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

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
ArXivPDFHTML

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

24 / 24 papers shown
Title
Towards Symmetric Low-Rank Adapters
Towards Symmetric Low-Rank Adapters
Tales Panoutsos
Rodrygo L. T. Santos
Flavio Figueiredo
21
0
0
29 Mar 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
52
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
M. Gong
101
1
0
05 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
110
0
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
H. Meng
41
0
0
07 Jan 2025
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
88
0
0
08 Dec 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
Low-Rank Interconnected Adaptation Across Layers
Low-Rank Interconnected Adaptation Across Layers
Yibo Zhong
Yao Zhou
OffRL
MoE
36
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
F. Fleuret
MoE
54
5
0
10 Jul 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
S. Song
Jianlong Wu
Liqiang Nie
Bernard Ghanem
43
6
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-Shen Lin
Weiping Wang
27
6
0
06 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
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
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
47
66
0
03 Apr 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
20
4
0
07 Mar 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Bryan Perozzi
Bahare Fatemi
Dustin Zelle
Anton Tsitsulin
Mehran Kazemi
Rami Al-Rfou
Jonathan J. Halcrow
GNN
24
55
0
08 Feb 2024
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
Lang Yu
Qin Chen
Jie Zhou
Liang He
KELM
11
44
0
19 Dec 2023
Run LoRA Run: Faster and Lighter LoRA Implementations
Run LoRA Run: Faster and Lighter LoRA Implementations
Daria Cherniuk
A. Mikhalev
Ivan V. Oseledets
AI4CE
6
1
0
06 Dec 2023
Matrix Compression via Randomized Low Rank and Low Precision
  Factorization
Matrix Compression via Randomized Low Rank and Low Precision Factorization
R. Saha
Varun Srivastava
Mert Pilanci
13
18
0
17 Oct 2023
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Young-Suk Lee
Ramón Fernández Astudillo
Radu Florian
Tahira Naseem
Salim Roukos
9
4
0
24 Apr 2023
Pro-KD: Progressive Distillation by Following the Footsteps of the
  Teacher
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
Mehdi Rezagholizadeh
A. Jafari
Puneeth Salad
Pranav Sharma
Ali Saheb Pasand
A. Ghodsi
29
17
0
16 Oct 2021
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language
  Models via Knowledge Distillation
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation
Marzieh S. Tahaei
Ella Charlaix
V. Nia
A. Ghodsi
Mehdi Rezagholizadeh
41
22
0
13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
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