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Towards a Unified View of Parameter-Efficient Transfer Learning

Towards a Unified View of Parameter-Efficient Transfer Learning

8 October 2021
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
    AAML
ArXivPDFHTML

Papers citing "Towards a Unified View of Parameter-Efficient Transfer Learning"

50 / 632 papers shown
Title
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
70
7
0
21 Jan 2025
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
Javier Gamazo Tejero
Moritz Schmid
Pablo Márquez-Neila
M. Zinkernagel
Sebastian Wolf
Raphael Sznitman
MedIm
44
0
0
12 Jan 2025
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
Lei Liu
Zhenghao Chen
Zhihao Hu
Dong Xu
36
4
0
08 Jan 2025
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
Jun Liu
Zhenglun Kong
Peiyan Dong
Changdi Yang
Xuan Shen
...
Wei Niu
Wenbin Zhang
Xue Lin
Dong Huang
Yanzhi Wang
ALM
43
2
0
08 Jan 2025
IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
Jie Cao
Dian Jiao
Qiang Yan
Wenqiao Zhang
Siliang Tang
Yueting Zhuang
44
1
0
08 Jan 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
Tanay Agrawal
Mohammed Guermal
Michal Balazia
François Brémond
29
0
0
08 Jan 2025
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Xiaolin Hu
Xiang Cheng
Peiyu Liu
Wei Liu
Jian Luan
Bin Wang
Y. Liu
42
1
0
31 Dec 2024
Learning to Adapt to Low-Resource Paraphrase Generation
Learning to Adapt to Low-Resource Paraphrase Generation
Zhigen Li
Yanmeng Wang
Rizhao Fan
Ye Wang
Jianfeng Li
Shaojun Wang
121
3
0
22 Dec 2024
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
Sepideh Maleki
Jan-Christian Huetter
Kangway V Chuang
Gabriele Scalia
Tommaso Biancalani
Tommaso Biancalani
AI4CE
90
2
0
18 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
186
0
0
18 Dec 2024
When Vision Models Meet Parameter Efficient Look-Aside Adapters Without
  Large-Scale Audio Pretraining
When Vision Models Meet Parameter Efficient Look-Aside Adapters Without Large-Scale Audio Pretraining
Juan Yeo
Jinkwan Jang
Kyubyung Chae
Seongkyu Mun
Taesup Kim
VLM
62
0
0
08 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
94
1
0
08 Dec 2024
Adapter-based Approaches to Knowledge-enhanced Language Models -- A
  Survey
Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey
Alexander Fichtl
Juraj Vladika
Georg Groh
KELM
78
0
0
25 Nov 2024
SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictions
Shuo Zhang
Jian K. Liu
67
0
0
18 Nov 2024
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
Runming Yang
Taiqiang Wu
Jiahao Wang
Pengfei Hu
Ngai Wong
Yujiu Yang
Yujiu Yang
142
0
0
11 Nov 2024
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets
  for Sound Event Localization and Detection
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection
Jinbo Hu
Yin Cao
Ming Wu
Fang Kang
Feiran Yang
Wenwu Wang
Mark D. Plumbley
J. Yang
31
0
0
10 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
AM Flow: Adapters for Temporal Processing in Action Recognition
AM Flow: Adapters for Temporal Processing in Action Recognition
Tanay Agrawal
Abid Ali
A. Dantcheva
François Brémond
39
0
0
04 Nov 2024
Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test
  Generation: An Empirical Study
Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study
André Storhaug
Jingyue Li
ALM
53
1
0
04 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
39
2
0
02 Nov 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo
Yawei Li
Tao Dai
Shu-Tao Xia
Luca Benini
MQ
39
1
0
29 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
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
49
3
0
24 Oct 2024
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language
  Models Fine-tuning
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
Jingfan Zhang
Yi Zhao
Dan Chen
Xing Tian
Huanran Zheng
Wei Zhu
MoE
37
12
0
23 Oct 2024
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language
  Tuning
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
Zhiwei Hao
Jianyuan Guo
Li Shen
Yong Luo
Han Hu
Yonggang Wen
VLM
26
0
0
23 Oct 2024
Towards Real Zero-Shot Camouflaged Object Segmentation without
  Camouflaged Annotations
Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
Cheng Lei
Jie Fan
Xinran Li
Tianzhu Xiang
Ao Li
Ce Zhu
Le Zhang
28
0
0
22 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
25
0
0
21 Oct 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Shwai He
Tao Ge
Guoheng Sun
Bowei Tian
Xiaoyang Wang
Ang Li
MoE
54
1
0
17 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large
  Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
38
3
0
16 Oct 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Luyi Ma
Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
Praveen Kanumala
Kaushiki Nag
Sushant Kumar
Sushant Kumar
Kannan Achan
46
4
0
16 Oct 2024
Layer-wise Importance Matters: Less Memory for Better Performance in
  Parameter-efficient Fine-tuning of Large Language Models
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao
P. Gao
Lichun Li
Yuan Zhao
Xiaofeng Wang
Wei Wang
Jianke Zhu
26
1
0
15 Oct 2024
Scalable Multi-Domain Adaptation of Language Models using Modular
  Experts
Scalable Multi-Domain Adaptation of Language Models using Modular Experts
Peter Schafhalter
Shun Liao
Yanqi Zhou
Chih-Kuan Yeh
Arun Kandoor
James Laudon
MoE
29
1
0
14 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Kun-Peng Ning
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMe
CLL
24
3
0
14 Oct 2024
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column
  Updates
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
Md. Kowsher
Tara Esmaeilbeig
Chun-Nam Yu
Mojtaba Soltanalian
Niloofar Yousefi
27
0
0
14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
31
1
0
13 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
Towards Efficient Visual-Language Alignment of the Q-Former for Visual
  Reasoning Tasks
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
Sungkyung Kim
Adam Lee
Junyoung Park
Andrew Chung
Jusang Oh
Jay-Yoon Lee
26
3
0
12 Oct 2024
Zero-shot Commonsense Reasoning over Machine Imagination
Zero-shot Commonsense Reasoning over Machine Imagination
Hyuntae Park
Yeachan Kim
Jun-Hyung Park
S. Lee
ReLM
VLM
LRM
24
1
0
12 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
43
2
0
12 Oct 2024
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object
  Detection
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
Hao Li
Rui Zhang
Hantao Yao
X. Zhang
Yifan Hao
Xinkai Song
Xiaqing Li
Yongwei Zhao
Ling Li
Yunji Chen
ObjD
VLM
31
3
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic
  Knowledge Tuning
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha
Asif Mahmud
Md. Shohanur Islam Sobuj
Prakash Bhat
Md. Kowsher
Niloofar Yousefi
O. Garibay
30
4
0
11 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
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical
  Framework for Low-Rank Adaptation
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation
Grigory Malinovsky
Umberto Michieli
Hasan Hammoud
Taha Ceritli
Hayder Elesedy
Mete Ozay
Peter Richtárik
AI4CE
32
2
0
10 Oct 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han
Liang Du
Hongwei Du
Xiangguo Zhou
Yiwen Wu
Weibo Zheng
Donghong Han
CLL
MoMe
MoE
38
2
0
10 Oct 2024
QuAILoRA: Quantization-Aware Initialization for LoRA
QuAILoRA: Quantization-Aware Initialization for LoRA
Neal Lawton
Aishwarya Padmakumar
Judith Gaspers
Jack FitzGerald
Anoop Kumar
Greg Ver Steeg
Aram Galstyan
MQ
31
0
0
09 Oct 2024
Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform
Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Anuj Pathania
31
1
0
09 Oct 2024
Efficient Few-shot Learning for Multi-label Classification of Scientific
  Documents with Many Classes
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
Tim Schopf
Alexander Blatzheim
Nektarios Machner
Florian Matthes
VLM
23
1
0
08 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
On Unsupervised Prompt Learning for Classification with Black-box
  Language Models
On Unsupervised Prompt Learning for Classification with Black-box Language Models
Zhen-Yu Zhang
Jiandong Zhang
Huaxiu Yao
Gang Niu
Masashi Sugiyama
21
2
0
04 Oct 2024
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