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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 / 633 papers shown
Title
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content
  Moderation of Large Language Models
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
Hayder Elesedy
Pedro M. Esperança
Silviu Vlad Oprea
Mete Ozay
KELM
36
2
0
03 Jul 2024
Soft Language Prompts for Language Transfer
Soft Language Prompts for Language Transfer
Ivan Vykopal
Simon Ostermann
Marian Simko
AAML
42
1
0
02 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
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for
  Sparse Architectural Large Language Models
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Zihan Wang
Deli Chen
Damai Dai
Runxin Xu
Zhuoshu Li
Y. Wu
MoE
ALM
40
2
0
02 Jul 2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter
  Efficient Fine-tuning
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo Song
Hao Zhao
Soumajit Majumder
Tao Lin
30
3
0
01 Jul 2024
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group
  Frames
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
R. Wu
Ruihan Guo
Rui Wang
Shitong Luo
Yue Xu
Jiahan Li
Jianzhu Ma
Qiang Liu
Yunan Luo
Jian Peng
39
1
0
01 Jul 2024
Dataset Size Recovery from LoRA Weights
Dataset Size Recovery from LoRA Weights
Mohammad Salama
Jonathan Kahana
Eliahu Horwitz
Yedid Hoshen
42
5
0
27 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
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and
  Optimizing the Right Coordinate Blocks
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
A. Ramesh
Vignesh Ganapathiraman
I. Laradji
Mark W. Schmidt
38
1
0
25 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
43
3
0
21 Jun 2024
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal
  Quantization levels and Rank Values trough Differentiable Bayesian Gates
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
Cristian Meo
Ksenia Sycheva
Anirudh Goyal
Justin Dauwels
MQ
24
4
0
18 Jun 2024
From Insights to Actions: The Impact of Interpretability and Analysis
  Research on NLP
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Marius Mosbach
Vagrant Gautam
Tomás Vergara-Browne
Dietrich Klakow
Mor Geva
AI4CE
38
6
0
18 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
21
0
16 Jun 2024
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Yurun Song
Junchen Zhao
Ian G. Harris
S. Jyothi
32
3
0
16 Jun 2024
Personalized Pieces: Efficient Personalized Large Language Models
  through Collaborative Efforts
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
Zhaoxuan Tan
Zheyuan Liu
Meng Jiang
36
20
0
15 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
47
5
0
13 Jun 2024
Dual-Pipeline with Low-Rank Adaptation for New Language Integration in
  Multilingual ASR
Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR
Yerbolat Khassanov
Zhipeng Chen
Tianfeng Chen
Tze Yuang Chong
Wei Li
Jun Zhang
Lu Lu
Yuxuan Wang
AI4CE
18
0
0
12 Jun 2024
SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker
  Recognition
SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition
Tianhao Wang
Lantian Li
D. Wang
35
0
0
12 Jun 2024
Adapters Strike Back
Adapters Strike Back
Jan-Martin O. Steitz
Stefan Roth
27
5
0
10 Jun 2024
Multi-Prompting Decoder Helps Better Language Understanding
Multi-Prompting Decoder Helps Better Language Understanding
Zifeng Cheng
Zhaoling Chen
Zhiwei Jiang
Yafeng Yin
Shiping Ge
Yuliang Liu
Qing Gu
AI4CE
50
1
0
10 Jun 2024
Learning Fine-Grained Controllability on Speech Generation via Efficient
  Fine-Tuning
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
Chung-Ming Chien
Andros Tjandra
Apoorv Vyas
Matt Le
Bowen Shi
Wei-Ning Hsu
32
0
0
10 Jun 2024
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal
  Large Language Models
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
Xiongtao Zhou
Jie He
Yuhua Ke
Guangyao Zhu
Víctor Gutiérrez-Basulto
Jeff Z. Pan
40
11
0
07 Jun 2024
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
Jitai Hao
Weiwei Sun
Xin Xin
Qi Meng
Zhumin Chen
Pengjie Ren
Zhaochun Ren
MoE
42
2
0
07 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
Repurposing Language Models into Embedding Models: Finding the
  Compute-Optimal Recipe
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Alicja Ziarko
Albert Q. Jiang
Bartosz Piotrowski
Wenda Li
M. Jamnik
Piotr Miłoś
34
0
0
06 Jun 2024
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for
  Vision
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
Minglei Li
Peng Ye
Yongqi Huang
Lin Zhang
Tao Chen
Tong He
Jiayuan Fan
Wanli Ouyang
MoE
34
4
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
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language
  Models
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
Tao Fan
Guoqiang Ma
Yan Kang
Hanlin Gu
Yuanfeng Song
Lixin Fan
Kai Chen
Qiang Yang
26
9
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
21
5
0
03 Jun 2024
Few-Shot Classification of Interactive Activities of Daily Living
  (InteractADL)
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
Zane Durante
Robathan Harries
Edward Vendrow
Zelun Luo
Yuta Kyuragi
Kazuki Kozuka
Fei-Fei Li
Ehsan Adeli
VLM
25
0
0
03 Jun 2024
LoFiT: Localized Fine-tuning on LLM Representations
LoFiT: Localized Fine-tuning on LLM Representations
Fangcong Yin
Xi Ye
Greg Durrett
38
13
0
03 Jun 2024
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation
  Structure Parsing
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing
Jiangming Liu
37
1
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
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter
Meng Cao
Haoran Tang
Jinfa Huang
Peng Jin
Can Zhang
Ruyang Liu
Long Chen
Xiaodan Liang
Li-ming Yuan
Ge Li
101
11
0
29 May 2024
Low-Rank Few-Shot Adaptation of Vision-Language Models
Low-Rank Few-Shot Adaptation of Vision-Language Models
Maxime Zanella
Ismail Ben Ayed
OffRL
VLM
56
26
0
28 May 2024
OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for
  Memory-Efficient LLM Fine-tuning
OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning
Pengxiang Li
Lu Yin
Xiaowei Gao
Shiwei Liu
31
7
0
28 May 2024
Semantic are Beacons: A Semantic Perspective for Unveiling
  Parameter-Efficient Fine-Tuning in Knowledge Learning
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning
Renzhi Wang
Piji Li
37
4
0
28 May 2024
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
Wei-wei Zhu
Aaron Xuxiang Tian
Congrui Yin
Yuan Ni
Xiaoling Wang
Guotong Xie
48
0
0
28 May 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank
  Distribution
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
Yulong Mao
Kaiyu Huang
Changhao Guan
Ganglin Bao
Fengran Mo
Jinan Xu
29
10
0
27 May 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK
  Perspective
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari
Issei Sato
30
4
0
27 May 2024
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
Jinguo Cheng
Chunwei Yang
Wanlin Cai
Yuxuan Liang
Yuankai Wu
AI4TS
42
1
0
24 May 2024
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank
  Prompt Adaptation
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
Abhinav C. P. Jain
Swarat Chaudhuri
Thomas W. Reps
Christopher M. Jermaine
22
1
0
24 May 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
Yang Li
Shaobo Han
Shihao Ji
MoE
27
11
0
24 May 2024
CLIP model is an Efficient Online Lifelong Learner
CLIP model is an Efficient Online Lifelong Learner
Leyuan Wang
Liuyu Xiang
Yujie Wei
Yunlong Wang
Zhaofeng He
VLM
CLL
32
3
0
24 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Royson Lee
Javier Fernandez-Marques
S. Hu
Da Li
Stefanos Laskaridis
L. Dudziak
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
36
3
0
23 May 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models
  Using Synthetic Data
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
Haoran Li
Xinyuan Zhao
Dadi Guo
Hanlin Gu
Ziqian Zeng
Yuxing Han
Yangqiu Song
Lixin Fan
Qiang Yang
23
1
0
23 May 2024
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
Chongjie Si
Xuehui Wang
Xue Yang
Zhengqin Xu
Qingyun Li
Jifeng Dai
Yu Qiao
Xiaokang Yang
Wei Shen
31
8
0
23 May 2024
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt
  Tuning for Diverse Downstream Tasks
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
Yichi Zhang
Binbin Hu
Zhuo Chen
Lingbing Guo
Ziqi Liu
Qing Cui
Lei Liang
Hua-zeng Chen
Wen Zhang
CLL
35
1
0
21 May 2024
Layout Agnostic Human Activity Recognition in Smart Homes through
  Textual Descriptions Of Sensor Triggers (TDOST)
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral
Sourish Gunesh Dhekane
S. Hiremath
H. Haresamudram
Thomas Ploetz
43
3
0
20 May 2024
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan
Enneng Yang
Yuting Liu
Guibing Guo
Linying Jiang
Jianzhe Zhao
Xingwei Wang
VLM
AAML
38
1
0
19 May 2024
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