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AdapterFusion: Non-Destructive Task Composition for Transfer Learning

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

1 May 2020
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
    CLL
    MoMe
ArXivPDFHTML

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

50 / 531 papers shown
Title
Language and Task Arithmetic with Parameter-Efficient Layers for
  Zero-Shot Summarization
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
Alexandra Chronopoulou
Jonas Pfeiffer
Joshua Maynez
Xinyi Wang
Sebastian Ruder
Priyanka Agrawal
MoMe
28
16
0
15 Nov 2023
AdapterShadow: Adapting Segment Anything Model for Shadow Detection
AdapterShadow: Adapting Segment Anything Model for Shadow Detection
Lei Jie
Hui Zhang
VLM
34
3
0
15 Nov 2023
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language
  Models
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
HyunJin Kim
Young Jin Kim
Jinyeong Bak
KELM
24
1
0
14 Nov 2023
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
Chenxi Whitehouse
Fantine Huot
Jasmijn Bastings
Mostafa Dehghani
Chu-Cheng Lin
Mirella Lapata
27
6
0
14 Nov 2023
On the Robustness of Question Rewriting Systems to Questions of Varying
  Hardness
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
Hai Ye
Hwee Tou Ng
Wenjuan Han
40
3
0
12 Nov 2023
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking
Ruolin Su
Ting-Wei Wu
B. Juang
28
1
0
10 Nov 2023
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Weiyang Liu
Zeju Qiu
Yao Feng
Yuliang Xiu
Yuxuan Xue
...
Songyou Peng
Yandong Wen
Michael J. Black
Adrian Weller
Bernhard Schölkopf
50
58
0
10 Nov 2023
Mini but Mighty: Finetuning ViTs with Mini Adapters
Mini but Mighty: Finetuning ViTs with Mini Adapters
Imad Eddine Marouf
Enzo Tartaglione
Stéphane Lathuilière
41
5
0
07 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
32
16
0
07 Nov 2023
Improving Prompt Tuning with Learned Prompting Layers
Improving Prompt Tuning with Learned Prompting Layers
Wei Zhu
Ming Tan
VLM
33
1
0
31 Oct 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner
  from Backbone
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
Zeyinzi Jiang
Chaojie Mao
Ziyuan Huang
Ao Ma
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
40
15
0
30 Oct 2023
Adapter Pruning using Tropical Characterization
Adapter Pruning using Tropical Characterization
Rishabh Bhardwaj
Tushar Vaidya
Soujanya Poria
13
0
0
30 Oct 2023
Unified Representation for Non-compositional and Compositional
  Expressions
Unified Representation for Non-compositional and Compositional Expressions
Ziheng Zeng
Suma Bhat
30
3
0
29 Oct 2023
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source
  Ensembling of Language Adapters
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters
Vipul Rathore
Rajdeep Dhingra
Parag Singla
Mausam
32
6
0
25 Oct 2023
Improving Language Models Meaning Understanding and Consistency by
  Learning Conceptual Roles from Dictionary
Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
Myeongjun Jang
Thomas Lukasiewicz
30
4
0
24 Oct 2023
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning
  for Versatile Multimodal Modeling
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling
Yaqing Wang
Jialin Wu
T. Dabral
Jiageng Zhang
Geoff Brown
...
Frederick Liu
Yi Liang
Bo Pang
Michael Bendersky
Radu Soricut
VLM
25
14
0
18 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Hao Zhao
Jie Fu
Zhaofeng He
105
6
0
18 Oct 2023
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and
  Non-Destructive Multi-task Speech Recognition
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition
Hillary Ngai
Rohan Agrawal
Neeraj Gaur
Ronny Huang
Parisa Haghani
P. M. Mengibar
MoMe
46
0
0
17 Oct 2023
VeRA: Vector-based Random Matrix Adaptation
VeRA: Vector-based Random Matrix Adaptation
D. J. Kopiczko
Tijmen Blankevoort
Yuki Markus Asano
VLM
27
135
0
17 Oct 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
Decomposed Prompt Tuning via Low-Rank Reparameterization
Yao Xiao
Lu Xu
Jiaxi Li
Wei Lu
Xiaoli Li
VLM
25
6
0
16 Oct 2023
Merging Experts into One: Improving Computational Efficiency of Mixture
  of Experts
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Shwai He
Run-Ze Fan
Liang Ding
Li Shen
Dinesh Manocha
Dacheng Tao
MoE
MoMe
46
14
0
15 Oct 2023
BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models
  for Sentiment Analysis of Bangla Social Media Posts
BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts
Saumajit Saha
Albert Nanda
29
0
0
13 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
34
2
0
13 Oct 2023
TAIL: Task-specific Adapters for Imitation Learning with Large
  Pretrained Models
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu
Jesse Zhang
Kavosh Asadi
Yao Liu
Ding Zhao
Shoham Sabach
Rasool Fakoor
ALM
AI4CE
44
26
0
09 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random Basis
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
40
12
0
04 Oct 2023
Prompting-based Temporal Domain Generalization
Prompting-based Temporal Domain Generalization
Sepidehsadat Hosseini
Mengyao Zhai
Hossein Hajimirsadegh
Frederick Tung
AI4TS
AI4CE
OOD
25
0
0
03 Oct 2023
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to
  Video
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
Xinhao Li
Yuhan Zhu
Limin Wang
VLM
37
8
0
02 Oct 2023
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by
  Learning to Scale
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
Markus Frohmann
Carolin Holtermann
Shahed Masoudian
Anne Lauscher
Navid Rekabsaz
47
2
0
02 Oct 2023
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large
  Language Models for Dynamic Inference
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
Parsa Kavehzadeh
Mojtaba Valipour
Marzieh S. Tahaei
Ali Ghodsi
Boxing Chen
Mehdi Rezagholizadeh
35
6
0
16 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual
  Categorization in Few-Shot Conditions
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
Tianxu Wu
Shuo Ye
Shuhuang Chen
Qinmu Peng
Xinge You
DiffM
40
3
0
15 Sep 2023
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video
  Transfer Learning
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
Zhiwu Qing
Shiwei Zhang
Ziyuan Huang
Yingya Zhang
Changxin Gao
Deli Zhao
Nong Sang
37
18
0
14 Sep 2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient
  Fine-tuning
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
Sanghyeon Kim
Hyunmo Yang
Younghyun Kim
Youngjoon Hong
Eunbyung Park
AI4CE
32
16
0
13 Sep 2023
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
Ting Hu
Christoph Meinel
Haojin Yang
16
0
0
13 Sep 2023
Backdoor Attacks and Countermeasures in Natural Language Processing
  Models: A Comprehensive Security Review
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
Pengzhou Cheng
Zongru Wu
Wei Du
Haodong Zhao
Wei Lu
Gongshen Liu
SILM
AAML
39
18
0
12 Sep 2023
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient
  MoE for Instruction Tuning
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri
Ahmet Üstün
Arash Ahmadian
Beyza Ermics
Acyr Locatelli
Sara Hooker
MoE
48
89
0
11 Sep 2023
Class-Incremental Grouping Network for Continual Audio-Visual Learning
Class-Incremental Grouping Network for Continual Audio-Visual Learning
Shentong Mo
Weiguo Pian
Yapeng Tian
CLL
VLM
46
23
0
11 Sep 2023
Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank
  Matrices
Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices
Bojia Zi
Xianbiao Qi
Lingzhi Wang
Jianan Wang
Kam-Fai Wong
Lei Zhang
34
42
0
05 Sep 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan A. Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
42
498
0
02 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
35
115
0
01 Sep 2023
MerA: Merging Pretrained Adapters For Few-Shot Learning
MerA: Merging Pretrained Adapters For Few-Shot Learning
Shwai He
Run-Ze Fan
Liang Ding
Li Shen
Dinesh Manocha
Dacheng Tao
MoMe
42
11
0
30 Aug 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
22
48
0
30 Aug 2023
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient
  Parameter and Memory
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
Haiwen Diao
Bo Wan
Wenjie Qu
Xuecong Jia
Huchuan Lu
Long Chen
VLM
39
18
0
28 Aug 2023
FwdLLM: Efficient FedLLM using Forward Gradient
FwdLLM: Efficient FedLLM using Forward Gradient
Mengwei Xu
Dongqi Cai
Yaozong Wu
Xiang Li
Shangguang Wang
FedML
57
25
0
26 Aug 2023
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text
  Retrieval
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval
Yuan. Yuan
Yangfan Zhan
Zhitong Xiong
VLM
33
39
0
24 Aug 2023
IncreLoRA: Incremental Parameter Allocation Method for
  Parameter-Efficient Fine-tuning
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
Feiyu F. Zhang
Liangzhi Li
Jun-Cheng Chen
Zhouqian Jiang
Bowen Wang
Yiming Qian
51
33
0
23 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Baoshuo Kan
Teng Wang
Wenpeng Lu
Xiantong Zhen
Weili Guan
Feng Zheng
VPVLM
VLM
36
25
0
22 Aug 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers
  in Federated Learning
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun
Matías Mendieta
Jun Luo
Shandong Wu
Chong Chen
38
16
0
17 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task
  Learning in NLP Through ML Lifecycle: A Survey
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Lovre Torbarina
Tin Ferkovic
Lukasz Roguski
Velimir Mihelčić
Bruno Šarlija
Z. Kraljevic
31
5
0
16 Aug 2023
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues
  with Transition Info Extractor and Transition Sentence Generator
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator
Ye Liu
Stefan Ultes
Wolfgang Minker
Wolfgang Maier
24
3
0
06 Aug 2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of
  Precision Redundancy
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
Shibo Jie
Haoqing Wang
Zhiwei Deng
32
31
0
31 Jul 2023
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