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Towards a Unified View of Parameter-Efficient Transfer Learning

Towards a Unified View of Parameter-Efficient Transfer Learning

8 October 2021
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
    AAML
ArXivPDFHTML

Papers citing "Towards a Unified View of Parameter-Efficient Transfer Learning"

50 / 633 papers shown
Title
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode
  Multi-view Latent Diffusion
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion
Xinyang Li
Zhangyu Lai
Linning Xu
Jianfei Guo
Liujuan Cao
Shengchuan Zhang
Bo Dai
Rongrong Ji
DiffM
53
8
0
16 May 2024
Striking a Balance between Classical and Deep Learning Approaches in
  Natural Language Processing Pedagogy
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
Aditya Joshi
Jake Renzella
Pushpak Bhattacharyya
Saurav Jha
Xiangyu Zhang
19
0
0
16 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
Group-aware Parameter-efficient Updating for Content-Adaptive Neural
  Video Compression
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression
Zhenghao Chen
Luping Zhou
Zhihao Hu
Dong Xu
28
9
0
07 May 2024
FedSC: Provable Federated Self-supervised Learning with Spectral
  Contrastive Objective over Non-i.i.d. Data
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Shusen Jing
Anlan Yu
Shuai Zhang
Songyang Zhang
FedML
31
1
0
07 May 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao
Qichao Wang
Aochuan Chen
Zijing Liu
Bingzhe Wu
Liang Chen
Jia Li
43
25
0
05 May 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu
Jingzhao Zhang
39
7
0
04 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TS
AI4CE
45
22
0
03 May 2024
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document
  Abstractive Summarization
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
Dongqi Pu
Vera Demberg
38
5
0
01 May 2024
BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models
BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models
Jiamin Li
Le Xu
Hong-Yu Xu
Aditya Akella
24
1
0
28 Apr 2024
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs:
  Full-Parameter vs. Parameter-Efficient Approaches
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Clément Christophe
Praveen K Kanithi
Prateek Munjal
Tathagata Raha
Nasir Hayat
...
Charles Chen
Natalia Vassilieva
Boulbaba Ben Amor
Marco AF Pimentel
Shadab Khan
AI4MH
LM&MA
33
28
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
35
1
0
22 Apr 2024
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based
  Mixture of Experts
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
Dengchun Li
Yingzi Ma
Naizheng Wang
Zhengmao Ye
Zhiyuan Cheng
...
Yan Zhang
Lei Duan
Jie Zuo
Cal Yang
Mingjie Tang
MoE
40
44
0
22 Apr 2024
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and
  Modalities
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities
Kunxi Li
Tianyu Zhan
Kairui Fu
Shengyu Zhang
Kun Kuang
Jiwei Li
Zhou Zhao
Fei Wu
MoMe
24
0
0
20 Apr 2024
AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks
  with Adapters
AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters
Hao-Wei Chen
Yu-Syuan Xu
Kelvin C. K. Chan
Hsien-Kai Kuo
Chun-Yi Lee
Ming-Hsuan Yang
31
1
0
17 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
52
19
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
46
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
26
5
0
12 Apr 2024
PromptSync: Bridging Domain Gaps in Vision-Language Models through
  Class-Aware Prototype Alignment and Discrimination
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination
Anant Khandelwal
VLM
23
1
0
11 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized
  Smoothing
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing
Chengyan Fu
Wenjie Wang
AAML
32
0
0
08 Apr 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large
  Language Model
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
Chao Gao
Sai Qian Zhang
ALM
123
7
0
08 Apr 2024
Facial Affective Behavior Analysis with Instruction Tuning
Facial Affective Behavior Analysis with Instruction Tuning
Yifan Li
Anh Dao
Wentao Bao
Zhen Tan
Tianlong Chen
Huan Liu
Yu Kong
CVBM
60
15
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
37
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
46
7
0
05 Apr 2024
ReFT: Representation Finetuning for Language Models
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu
Aryaman Arora
Zheng Wang
Atticus Geiger
Daniel Jurafsky
Christopher D. Manning
Christopher Potts
OffRL
38
1
0
04 Apr 2024
Personalized LLM Response Generation with Parameterized Memory Injection
Personalized LLM Response Generation with Parameterized Memory Injection
Kai Zhang
Lizhi Qing
Yangyang Kang
36
11
0
04 Apr 2024
BAdam: A Memory Efficient Full Parameter Optimization Method for Large
  Language Models
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
Qi Luo
Hengxu Yu
Xiao Li
47
1
0
03 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
73
0
03 Apr 2024
Mixture-of-Depths: Dynamically allocating compute in transformer-based
  language models
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
David Raposo
Sam Ritter
Blake A. Richards
Timothy Lillicrap
Peter C. Humphreys
Adam Santoro
MoE
40
69
0
02 Apr 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental
  Learners
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
Keon-Hee Park
Kyungwoo Song
Gyeong-Moon Park
VLM
CLL
40
16
0
02 Apr 2024
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for
  Multilingual Semantic Textual Relatedness
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness
Miaoran Zhang
Mingyang Wang
Jesujoba Oluwadara Alabi
Dietrich Klakow
VLM
46
4
0
01 Apr 2024
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed A. Agiza
Marina Neseem
Sherief Reda
MoE
48
12
0
29 Mar 2024
Model Stock: All we need is just a few fine-tuned models
Model Stock: All we need is just a few fine-tuned models
Dong-Hwan Jang
Sangdoo Yun
Dongyoon Han
OODD
MoMe
34
38
0
28 Mar 2024
Dual-Personalizing Adapter for Federated Foundation Models
Dual-Personalizing Adapter for Federated Foundation Models
Yiyuan Yang
Guodong Long
Taoshu Shen
Jing Jiang
Michael Blumenstein
94
19
0
28 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
45
8
0
27 Mar 2024
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
Qian Chen
Dongyang Li
Xiaofeng He
Hongzhao Li
Hongyu Yi
24
0
0
25 Mar 2024
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
Xiang-Li Lu
Hwai-Jung Hsu
Che-Wei Chou
H. T. Kung
Chen-Hsin Lee
Sheng-Mao Cheng
AI4CE
31
0
0
25 Mar 2024
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language
  Models
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
Zequan Liu
Jiawen Lyn
Wei-wei Zhu
Xing Tian
Yvette Graham
OffRL
37
10
0
24 Mar 2024
Not All Attention is Needed: Parameter and Computation Efficient
  Transfer Learning for Multi-modal Large Language Models
Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
Qiong Wu
Weihao Ye
Yiyi Zhou
Xiaoshuai Sun
Rongrong Ji
MoE
49
1
0
22 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
150
310
0
21 Mar 2024
Improving LoRA in Privacy-preserving Federated Learning
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun
Zitao Li
Yaliang Li
Bolin Ding
35
57
0
18 Mar 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer
  Attention Modules
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules
Xiangyu Chen
Jing Liu
Ye Wang
Pu Wang
Matthew Brand
Guanghui Wang
T. Koike-Akino
48
7
0
18 Mar 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and
  Efficient Tuning
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
Lingyi Hong
Shilin Yan
Renrui Zhang
Wanyun Li
Xinyu Zhou
...
Kaixun Jiang
Yiting Chen
Jinglun Li
Zhaoyu Chen
Wenqiang Zhang
VLM
34
38
0
14 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy
  Traps
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
Ruixuan Liu
Tianhao Wang
Yang Cao
Li Xiong
AAML
SILM
56
15
0
14 Mar 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient
  Fine-Tuning with Low-Rank Bottlenecks
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu
Tinne Tuytelaars
Marie-Francine Moens
MoE
46
2
0
14 Mar 2024
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language
  Pre-train Model
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model
Yuxin Tian
Mouxing Yang
Yunfan Li
Dayiheng Liu
Xingzhang Ren
Xiaocui Peng
Jiancheng Lv
VLM
42
0
0
13 Mar 2024
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A
  Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang
Yuwei Wang
Yang Li
Yi Zeng
44
0
0
12 Mar 2024
SPA: Towards A Computational Friendly Cloud-Base and On-Devices
  Collaboration Seq2seq Personalized Generation
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation
Yanming Liu
Xinyue Peng
Jiannan Cao
Le Dai
Xingzu Liu
Mingbang Wang
Weihao Liu
SyDa
44
2
0
11 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
43
5
0
05 Mar 2024
Derivative-Free Optimization for Low-Rank Adaptation in Large Language
  Models
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
Feihu Jin
Yin Liu
Ying Tan
35
3
0
04 Mar 2024
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