024
Efficient Training of Large Vision Models via Advanced Automated
  Progressive Learning
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
Changlin Li
Jiawei Zhang
Sihao Lin
Zongxin Yang
Junwei Liang
Xiaodan Liang
Xiaojun Chang
VLM
33
0
0
06 Sep 2024
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
Hayeon Jo
Hyesong Choi
Minhee Cho
Dongbo Min
44
1
0
04 Sep 2024
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus
  Segmentation and Alzheimer's Disease Diagnosis
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis
Wangang Cheng
Guanghua He
Keli Hu
Mingyu Fang
Liang Dong
Zhong Li
Hancan Zhu
44
0
0
02 Sep 2024
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical
  Image Analysis via Target Parameter Pre-training
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
Xingliang Lei
Yiwen Ye
Ziyang Chen
Minglei Shu
Yong Xia
50
1
0
27 Aug 2024
CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task
CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task
Lingyun Huang
Jianxu Mao
Yaonan Wang
Junfei Yi
Ziming Tao
VLM
VPVLM
50
1
0
27 Aug 2024
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large
  Language Models
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Aradhye Agarwal
Suhas K Ramesh
Ayan Sengupta
Tanmoy Chakraborty
25
1
0
26 Aug 2024
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Cheng Lin
Lujun Li
Dezhi Li
Jie Zou
Wei Xue
Yike Guo
AI4TS
46
4
0
18 Aug 2024
OU-CoViT: Copula-Enhanced Bi-Channel Multi-Task Vision Transformers with
  Dual Adaptation for OU-UWF Images
OU-CoViT: Copula-Enhanced Bi-Channel Multi-Task Vision Transformers with Dual Adaptation for OU-UWF Images
Yang Li
Jianing Deng
Chong Zhong
Danjuan Yang
Meiyan Li
A. H. Welsh
Aiyi Liu
Xingtao Zhou
Catherine C. Liu
Bo Fu
29
0
0
18 Aug 2024
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual
  Recognition Tasks
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Dongshuo Yin
Leiyi Hu
Bin Li
Youqun Zhang
Xue Yang
46
7
0
15 Aug 2024
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for
  Medical Image Synthesis
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis
Yuchen Mao
Hongwei Bran Li
Wei Pang
G. Papanastasiou
G. Yang
Chengjia Wang
MedIm
47
2
0
13 Aug 2024
Token Compensator: Altering Inference Cost of Vision Transformer without
  Re-Tuning
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
Shibo Jie
Yehui Tang
Jianyuan Guo
Zhi-Hong Deng
Kai Han
Yunhe Wang
VLM
41
4
0
13 Aug 2024
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in
  Underperformed Scenes
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
Ke Zhou
Zhongwei Qiu
Dongmei Fu
VLM
43
1
0
12 Aug 2024
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Wenlve Zhou
Zhiheng Zhou
VLM
38
33
0
05 Aug 2024
Contribution-based Low-Rank Adaptation with Pre-training Model for Real
  Image Restoration
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
Donwon Park
Leixian Shen
Se Young Chun
32
2
0
02 Aug 2024
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with
  Accelerated LLMs
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs
Afia Anjum
Maksim E. Eren
V. Setlur
Boian Alexandrov
Manish Bhattarai
29
2
0
02 Aug 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
Jy-yong Sohn
Dohyun Kwon
Seoyeon An
Kangwook Lee
46
0
0
01 Aug 2024
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
Bin Cheng
Jiaxuan Lu
30
0
0
01 Aug 2024
CELLM: An Efficient Communication in Large Language Models Training for
  Federated Learning
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
Raja Vavekanand
Kira Sam
56
0
0
30 Jul 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion
  Forecasting Models
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang
Kaouther Messaoud
Yuejiang Liu
Juergen Gall
Alexandre Alahi
42
0
0
28 Jul 2024
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation
Tz-Ying Wu
Kyle Min
Subarna Tripathi
Nuno Vasconcelos
EgoV
55
0
0
28 Jul 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu Li
Jia Li
56
2
0
27 Jul 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
42
5
0
24 Jul 2024
Exploring the Effectiveness and Consistency of Task Selection in
  Intermediate-Task Transfer Learning
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
Pin-Jie Lin
Miaoran Zhang
Marius Mosbach
Dietrich Klakow
38
0
0
23 Jul 2024
Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language
  Encoders
Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language Encoders
Laura Niss
Kevin Vogt-Lowell
Theodoros Tsiligkaridis
VLM
41
0
0
22 Jul 2024
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
Jiahang Tu
Wei Ji
Han Zhao
Chao Zhang
Roger Zimmermann
Hui Qian
38
5
0
22 Jul 2024
CP-Prompt: Composition-Based Cross-modal Prompting for
  Domain-Incremental Continual Learning
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng
Zhen Tian
Yifan Zhu
Zongfu Han
Haoran Luo
Guangwei Zhang
Meina Song
CLL
VLM
44
6
0
22 Jul 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint
  Embedding of Unimodal Models
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
Donggeun Kim
Taesup Kim
31
4
0
17 Jul 2024
Enhancing Parameter Efficiency and Generalization in Large-Scale Models:
  A Regularized and Masked Low-Rank Adaptation Approach
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach
Yuzhu Mao
Siqi Ping
Zihao Zhao
Yang Liu
Wenbo Ding
37
1
0
16 Jul 2024
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language
  Pre-trained Models
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou
Yongjian Wu
Jiya Saiyin
Bingzheng Wei
Maode Lai
Eric Chang
Yan Xu
VLM
51
0
0
16 Jul 2024
Revolutionizing Bridge Operation and maintenance with LLM-based Agents:
  An Overview of Applications and Insights
Revolutionizing Bridge Operation and maintenance with LLM-based Agents: An Overview of Applications and Insights
Xinyu-Chen
Lianzhen-Zhang
LLMAG
AI4CE
45
2
0
14 Jul 2024
Low-Rank Interconnected Adaptation Across Layers
Low-Rank Interconnected Adaptation Across Layers
Yibo Zhong
Yao Zhou
OffRL
MoE
48
1
0
13 Jul 2024
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