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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
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
167
3
0
11 Feb 2025
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Andy D. Pimentel
Anuj Pathania
126
1
0
08 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
205
1
0
31 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
243
13
0
28 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
247
12
0
23 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
69
0
0
12 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
136
1
0
08 Jan 2025
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
174
4
0
22 Dec 2024
Parameter-efficient Fine-tuning for improved Convolutional Baseline for
  Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset
Bijay Adhikari
Pratibha Kulung
Jakesh Bohaju
Laxmi Kanta Poudel
Confidence Raymond
Dong Zhang
U. Anazodo
Bishesh Khanal
M. Shakya
121
1
0
18 Dec 2024
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using
  Code Property Graphs
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
Imam Nur Bani Yusuf
Lingxiao Jiang
140
1
0
18 Dec 2024
FineGates: LLMs Finetuning with Compression using Stochastic Gates
FineGates: LLMs Finetuning with Compression using Stochastic Gates
Jonathan Svirsky
Yehonathan Refael
Ofir Lindenbaum
130
1
0
17 Dec 2024
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame
  Organizer
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
Delong Liu
Zhaohui Hou
Mingjie Zhan
Shihao Han
Zhicheng Zhao
Fei Su
VGen
118
0
0
12 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
205
2
0
08 Dec 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Kaustubh Ponkshe
Raghav Singhal
Eduard A. Gorbunov
Alexey Tumanov
Samuel Horváth
Praneeth Vepakomma
284
7
0
29 Nov 2024
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through
  Frequency-Based Adaptation
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
S. Ly
Hien Nguyen
131
1
0
28 Nov 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
138
1
0
25 Nov 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDaALM
135
2
0
14 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box
  Language Models
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun
Hanpeng Wu
Xi Sheryl Zhang
79
0
0
11 Nov 2024
Robust and Efficient Fine-tuning of LLMs with Bayesian
  Reparameterization of Low-Rank Adaptation
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Ayan Sengupta
Vaibhav Seth
Arinjay Pathak
Natraj Raman
Sriram Gopalakrishnan
Tanmoy Chakraborty
BDL
85
2
0
07 Nov 2024
Expanding Sparse Tuning for Low Memory Usage
Expanding Sparse Tuning for Low Memory Usage
Shufan Shen
Junshu Sun
Xiangyang Ji
Qingming Huang
Shuhui Wang
109
0
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
116
2
0
02 Nov 2024
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive
  Channel Attention
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention
Lianjun Liu
70
0
0
01 Nov 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
38
2
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
197
7
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
134
17
0
23 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
89
2
0
22 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
74
0
0
22 Oct 2024
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Minhua Lin
Zhe Chen
Yanchi Liu
Xujiang Zhao
Zongyu Wu
Junxiang Wang
Xiang Zhang
Suhang Wang
Haifeng Chen
AI4TS
127
11
0
22 Oct 2024
Conflict-Aware Adversarial Training
Conflict-Aware Adversarial Training
Zhiyu Xue
Haohan Wang
Yao Qin
Ramtin Pedarsani
AAML
70
0
0
21 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
84
1
0
21 Oct 2024
CCSBench: Evaluating Compositional Controllability in LLMs for
  Scientific Document Summarization
CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
Yixi Ding
Jiaying Wu
Tongyao Zhu
Yanxia Qin
Qian Liu
Min-Yen Kan
CoGe
41
0
0
16 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
MoEMoMe
151
4
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
Haoyang Li
Rui Zhang
Hantao Yao
X. Zhang
Yifan Hao
Xinkai Song
Xiaqing Li
Yongwei Zhao
Ling Li
Yunji Chen
ObjDVLM
116
5
0
11 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
CLLMoMeMoE
94
4
0
10 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
74
1
0
09 Oct 2024
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language
  Models for Healthcare
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
Pardis Sadat Zahraei
Zahra Shakeri
LM&MA
61
0
0
09 Oct 2024
Glider: Global and Local Instruction-Driven Expert Router
Glider: Global and Local Instruction-Driven Expert Router
Pingzhi Li
Prateek Yadav
Jaehong Yoon
Jie Peng
Yi-Lin Sung
Joey Tianyi Zhou
Tianlong Chen
MoMeMoE
96
2
0
09 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
187
0
0
05 Oct 2024
Function-Guided Conditional Generation Using Protein Language Models with Adapters
Function-Guided Conditional Generation Using Protein Language Models with Adapters
Jason Yang
Aadyot Bhatnagar
Jeffrey A. Ruffolo
Ali Madani
82
5
0
04 Oct 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
Tianrun Chen
Zhentao Tan
Tao Gong
Yue Wu
Qi Chu
Bin Liu
Jieping Ye
Nenghai Yu
KELM
85
4
0
03 Oct 2024
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf
Sondre Wold
Yun Xue
232
1
0
02 Oct 2024
Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient
  Fine-Tuning
Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient Fine-Tuning
Yibo Zhong
Yao Zhou
44
0
0
29 Sep 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance
  Regularization
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Shahed Masoudian
Markus Frohmann
Navid Rekabsaz
Markus Schedl
82
2
0
29 Sep 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
Dongyue Li
Ziniu Zhang
Lu Wang
Hongyang R. Zhang
105
1
0
28 Sep 2024
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent
  Representation MOdification
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
Tianfang Xie
Tianjing Li
Wei Zhu
Wei Han
Yi Zhao
87
5
0
26 Sep 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Zheda Mai
Ping Zhang
Cheng-Hao Tu
Hong-You Chen
Li Zhang
Wei-Lun Chao
67
1
0
24 Sep 2024
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard
  Updated Transformation
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
Geyuan Zhang
Xiaofei Zhou
Chuheng Chen
38
0
0
20 Sep 2024
CLIP Adaptation by Intra-modal Overlap Reduction
CLIP Adaptation by Intra-modal Overlap Reduction
A. Kravets
V. Namboodiri
VLM
64
0
0
17 Sep 2024
SAM-OCTA2: Layer Sequence OCTA Segmentation with Fine-tuned Segment
  Anything Model 2
SAM-OCTA2: Layer Sequence OCTA Segmentation with Fine-tuned Segment Anything Model 2
Xinrun Chen
Chengliang Wang
Haojian Ning
Mengzhan Zhang
Mei Shen
Shiying Li
61
2
0
14 Sep 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous
  Low-Rank Adaptations
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang
Zheyu Shen
Yexiao He
Guoheng Sun
Hongyi Wang
Lingjuan Lyu
Ang Li
93
49
0
09 Sep 2024
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