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AdapterFusion: Non-Destructive Task Composition for Transfer Learning
v1v2v3 (latest)

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

1 May 2020
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
    CLLMoMe
ArXiv (abs)PDFHTML

Papers citing "AdapterFusion: Non-Destructive Task Composition for Transfer Learning"

50 / 553 papers shown
Title
An overview of domain-specific foundation model: key technologies, applications and challenges
An overview of domain-specific foundation model: key technologies, applications and challenges
Haolong Chen
Hanzhi Chen
Zijian Zhao
Kaifeng Han
Guangxu Zhu
Yichen Zhao
Ying Du
Wei Xu
Qingjiang Shi
ALMVLM
134
5
0
06 Sep 2024
Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning
Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning
Chongjie Si
Zhiyi Shi
Shifan Zhang
Xiaokang Yang
Hanspeter Pfister
Wei Shen
ALM
40
4
0
02 Sep 2024
Adapting Segment Anything Model to Multi-modal Salient Object Detection
  with Semantic Feature Fusion Guidance
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
Kunpeng Wang
Danying Lin
Chenglong Li
Zhengzheng Tu
Bin Luo
95
0
0
27 Aug 2024
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Aradhye Agarwal
Suhas Kamasetty Ramesh
Ayan Sengupta
Tanmoy Chakraborty
81
1
0
26 Aug 2024
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in
  Visual Question Answering
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering
Yuliang Cai
Mohammad Rostami
CLLVLMMLLM
128
4
0
21 Aug 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion
  for Efficient Inference Intervention in Large Language Model
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
Chenhan Yuan
Fei Huang
Ru Peng
Keming Lu
Bowen Yu
Chang Zhou
Jingren Zhou
KELM
83
0
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
100
8
0
18 Aug 2024
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
Meghdad Dehghan
Jie JW Wu
Fatemeh H. Fard
Ali Ouni
MoMe
99
2
0
18 Aug 2024
A Survey on Model MoErging: Recycling and Routing Among Specialized
  Experts for Collaborative Learning
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
Prateek Yadav
Colin Raffel
Mohammed Muqeeth
Lucas Caccia
Haokun Liu
Tianlong Chen
Joey Tianyi Zhou
Leshem Choshen
Alessandro Sordoni
MoMe
120
25
0
13 Aug 2024
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
CROME: Cross-Modal Adapters for Efficient Multimodal LLM
Sayna Ebrahimi
Sercan O. Arik
Tejas Nama
Tomas Pfister
81
1
0
13 Aug 2024
Large Investment Model
Large Investment Model
Jian Guo
H. Shum
AIFin
135
0
0
12 Aug 2024
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Sungyeon Kim
Boseung Jeong
Donghyun Kim
Suha Kwak
VLM
88
3
0
11 Aug 2024
Decorrelating Structure via Adapters Makes Ensemble Learning Practical
  for Semi-supervised Learning
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
99
0
0
08 Aug 2024
Contribution-based Low-Rank Adaptation with Pre-training Model for Real
  Image Restoration
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
Donwon Park
Leixian Shen
Se Young Chun
104
2
0
02 Aug 2024
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with
  Accelerated LLMs
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs
Afia Anjum
Maksim E. Eren
V. Setlur
Boian Alexandrov
Manish Bhattarai
71
2
0
02 Aug 2024
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer
Wei Chen
Long Chen
Ivan Srba
Yu Wu
MoMeVLM
87
4
0
02 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Bartłomiej Twardowski
Joost van de Weijer
Changsheng Xu
CLL
104
1
0
02 Aug 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion
  Forecasting Models
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang
Kaouther Messaoud
Yuejiang Liu
Juergen Gall
Alexandre Alahi
74
1
0
28 Jul 2024
AI Act for the Working Programmer
AI Act for the Working Programmer
Holger Hermanns
Anne Lauber-Rönsberg
Philip Meinel
Sarah Sterz
Hanwei Zhang
80
1
0
23 Jul 2024
Exploring the Effectiveness and Consistency of Task Selection in
  Intermediate-Task Transfer Learning
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
Pin-Jie Lin
Miaoran Zhang
Marius Mosbach
Dietrich Klakow
47
0
0
23 Jul 2024
Fixed and Adaptive Simultaneous Machine Translation Strategies Using
  Adapters
Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters
Abderrahmane Issam
Yusuf Can Semerci
Jan Scholtes
Gerasimos Spanakis
73
0
0
18 Jul 2024
FREST: Feature RESToration for Semantic Segmentation under Multiple
  Adverse Conditions
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
Sohyun Lee
Nam-Won Kim
Sungyeon Kim
Suha Kwak
152
2
0
18 Jul 2024
Image Compression for Machine and Human Vision with Spatial-Frequency
  Adaptation
Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation
Han Li
Shaohui Li
Shuangrui Ding
Wenrui Dai
Maida Cao
Chenglin Li
Junni Zou
Hongkai Xiong
VLM
108
8
0
13 Jul 2024
Low-Rank Interconnected Adaptation across Layers
Low-Rank Interconnected Adaptation across Layers
Yibo Zhong
Jinman Zhao
Yao Zhou
OffRLMoE
116
1
0
13 Jul 2024
Foundation Model Engineering: Engineering Foundation Models Just as
  Engineering Software
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
Dezhi Ran
Mengzhou Wu
Wei Yang
Tao Xie
AI4CE
84
2
0
11 Jul 2024
SHERL: Synthesizing High Accuracy and Efficient Memory for
  Resource-Limited Transfer Learning
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
Haiwen Diao
Bo Wan
Xu Jia
Yunzhi Zhuge
Ying Zhang
Huchuan Lu
Long Chen
VLM
100
4
0
10 Jul 2024
Parameter Efficient Fine Tuning for Multi-scanner PET to PET
  Reconstruction
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
Yumin Kim
Gayoon Choi
Seong Jae Hwang
72
0
0
10 Jul 2024
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer:
  A Disentangled Approach
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang
Jiawang Bai
Zhihe Lu
Dongze Lian
Genping Wang
Xinchao Wang
Shu-Tao Xia
97
5
0
09 Jul 2024
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
Rui Qian
Shuangrui Ding
Dahua Lin
OCL
101
1
0
09 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
87
9
0
07 Jul 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALMAI4CE
115
47
0
06 Jul 2024
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method
  for Pre-trained Language Models
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen
Qiang Fu
Ge Fan
Lun Du
Jian-Guang Lou
Shi Han
Dongmei Zhang
Zhixu Li
Yanghua Xiao
MoE
81
18
0
04 Jul 2024
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for
  Efficient Stereo Image Super-resolution
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution
Yuanbo Zhou
Yuyang Xue
Wei Deng
Xinlin Zhang
Qinquan Gao
Tong Tong
93
0
0
04 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
MoEALM
79
3
0
02 Jul 2024
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into
  Multi-Task Transformers for Sequence Labelling
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Jesús-Germán Ortiz-Barajas
Helena Gómez-Adorno
Thamar Solorio
60
2
0
01 Jul 2024
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge
  Graphs via Adapters
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
Daniil Gurgurov
Mareike Hartmann
Simon Ostermann
86
10
0
01 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
68
4
0
01 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large
  Language Models
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Xuanjie Hu
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Ang Li
Praneeth Vepakomma
Yue Gao
96
37
0
01 Jul 2024
Fairness and Bias in Multimodal AI: A Survey
Fairness and Bias in Multimodal AI: A Survey
Tosin Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
121
10
0
27 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
107
3
0
25 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
78
5
0
18 Jun 2024
Disentangling Dialect from Social Bias via Multitask Learning to Improve
  Fairness
Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
Maximilian Spliethover
Sai Nikhil Menon
Henning Wachsmuth
68
4
0
14 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
93
5
0
13 Jun 2024
Vertical LoRA: Dense Expectation-Maximization Interpretation of
  Transformers
Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
Zhuolin Fu
71
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
122
28
0
13 Jun 2024
Adapters Strike Back
Adapters Strike Back
Jan-Martin O. Steitz
Stefan Roth
82
7
0
10 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
Fajie Yuan
Zhaochun Ren
MoE
81
5
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
118
14
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07 Jun 2024
Hypernetworks for Personalizing ASR to Atypical Speech
Hypernetworks for Personalizing ASR to Atypical Speech
Max Müller-Eberstein
Dianna Yee
Karren D. Yang
G. Mantena
Colin S. Lea
98
2
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
120
5
0
05 Jun 2024
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