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Parameter-Efficient Transfer Learning for NLP

Parameter-Efficient Transfer Learning for NLP

2 February 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
ArXivPDFHTML

Papers citing "Parameter-Efficient Transfer Learning for NLP"

50 / 729 papers shown
Title
Save It All: Enabling Full Parameter Tuning for Federated Large Language
  Models via Cycle Block Gradient Descent
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang
Zhichao Wang
Xiaoying Tang
37
1
0
17 Jun 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
Chenghao Fan
Zhenyi Lu
Wei Wei
Jie Tian
Xiaoye Qu
Dangyang Chen
Yu Cheng
MoMe
48
5
0
17 Jun 2024
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Rickard Brüel-Gabrielsson
Jiacheng Zhu
Onkar Bhardwaj
Leshem Choshen
Kristjan Greenewald
Mikhail Yurochkin
Justin Solomon
38
5
0
17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized
  LoRA
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Jianhao Zhu
Changze Lv
Xiaohua Wang
Muling Wu
Wenhao Liu
Tianlong Li
Zixuan Ling
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
36
2
0
16 Jun 2024
ShareLoRA: Parameter Efficient and Robust Large Language Model
  Fine-tuning via Shared Low-Rank Adaptation
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Yurun Song
Junchen Zhao
Ian G. Harris
S. Jyothi
32
3
0
16 Jun 2024
A Survey on Large Language Models from General Purpose to Medical
  Applications: Datasets, Methodologies, and Evaluations
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations
Jinqiang Wang
Huansheng Ning
Yi Peng
Qikai Wei
Daniel Tesfai
Wenwei Mao
Tao Zhu
Runhe Huang
LM&MA
AI4MH
ELM
42
4
0
14 Jun 2024
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang
Zeguan Xiao
Shuo Wang
Guanhua Chen
Guanhua Chen
44
19
0
13 Jun 2024
The Impact of Initialization on LoRA Finetuning Dynamics
The Impact of Initialization on LoRA Finetuning Dynamics
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
36
10
0
12 Jun 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and
  Edge-Server Hybrid Inference
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference
Jihwan Bang
Juntae Lee
Kyuhong Shim
Seunghan Yang
Simyung Chang
29
5
0
11 Jun 2024
Learning Fine-Grained Controllability on Speech Generation via Efficient
  Fine-Tuning
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
Chung-Ming Chien
Andros Tjandra
Apoorv Vyas
Matt Le
Bowen Shi
Wei-Ning Hsu
32
0
0
10 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
S. Song
Jianlong Wu
Liqiang Nie
Bernard Ghanem
45
6
0
07 Jun 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Naibin Gu
Peng Fu
Xiyu Liu
Bowen Shen
Zheng-Shen Lin
Weiping Wang
30
6
0
06 Jun 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang
Haotian Sun
Yue Yu
Rushi Qiang
Qifan Wang
Chao Zhang
Bo Dai
AAML
43
14
0
05 Jun 2024
Inv-Adapter: ID Customization Generation via Image Inversion and
  Lightweight Adapter
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
Peng-Fei Xing
Ning Wang
Jianbo Ouyang
Zechao Li
DiffM
38
1
0
05 Jun 2024
Low-Rank Adaption on Transformer-based Oriented Object Detector for
  Satellite Onboard Processing of Remote Sensing Images
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
Xinyang Pu
Feng Xu
32
3
0
04 Jun 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable
  Iterative Finetuning of Large Language Models
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
Chen Zhang
Chengguang Tang
Dading Chong
Ke Shi
Guohua Tang
Feng Jiang
Haizhou Li
31
4
0
30 May 2024
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for
  Retrieval-Augmented Large Language Models
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu
Zhaoheng Huang
Zhicheng Dou
Ji-Rong Wen
RALM
56
5
0
30 May 2024
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
Mingrui Ma
Yu Yang
LM&MA
32
2
0
29 May 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter
  Efficient Finetuning
Trans-LoRA\textit{Trans-LoRA}Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
Runqian Wang
Soumya Ghosh
David D. Cox
Diego Antognini
Aude Oliva
Rogerio Feris
Leonid Karlinsky
32
1
0
27 May 2024
Generating clickbait spoilers with an ensemble of large language models
Generating clickbait spoilers with an ensemble of large language models
M. Woźny
Mateusz Lango
21
1
0
25 May 2024
Large Language Models Meet NLP: A Survey
Large Language Models Meet NLP: A Survey
Libo Qin
Qiguang Chen
Xiachong Feng
Yang Wu
Yongheng Zhang
Yinghui Li
Min Li
Wanxiang Che
Philip S. Yu
ALM
LM&MA
ELM
LRM
40
47
0
21 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
34
30
0
18 May 2024
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain
  Modality Forecasting
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
Divij Gupta
Anubhav Bhatti
Surajsinh Parmar
Chen Dan
Yuwei Liu
Bingjie Shen
San Lee
AI4TS
35
2
0
16 May 2024
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient
  Tuning for Visual Grounding
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding
Ting Liu
Xuyang Liu
Siteng Huang
Honggang Chen
Quanjun Yin
Long Qin
Donglin Wang
Yue Hu
35
5
0
10 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
Jie Xu
Karthikeyan P. Saravanan
Rogier van Dalen
Haaris Mehmood
David Tuckey
Mete Ozay
56
5
0
10 May 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
K. Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Janet Liu
H. Wang
31
23
0
08 May 2024
PhilHumans: Benchmarking Machine Learning for Personal Health
PhilHumans: Benchmarking Machine Learning for Personal Health
Vadim Liventsev
Vivek Kumar
Allmin Pradhap Singh Susaiyah
Zixiu "Alex" Wu
Ivan Rodin
...
Milan Petkovic
Diego Reforgiato Recupero
Ehud Reiter
Daniele Riboni
Raymond Sterling
AI4MH
LM&MA
34
0
0
04 May 2024
The Trade-off between Performance, Efficiency, and Fairness in Adapter
  Modules for Text Classification
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification
Minh Duc Bui
K. Wense
31
0
0
03 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning
  Leveraging Weight Decomposition
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan
Qianqian Yang
Shunpu Tang
Zhiguo Shi
38
13
0
29 Apr 2024
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in
  Radiology with General-Domain Large Language Model
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model
Seonhee Cho
Choonghan Kim
Jiho Lee
Chetan Chilkunda
Sujin Choi
Joo Heung Yoon
48
0
0
29 Apr 2024
HFT: Half Fine-Tuning for Large Language Models
HFT: Half Fine-Tuning for Large Language Models
Tingfeng Hui
Zhenyu Zhang
Shuohuan Wang
Weiran Xu
Yu Sun
Hua-Hong Wu
CLL
37
4
0
29 Apr 2024
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Letitia Parcalabescu
Anette Frank
MLLM
CoGe
VLM
82
3
0
29 Apr 2024
MRScore: Evaluating Radiology Report Generation with LLM-based Reward
  System
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
Yunyi Liu
Zhanyu Wang
Yingshu Li
Xinyu Liang
Lingqiao Liu
Lei Wang
Luping Zhou
LM&MA
11
3
0
27 Apr 2024
HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
Tanmay Sen
Ansuman Das
Mrinmay Sen
39
4
0
26 Apr 2024
No Train but Gain: Language Arithmetic for training-free Language
  Adapters enhancement
No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
Mateusz Klimaszewski
Piotr Andruszkiewicz
Alexandra Birch
MoMe
42
4
0
24 Apr 2024
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in
  Ultrasound Images
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
Zhengzheng Tu
Le Gu
Xixi Wang
Bo Jiang
MedIm
41
3
0
23 Apr 2024
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Yao Yuan
Wutao Liu
Pan Gao
Qun Dai
Jie Qin
32
4
0
23 Apr 2024
ColA: Collaborative Adaptation with Gradient Learning
ColA: Collaborative Adaptation with Gradient Learning
Enmao Diao
Qi Le
Suya Wu
Xinran Wang
Ali Anwar
Jie Ding
Vahid Tarokh
24
1
0
22 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
36
6
0
18 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language
  Models
Personalized Collaborative Fine-Tuning for On-Device Large Language Models
Nicolas Wagner
Dongyang Fan
Martin Jaggi
37
3
0
15 Apr 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Yang Lin
Xinyu Ma
Xu Chu
Yujie Jin
Zhibang Yang
Yasha Wang
Hong-yan Mei
46
19
0
15 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
75
12
0
15 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
35
7
0
13 Apr 2024
Improving Continuous Sign Language Recognition with Adapted Image Models
Improving Continuous Sign Language Recognition with Adapted Image Models
Lianyu Hu
Tongkai Shi
Liqing Gao
Zekang Liu
Wei Feng
VLM
18
5
0
12 Apr 2024
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
William Fleshman
Aleem Khan
Marc Marone
Benjamin Van Durme
CLL
KELM
50
3
0
12 Apr 2024
Data-Augmentation-Based Dialectal Adaptation for LLMs
Data-Augmentation-Based Dialectal Adaptation for LLMs
Fahim Faisal
Antonios Anastasopoulos
31
2
0
11 Apr 2024
Automating Research Synthesis with Domain-Specific Large Language Model
  Fine-Tuning
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak
Peter Hwang
N. Reyes
A. Barczak
Timothy R. McIntosh
Surangika Ranathunga
68
22
0
08 Apr 2024
A Note on LoRA
A Note on LoRA
Vlad Fomenko
Han Yu
Jongho Lee
Stanley Hsieh
Weizhu Chen
30
5
0
07 Apr 2024
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language
  Translation
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
Tong Su
Xin Peng
Sarubi Thillainathan
David Guzmán
Surangika Ranathunga
En-Shiun Annie Lee
35
2
0
05 Apr 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
38
6
0
05 Apr 2024
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