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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
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Zhiyuan Liang
Dongwen Tang
Yuhao Zhou
Xuanlei Zhao
Mingjia Shi
...
Damian Borth
Michael M. Bronstein
Yang You
Zhangyang Wang
Kai Wang
OffRL
23
0
0
19 Jun 2025
Improving LoRA with Variational Learning
Improving LoRA with Variational Learning
Bai Cong
Nico Daheim
Yuesong Shen
Rio Yokota
Mohammad Emtiyaz Khan
Thomas Möllenhoff
33
0
0
17 Jun 2025
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Yibo Yang
Sihao Liu
Chuan Rao
Bang An
Tiancheng Shen
Philip Torr
Ming-Hsuan Yang
Bernard Ghanem
24
0
0
16 Jun 2025
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
Harsh Bihany
Shubham Patel
Ashutosh Modi
22
0
0
09 Jun 2025
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
Sohyun Lee
Yeho Kwon
Lukas Hoyer
Suha Kwak
77
0
0
03 Jun 2025
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
Xinyi Wang
Lirong Gao
Haobo Wang
Yiming Zhang
Junbo Zhao
MoE
40
0
0
31 May 2025
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He
Zhihao Duan
Fengqing M Zhu
CLL
29
1
0
30 May 2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
Dacao Zhang
Kun Zhang
Shimao Chu
Le Wu
Xin Li
Si Wei
MoEALMOffRL
35
0
0
28 May 2025
Improved Representation Steering for Language Models
Improved Representation Steering for Language Models
Zhengxuan Wu
Qinan Yu
Aryaman Arora
Christopher D. Manning
Christopher Potts
LLMSV
76
0
0
27 May 2025
HOFT: Householder Orthogonal Fine-tuning
HOFT: Householder Orthogonal Fine-tuning
Alejandro Moreno Arcas
Albert Sanchis
Jorge Civera
Alfons Juan
69
0
0
22 May 2025
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu
Yujia Wang
Jinghui Chen
Lingzhou Xue
101
0
0
18 May 2025
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
Haodong Yang
Lei Wang
Md Zakir Hossain
97
0
0
18 May 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
Federated Low-Rank Adaptation for Foundation Models: A Survey
Yiyuan Yang
Guodong Long
Qinghua Lu
Liming Zhu
Jing Jiang
Chengqi Zhang
AI4CE
80
0
0
16 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen
Ael Quélennec
Van-Tam Nguyen
Enzo Tartaglione
94
0
0
08 May 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
Jieming Bian
Yuanzhe Peng
Lei Wang
Yin Huang
Jie Xu
FedML
117
1
0
29 Apr 2025
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
Zhipu Cui
Andong Tian
Zhi Ying
Jialiang Lu
74
0
0
03 Apr 2025
Towards Symmetric Low-Rank Adapters
Towards Symmetric Low-Rank Adapters
Tales Panoutsos
Rodrygo L. T. Santos
Flavio Figueiredo
173
0
0
29 Mar 2025
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
Jiancheng Zhao
Xingda Yu
Zhen Yang
MoE
88
3
0
27 Mar 2025
LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
Jiancheng Zhao
Xingda Yu
Yuxiang Zhang
Zhen Yang
OffRL
80
0
0
01 Mar 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
101
2
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
253
3
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
Yuxiang Cai
Tianyu Du
Xuhong Zhang
179
0
0
21 Feb 2025
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Aditya Dey
Jonas Kusch
Fadi Al Machot
AI4TS
86
0
0
14 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Beining Zhang
Aditya Kapoor
Mingfei Sun
270
0
0
08 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
464
2
0
05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
179
12
0
04 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
195
1
0
31 Jan 2025
Spectral-Aware Low-Rank Adaptation for Speaker Verification
Spectral-Aware Low-Rank Adaptation for Speaker Verification
Zhe Li
Man-Wai Mak
Mert Pilanci
Hung-yi Lee
Helen Meng
122
0
0
07 Jan 2025
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
CVBMCLL
119
2
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
203
2
0
08 Dec 2024
Customize Segment Anything Model for Multi-Modal Semantic Segmentation
  with Mixture of LoRA Experts
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts
Chenyang Zhu
Bin Xiao
Lin Shi
Shoukun Xu
Xu Zheng
MoE
176
12
0
05 Dec 2024
Robust and Efficient Fine-tuning of LLMs with Bayesian
  Reparameterization of Low-Rank Adaptation
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Ayan Sengupta
Vaibhav Seth
Arinjay Pathak
Natraj Raman
Sriram Gopalakrishnan
Tanmoy Chakraborty
BDL
53
2
0
07 Nov 2024
Disentangling Disentangled Representations: Towards Improved Latent
  Units via Diffusion Models
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Youngjun Jun
Jiwoo Park
Kyobin Choo
Tae Eun Choi
Seong Jae Hwang
CoGe
119
0
0
31 Oct 2024
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA
  Optimization
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen
Si Si
Zhao Meng
Felix X. Yu
Sai Surya Duvvuri
Inderjit Dhillon
Cho-Jui Hsieh
Sanjiv Kumar
72
5
0
27 Oct 2024
GeoLoRA: Geometric integration for parameter efficient fine-tuning
GeoLoRA: Geometric integration for parameter efficient fine-tuning
Steffen Schotthöfer
Emanuele Zangrando
Gianluca Ceruti
Francesco Tudisco
J. Kusch
AI4CE
38
2
0
24 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
181
7
0
24 Oct 2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a
  resource-limited Context
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin
Syed Shakib Sarwar
Mostafa Elhoushi
Sai Qian Zhang
Yuecheng Li
B. D. Salvo
66
1
0
23 Oct 2024
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for
  Parameter-Efficient Fine-Tuning
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning
Yiming Shi
Jiwei Wei
Yujia Wu
Ran Ran
Chengwei Sun
Shiyuan He
Yang Yang
ALM
97
1
0
17 Oct 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Hossein Abdi
Mingfei Sun
Andi Zhang
Samuel Kaski
Wei Pan
73
0
0
15 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of
  Pretrained Large Vision Models
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
Kangtao Lv
Huangsen Cao
Kainan Tu
Yihuai Xu
Zhimeng Zhang
Xin Ding
Yongwei Wang
MoMeAAMLVLM
53
1
0
08 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie
Charilaos I. Kanatsoulis
Arnuv Tandon
Alejandro Ribeiro
183
0
0
05 Oct 2024
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
Artur Kasymov
Marcin Sendera
Michał Stypułkowski
Maciej Ziȩba
Przemysław Spurek
142
1
0
04 Oct 2024
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank
  Constraint?
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
Xi Chen
Kaituo Feng
Changsheng Li
Xunhao Lai
Xiangyu Yue
Ye Yuan
Guoren Wang
94
15
0
02 Oct 2024
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture
  of Shards
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
Sheng Wang
Liheng Chen
Pengan Chen
Jingwei Dong
Boyang Xue
Jiyue Jiang
Lingpeng Kong
Chuan Wu
MoE
100
9
0
01 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
74
1
0
29 Sep 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDaRALM3DV
118
42
0
23 Sep 2024
Communication-Efficient Federated Low-Rank Update Algorithm and its
  Connection to Implicit Regularization
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Haemin Park
Diego Klabjan
FedML
96
1
0
19 Sep 2024
The representation landscape of few-shot learning and fine-tuning in
  large language models
The representation landscape of few-shot learning and fine-tuning in large language models
Diego Doimo
Alessandro Serra
A. Ansuini
Alberto Cazzaniga
135
4
0
05 Sep 2024
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large
  Language Models
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
Xiaojun Xiao
Sen Shen
Qiming Bao
Hongfei Rong
Kairui Liu
Zhongsheng Wang
Jing Liu
67
2
0
31 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning
  Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
73
0
0
23 Aug 2024
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