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DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic
  Search-Free Low-Rank Adaptation
v1v2 (latest)

DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

14 October 2022
Mojtaba Valipour
Mehdi Rezagholizadeh
I. Kobyzev
A. Ghodsi
ArXiv (abs)PDFHTML

Papers citing "DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation"

50 / 131 papers shown
Title
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
78
8
0
18 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
72
2
0
13 Aug 2024
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
Yupeng Chang
Yi-Ju Chang
Yuan Wu
ALMAI4CE
159
0
0
08 Aug 2024
SARA: Singular-Value Based Adaptive Low-Rank Adaption
SARA: Singular-Value Based Adaptive Low-Rank Adaption
Jihao Gu
Shuai Chen
Zelin Wang
Yibo Zhang
Ping Gong
80
3
0
06 Aug 2024
Accurate and Efficient Fine-Tuning of Quantized Large Language Models
  Through Optimal Balance
Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance
Ao Shen
Qiang Wang
Zhiquan Lai
Xionglve Li
Dongsheng Li
ALMMQ
54
1
0
24 Jul 2024
AI Act for the Working Programmer
AI Act for the Working Programmer
Holger Hermanns
Anne Lauber-Rönsberg
Philip Meinel
Sarah Sterz
Hanwei Zhang
69
1
0
23 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
93
1
0
16 Jul 2024
SwitchCIT: Switching for Continual Instruction Tuning of Large Language
  Models
SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models
Xinbo Wu
Max Hartman
Vidhata Arjun Jayaraman
Lav Varshney
CLLLRM
110
1
0
16 Jul 2024
Low-Rank Interconnected Adaptation across Layers
Low-Rank Interconnected Adaptation across Layers
Yibo Zhong
Jinman Zhao
Yao Zhou
OffRLMoE
114
1
0
13 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
François Fleuret
MoE
255
8
0
10 Jul 2024
A Survey on LoRA of Large Language Models
A Survey on LoRA of Large Language Models
Yuren Mao
Yuhang Ge
Yijiang Fan
Wenyi Xu
Yu Mi
Zhonghao Hu
Yunjun Gao
ALM
136
41
0
08 Jul 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient
  Fine-tuning
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
Arijit Sehanobish
Avinava Dubey
Krzysztof Choromanski
Somnath Basu Roy Chowdhury
Deepali Jain
Vikas Sindhwani
Snigdha Chaturvedi
ALM
81
3
0
25 Jun 2024
Word Matters: What Influences Domain Adaptation in Summarization?
Word Matters: What Influences Domain Adaptation in Summarization?
Yinghao Li
Siyu Miao
Heyan Huang
Yang Gao
87
4
0
21 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
56
1
0
20 Jun 2024
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal
  Quantization levels and Rank Values trough Differentiable Bayesian Gates
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
Cristian Meo
Ksenia Sycheva
Anirudh Goyal
Justin Dauwels
MQ
72
5
0
18 Jun 2024
Mixture-of-Subspaces in Low-Rank Adaptation
Mixture-of-Subspaces in Low-Rank Adaptation
Taiqiang Wu
Jiahao Wang
Zhe Zhao
Ngai Wong
146
27
0
16 Jun 2024
Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors
Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors
Siyuan Chen
Zelong Guan
Yudong Liu
Phillip B. Gibbons
Phillip B. Gibbons
45
0
0
14 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large
  Language Models
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models
Jing Liu
Ruihao Gong
Mingyang Zhang
Yefei He
Jianfei Cai
Bohan Zhuang
MoE
73
0
0
13 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
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
110
14
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 Lin
Weiping Wang
69
10
0
06 Jun 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
Wings: Learning Multimodal LLMs without Text-only Forgetting
Yi-Kai Zhang
Shiyin Lu
Yang Li
Yanqing Ma
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
De-Chuan Zhan
Han-Jia Ye
VLM
128
10
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
70
3
0
04 Jun 2024
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of
  Knowledge Editing in Large Language Models
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
Cheng-Hsun Hsueh
Paul Kuo-Ming Huang
Tzu-Han Lin
Che-Wei Liao
Hung-Chieh Fang
Chao-Wei Huang
Yun-Nung Chen
KELM
82
6
0
03 Jun 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane
  Reflections
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Massimo Bini
Karsten Roth
Zeynep Akata
Anna Khoreva
69
5
0
30 May 2024
Low-rank finetuning for LLMs: A fairness perspective
Low-rank finetuning for LLMs: A fairness perspective
Saswat Das
Marco Romanelli
Cuong Tran
Zarreen Reza
B. Kailkhura
Ferdinando Fioretto
70
2
0
28 May 2024
Low-Rank Few-Shot Adaptation of Vision-Language Models
Low-Rank Few-Shot Adaptation of Vision-Language Models
Maxime Zanella
Ismail Ben Ayed
OffRLVLM
98
36
0
28 May 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank
  Distribution
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
Yulong Mao
Kaiyu Huang
Changhao Guan
Ganglin Bao
Fengran Mo
Jinan Xu
96
17
0
27 May 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via
  Householder Reflection Adaptation
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan
Haotian Liu
Hongteng Xu
81
5
0
24 May 2024
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
Jialin Zhao
Yingtao Zhang
Xinghang Li
Huaping Liu
C. Cannistraci
61
1
0
24 May 2024
Spectral Adapter: Fine-Tuning in Spectral Space
Spectral Adapter: Fine-Tuning in Spectral Space
Fangzhao Zhang
Mert Pilanci
70
13
0
22 May 2024
Efficient Multimodal Large Language Models: A Survey
Efficient Multimodal Large Language Models: A Survey
Yizhang Jin
Jian Li
Yexin Liu
Tianjun Gu
Kai Wu
...
Xin Tan
Zhenye Gan
Yabiao Wang
Chengjie Wang
Lizhuang Ma
LRM
113
58
0
17 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
173
8
0
10 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
103
35
0
05 May 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
Low-Rank Knowledge Decomposition for Medical Foundation Models
Yuhang Zhou
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
64
3
0
26 Apr 2024
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for
  the Neural Processing of Portuguese
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
T. Osório
Bernardo Leite
Henrique Lopes Cardoso
Luís Gomes
João Rodrigues
Rodrigo Santos
António Branco
78
3
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
155
7
0
08 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
155
104
0
03 Apr 2024
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
Hwichan Kim
S. Sasaki
Sho Hoshino
Ukyo Honda
65
3
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
300
403
0
21 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient
  Low-Rank Adaptation of Large Pre-trained Models
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
Rushi Qiang
Ruiyi Zhang
Pengtao Xie
AI4CE
72
10
0
19 Mar 2024
Continual Forgetting for Pre-trained Vision Models
Continual Forgetting for Pre-trained Vision Models
Hongbo Zhao
Bolin Ni
Haochen Wang
Junsong Fan
Fei Zhu
Yuxi Wang
Yuntao Chen
Gaofeng Meng
Zhaoxiang Zhang
MUVLM
136
13
0
18 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
84
2
0
14 Mar 2024
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective
  Personalization and Stylization in Text-to-Image Generation
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
Likun Li
Haoqi Zeng
Changpeng Yang
Haozhe Jia
Di Xu
DiffM
80
5
0
12 Mar 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network
  Stacking
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
Jialin Li
Qiang Nie
Weifu Fu
Yuhuan Lin
Guangpin Tao
Yong-Jin Liu
Chengjie Wang
91
5
0
07 Mar 2024
Controllable Generation with Text-to-Image Diffusion Models: A Survey
Controllable Generation with Text-to-Image Diffusion Models: A Survey
Pu Cao
Feng Zhou
Qing-Huang Song
Lu Yang
132
38
0
07 Mar 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language
  Models
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
Saeed Najafi
Alona Fyshe
78
2
0
04 Mar 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
Shuhua Shi
Shaohan Huang
Minghui Song
Zhoujun Li
Zihan Zhang
Haizhen Huang
Furu Wei
Weiwei Deng
Feng Sun
Qi Zhang
AI4CE
74
15
0
28 Feb 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
Pengjie Ren
Chengshun Shi
Shiguang Wu
Mengqi Zhang
Zhaochun Ren
Maarten de Rijke
Zhumin Chen
Jiahuan Pei
MoE
209
13
0
27 Feb 2024
LLM Inference Unveiled: Survey and Roofline Model Insights
LLM Inference Unveiled: Survey and Roofline Model Insights
Zhihang Yuan
Yuzhang Shang
Yang Zhou
Zhen Dong
Zhe Zhou
...
Yong Jae Lee
Yan Yan
Beidi Chen
Guangyu Sun
Kurt Keutzer
233
91
0
26 Feb 2024
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
Xiangdi Meng
Damai Dai
Weiyao Luo
Zhe Yang
Shaoxiang Wu
Xiaochen Wang
Peiyi Wang
Qingxiu Dong
Liang Chen
Zhifang Sui
168
12
0
25 Feb 2024
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