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DoRA: Weight-Decomposed Low-Rank Adaptation

DoRA: Weight-Decomposed Low-Rank Adaptation

14 February 2024
Shih-yang Liu
Chien-Yi Wang
Hongxu Yin
Pavlo Molchanov
Yu-Chiang Frank Wang
Kwang-Ting Cheng
Min-Hung Chen
ArXivPDFHTML

Papers citing "DoRA: Weight-Decomposed Low-Rank Adaptation"

50 / 245 papers shown
Title
Fast Forwarding Low-Rank Training
Fast Forwarding Low-Rank Training
Adir Rahamim
Naomi Saphra
Sara Kangaslahti
Yonatan Belinkov
34
0
0
06 Sep 2024
Multi-Modal Adapter for Vision-Language Models
Multi-Modal Adapter for Vision-Language Models
Dominykas Seputis
Serghei Mihailov
Soham Chatterjee
Zehao Xiao
VLM
36
1
0
03 Sep 2024
Leveraging Open Knowledge for Advancing Task Expertise in Large Language
  Models
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
Yuncheng Yang
Yulei Qin
Tong Wu
Zihan Xu
Gang Li
...
Yuchen Shi
Ke Li
Xing Sun
Jie Yang
Yun Gu
ALM
OffRL
MoE
54
0
0
28 Aug 2024
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
Maxim Zhelnin
Viktor Moskvoretskii
Egor Shvetsov
Egor Venediktov
Mariya Krylova
Aleksandr Zuev
Evgeny Burnaev
32
2
0
27 Aug 2024
Building and better understanding vision-language models: insights and
  future directions
Building and better understanding vision-language models: insights and future directions
Hugo Laurençon
Andrés Marafioti
Victor Sanh
Léo Tronchon
VLM
42
61
0
22 Aug 2024
SORSA: Singular Values and Orthonormal Regularized Singular Vectors
  Adaptation of Large Language Models
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
Yang Cao
44
2
0
21 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
KIND: Knowledge Integration and Diversion for Training Decomposable Models
KIND: Knowledge Integration and Diversion for Training Decomposable Models
Yucheng Xie
Fu Feng
Jing Wang
Jing Wang
Yong Rui
Xin Geng
VLM
36
3
0
14 Aug 2024
Logistic Regression makes small LLMs strong and explainable
  "tens-of-shot" classifiers
Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers
Marcus Buckmann
Edward Hill
40
2
0
06 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
38
3
0
06 Aug 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language
  Models via Weight Disentanglement
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement
Le Yu
Bowen Yu
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
35
5
0
06 Aug 2024
A Federated Learning-Friendly Approach for Parameter-Efficient
  Fine-Tuning of SAM in 3D Segmentation
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
Mothilal Asokan
Difei Gao
Joya Chen
Mike Zheng Shou
FedML
MedIm
39
1
0
31 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
Fine-Tuning Large Language Models for Stock Return Prediction Using
  Newsflow
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
Tian Guo
E. Hauptmann
AIFin
41
3
0
25 Jul 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
61
16
0
25 Jul 2024
Structure-aware Domain Knowledge Injection for Large Language Models
Structure-aware Domain Knowledge Injection for Large Language Models
Kai-Chun Liu
Ze Chen
Zhihang Fu
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Yue-bo Wu
Yue Wu
Jieping Ye
55
1
0
23 Jul 2024
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using
  Principal Tensor Singular Values and Vectors
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors
Guanghua He
Wangang Cheng
Hancan Zhu
Gaohang Yu
45
1
0
16 Jul 2024
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from
  Low-Rank Gradients
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients
Ajay Jaiswal
Lu Yin
Zhenyu (Allen) Zhang
Shiwei Liu
Jiawei Zhao
Yuandong Tian
Zhangyang Wang
38
14
0
15 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
Still-Moving: Customized Video Generation without Customized Video Data
Still-Moving: Customized Video Generation without Customized Video Data
Hila Chefer
Shiran Zada
Roni Paiss
Ariel Ephrat
Omer Tov
Michael Rubinstein
Lior Wolf
Tali Dekel
T. Michaeli
Inbar Mosseri
DiffM
VGen
31
20
0
11 Jul 2024
Enhancing Robustness of Vision-Language Models through Orthogonality
  Learning and Cross-Regularization
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization
Jinlong Li
Zequn Jie
Elisa Ricci
Lin Ma
N. Sebe
VLM
39
1
0
11 Jul 2024
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive
  Low-Rank Gradients
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
Zhenyu (Allen) Zhang
Ajay Jaiswal
L. Yin
Shiwei Liu
Jiawei Zhao
Yuandong Tian
Zhangyang Wang
VLM
33
16
0
11 Jul 2024
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective
  Weight-Activation Quantization
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
Xijie Huang
Zechun Liu
Shih-yang Liu
Kwang-Ting Cheng
MQ
43
7
0
10 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
F. Fleuret
MoE
67
6
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
54
25
0
08 Jul 2024
See Further for Parameter Efficient Fine-tuning by Standing on the
  Shoulders of Decomposition
See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition
Chongjie Si
Xiaokang Yang
Wei Shen
45
5
0
07 Jul 2024
SBoRA: Low-Rank Adaptation with Regional Weight Updates
SBoRA: Low-Rank Adaptation with Regional Weight Updates
L. Po
Yuyang Liu
Haoxuan Wu
Tianqi Zhang
W. Yu
Zeyu Jiang
Kun Li
38
1
0
07 Jul 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt
  during Large Language Model Fine-tuning
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou
Mengyu Zhou
Tao Li
Shi Han
Dongmei Zhang
51
6
0
02 Jul 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large
  Language Models
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
Bozhong Tian
Xiaozhuan Liang
Siyuan Cheng
Qingbin Liu
Mengru Wang
Dianbo Sui
Xi Chen
Huajun Chen
Ningyu Zhang
MU
35
6
0
02 Jul 2024
Expressive and Generalizable Low-rank Adaptation for Large Models via
  Slow Cascaded Learning
Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
Siwei Li
Yifan Yang
Yifei Shen
Fangyun Wei
Zongqing Lu
L. Qiu
Yuqing Yang
AI4CE
43
1
0
01 Jul 2024
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech
  Recognition Using LLMs
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
Ahmed Heakl
Youssef Zaghloul
Mennatullah Ali
Rania Hossam
Walid Gomaa
19
2
0
26 Jun 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
43
1
0
25 Jun 2024
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment
  and Knowledge Aggregation
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
Yusheng Liao
Shuyang Jiang
Yanfeng Wang
Yu Wang
52
2
0
25 Jun 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Ashwinee Panda
Berivan Isik
Xiangyu Qi
Sanmi Koyejo
Tsachy Weissman
Prateek Mittal
MoMe
45
13
0
24 Jun 2024
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered
  Adaptation
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
William Fleshman
Benjamin Van Durme
48
0
0
20 Jun 2024
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional
  Adaptation
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
Seyedarmin Azizi
Souvik Kundu
Massoud Pedram
32
7
0
18 Jun 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained
  Language Model for Knowledge Editing and Fine-tuning
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Haoyu Wang
Tianci Liu
Ruirui Li
Monica Cheng
Tuo Zhao
Jing Gao
29
7
0
16 Jun 2024
Mixture-of-Subspaces in Low-Rank Adaptation
Mixture-of-Subspaces in Low-Rank Adaptation
Taiqiang Wu
Jiahao Wang
Zhe Zhao
Ngai Wong
49
22
0
16 Jun 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Mikhail Gorbunov
Nikolay Yudin
Vera Soboleva
Aibek Alanov
Alexey Naumov
Maxim Rakhuba
50
1
0
14 Jun 2024
FouRA: Fourier Low Rank Adaptation
FouRA: Fourier Low Rank Adaptation
Shubhankar Borse
Shreya Kadambi
N. Pandey
Kartikeya Bhardwaj
Viswanath Ganapathy
Sweta Priyadarshi
Risheek Garrepalli
Rafael Esteves
Munawar Hayat
Fatih Porikli
42
6
0
13 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
11
0
12 Jun 2024
Are Large Language Models Actually Good at Text Style Transfer?
Are Large Language Models Actually Good at Text Style Transfer?
Sourabrata Mukherjee
Atul Kr. Ojha
Ondrej Dusek
29
11
0
09 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
45
6
0
07 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
37
0
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
SLTrain: a sparse plus low-rank approach for parameter and memory
  efficient pretraining
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Andi Han
Jiaxiang Li
Wei Huang
Mingyi Hong
Akiko Takeda
Pratik Jawanpuria
Bamdev Mishra
44
10
0
04 Jun 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed
  Tensor Adaptation
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen
Rumen Dangovski
Charlotte Loh
Owen Dugan
Di Luo
Marin Soljacic
MQ
30
8
0
31 May 2024
Visual Perception by Large Language Model's Weights
Visual Perception by Large Language Model's Weights
Feipeng Ma
Hongwei Xue
Guangting Wang
Yizhou Zhou
Fengyun Rao
Shilin Yan
Yueyi Zhang
Siying Wu
Mike Zheng Shou
Xiaoyan Sun
VLM
25
5
0
30 May 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners
TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang
Yusheng Liao
Ya Zhang
Yu Wang
Yanfeng Wang
29
3
0
30 May 2024
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