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LoRA+: Efficient Low Rank Adaptation of Large Models

LoRA+: Efficient Low Rank Adaptation of Large Models

19 February 2024
Soufiane Hayou
Nikhil Ghosh
Bin Yu
    AI4CE
ArXivPDFHTML

Papers citing "LoRA+: Efficient Low Rank Adaptation of Large Models"

50 / 115 papers shown
Title
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced
  Multi-Task Learning
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
Xujia Wang
Haiyan Zhao
Shuo Wang
Hanqing Wang
Zhiyuan Liu
MoMe
MoE
37
0
0
30 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
27
3
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
31
1
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
49
3
0
24 Oct 2024
Learning Mathematical Rules with Large Language Models
Learning Mathematical Rules with Large Language Models
Antoine Gorceix
Bastien Le Chenadec
Ahmad Rammal
N. Vadori
Manuela Veloso
23
1
0
22 Oct 2024
Can Large Language Models Act as Ensembler for Multi-GNNs?
Can Large Language Models Act as Ensembler for Multi-GNNs?
Hanqi Duan
Yao Cheng
Jianxiang Yu
Xiang Li
AI4CE
35
0
0
22 Oct 2024
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
Ali Anaissi
Ali Braytee
Junaid Akram
LM&MA
AI4MH
33
2
0
21 Oct 2024
Learning to Route LLMs with Confidence Tokens
Learning to Route LLMs with Confidence Tokens
Yu-Neng Chuang
Helen Zhou
Prathusha Kameswara Sarma
Parikshit Gopalan
John Boccio
Sara Bolouki
Xia Hu
35
7
0
17 Oct 2024
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
Hai Huang
Randall Balestriero
35
0
0
13 Oct 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
Yaming Yang
Dilxat Muhtar
Yelong Shen
Yuefeng Zhan
Jianfeng Liu
...
Denvy Deng
Feng Sun
Qi Zhang
Weizhu Chen
Yunhai Tong
MoE
MoMe
46
2
0
12 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
31
4
0
11 Oct 2024
One Initialization to Rule them All: Fine-tuning via Explained Variance
  Adaptation
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
Fabian Paischer
Lukas Hauzenberger
Thomas Schmied
Benedikt Alkin
Marc Peter Deisenroth
Sepp Hochreiter
37
4
0
09 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces
  for Large Finetuned Models
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo Putterman
Derek Lim
Yoav Gelberg
Stefanie Jegelka
Haggai Maron
AI4CE
43
5
0
05 Oct 2024
Hyperbolic Fine-tuning for Large Language Models
Hyperbolic Fine-tuning for Large Language Models
Menglin Yang
Aosong Feng
Bo Xiong
Jihong Liu
Irwin King
Rex Ying
23
1
0
05 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
36
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
33
1
0
04 Oct 2024
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
Bin Wang
Yong-Jin Liu
48
0
0
03 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
44
10
0
02 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
31
1
0
29 Sep 2024
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape
Tao Li
Zhengbao He
Yujun Li
Yasheng Wang
Lifeng Shang
X. Huang
53
0
0
22 Sep 2024
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Bojian Li
Bo Liu
Jinghua Yue
F. Zhou
Fugen Zhou
MedIm
MDE
53
2
0
12 Sep 2024
Fast Forwarding Low-Rank Training
Fast Forwarding Low-Rank Training
Adir Rahamim
Naomi Saphra
Sara Kangaslahti
Yonatan Belinkov
34
0
0
06 Sep 2024
EELE: Exploring Efficient and Extensible LoRA Integration in Emotional
  Text-to-Speech
EELE: Exploring Efficient and Extensible LoRA Integration in Emotional Text-to-Speech
Xin Qi
Ruibo Fu
Zhengqi Wen
Jianhua Tao
Shuchen Shi
...
Yuankun Xie
Yukun Liu
Guanjun Li
Xuefei Liu
Yongwei Li
43
1
0
20 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
Advancing Multimodal Large Language Models with Quantization-Aware Scale
  Learning for Efficient Adaptation
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
Jingjing Xie
Yuxin Zhang
Mingbao Lin
Liujuan Cao
Rongrong Ji
MQ
41
3
0
07 Aug 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
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
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
ALM
MQ
35
1
0
24 Jul 2024
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters
Kartikeya Bhardwaj
N. Pandey
Sweta Priyadarshi
Viswanath Ganapathy
Rafael Esteves
...
Paul N. Whatmough
Risheek Garrepalli
M. V. Baalen
Harris Teague
Markus Nagel
MoMe
33
0
0
22 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
37
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
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
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
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALM
AI4CE
26
30
0
06 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
Octo-planner: On-device Language Model for Planner-Action Agents
Octo-planner: On-device Language Model for Planner-Action Agents
Wei Chen
Zhiyuan Li
Zhen Guo
Yikang Shen
LM&Ro
LLMAG
31
4
0
26 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
Geneverse: A collection of Open-source Multimodal Large Language Models
  for Genomic and Proteomic Research
Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
Tianyu Liu
Yijia Xiao
Xiao Luo
Hua Xu
W. Zheng
Hongyu Zhao
42
3
0
21 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
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
Vertical LoRA: Dense Expectation-Maximization Interpretation of
  Transformers
Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
Zhuolin Fu
42
0
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
13
0
12 Jun 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu
Andres Potapczynski
Marc Finzi
Micah Goldblum
Andrew Gordon Wilson
40
11
0
10 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
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
Kerim Büyükakyüz
AI4CE
23
5
0
03 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
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