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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
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative
  Tasks
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
Hanqing Wang
Bowen Ping
Shuo Wang
Xu Han
Yun-Nung Chen
Zhiyuan Liu
Maosong Sun
MoMe
33
19
0
18 Feb 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for
  Ultra-Low-Parameter Fine-Tuning of Large Language Models
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang
Jiajun Zhou
Ngai Wong
Zheng Zhang
29
7
0
18 Feb 2024
RENOVI: A Benchmark Towards Remediating Norm Violations in
  Socio-Cultural Conversations
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations
Haolan Zhan
Zhuang Li
Xiaoxi Kang
Tao Feng
Yuncheng Hua
...
Linhao Luo
Lay-Ki Soon
Zhaleh Semnani Azad
Ingrid Zukerman
Gholamreza Haffari
57
8
0
17 Feb 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of
  Signed Weight Directions and its Application to Effective Model Pruning
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning
Tuc Nguyen
Thai Le
MoMe
28
3
0
16 Feb 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
31
0
0
15 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A
  Survey
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang
Wei Chen
Yicong Luo
Yongliu Long
Zhengkai Lin
Liye Zhang
Binbin Lin
Deng Cai
Xiaofei He
MQ
43
48
0
15 Feb 2024
Task-conditioned adaptation of visual features in multi-task policy
  learning
Task-conditioned adaptation of visual features in multi-task policy learning
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
53
2
0
12 Feb 2024
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models
Prachi Jain
Ashutosh Sathe
Varun Gumma
Kabir Ahuja
Sunayana Sitaram
28
1
0
12 Feb 2024
LiFi: Lightweight Controlled Text Generation with Fine-Grained Control
  Codes
LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes
Chufan Shi
Deng Cai
Yujiu Yang
59
3
0
10 Feb 2024
Efficient Stagewise Pretraining via Progressive Subnetworks
Efficient Stagewise Pretraining via Progressive Subnetworks
Abhishek Panigrahi
Nikunj Saunshi
Kaifeng Lyu
Sobhan Miryoosefi
Sashank J. Reddi
Satyen Kale
Sanjiv Kumar
38
5
0
08 Feb 2024
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Mohammed Muqeeth
Haokun Liu
Yufan Liu
Colin Raffel
MoMe
37
34
0
08 Feb 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game
  Instruction
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
Yonggang Jin
Ge Zhang
Hao Zhao
Tianyu Zheng
Jiawei Guo
Liuyu Xiang
Shawn Yue
Stephen W. Huang
Zhaofeng He
Jie Fu
OffRL
41
4
0
06 Feb 2024
Time-, Memory- and Parameter-Efficient Visual Adaptation
Time-, Memory- and Parameter-Efficient Visual Adaptation
Otniel-Bogdan Mercea
Alexey Gritsenko
Cordelia Schmid
Anurag Arnab
VLM
40
13
0
05 Feb 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce
  Programs over Low-resourced Knowledge Bases
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
Jiajie Zhang
S. Cao
Linmei Hu
Ling Feng
Lei Hou
Juanzi Li
KELM
36
3
0
02 Feb 2024
LoTR: Low Tensor Rank Weight Adaptation
LoTR: Low Tensor Rank Weight Adaptation
Daniel Bershatsky
Daria Cherniuk
Talgat Daulbaev
A. Mikhalev
Ivan Oseledets
72
16
0
02 Feb 2024
Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture
  of Adapters
Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters
Umberto Cappellazzo
Daniele Falavigna
Alessio Brutti
MoE
48
3
0
01 Feb 2024
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme
  Multi-Profile Scenarios
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
Namju Kwak
Taesup Kim
MoE
29
0
0
29 Jan 2024
Effective Controllable Bias Mitigation for Classification and Retrieval
  using Gate Adapters
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Shahed Masoudian
Cornelia Volaucnik
Markus Schedl
Navid Rekabsaz
21
5
0
29 Jan 2024
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations
  in Bilingual Socio-Cultural Conversations
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations
Yuncheng Hua
Zhuang Li
Linhao Luo
Kadek Ananta Satriadi
Tao Feng
...
Lizhen Qu
Suraj Sharma
Ingrid Zukerman
Zhaleh Semnani Azad
Gholamreza Haffari
35
2
0
29 Jan 2024
What the Weight?! A Unified Framework for Zero-Shot Knowledge
  Composition
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition
Carolin Holtermann
Markus Frohmann
Navid Rekabsaz
Anne Lauscher
MoMe
29
5
0
23 Jan 2024
APT: Adaptive Pruning and Tuning Pretrained Language Models for
  Efficient Training and Inference
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Bowen Zhao
Hannaneh Hajishirzi
Qingqing Cao
34
17
0
22 Jan 2024
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
Nadav Benedek
Lior Wolf
32
5
0
20 Jan 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the
  Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
Tuc Nguyen
Thai Le
AAML
SILM
MoE
19
2
0
18 Jan 2024
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of
  Large Language Models
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
Divyanshu Aggarwal
Ashutosh Sathe
Ishaan Watts
Sunayana Sitaram
40
1
0
15 Jan 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized
  Large Language Models
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
Zhengxin Zhang
Dan Zhao
Xupeng Miao
Gabriele Oliaro
Qing Li
Yong-jia Jiang
Zhihao Jia
MQ
51
7
0
13 Jan 2024
SamLP: A Customized Segment Anything Model for License Plate Detection
SamLP: A Customized Segment Anything Model for License Plate Detection
Haoxuan Ding
Junyuan Gao
Yuan. Yuan
Qi. Wang
MLLM
VLM
34
7
0
12 Jan 2024
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen
  Language Generalization
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization
Muhammad Farid Adilazuarda
Samuel Cahyawijaya
Alham Fikri Aji
Genta Indra Winata
Ayu Purwarianti
28
5
0
11 Jan 2024
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual
  Learning
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
Wenhan Xia
Chengwei Qin
Elad Hazan
60
55
0
08 Jan 2024
LLM Augmented LLMs: Expanding Capabilities through Composition
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal
Bidisha Samanta
Siddharth Dalmia
Nitish Gupta
Shikhar Vashishth
Sriram Ganapathy
Abhishek Bapna
Prateek Jain
Partha P. Talukdar
CLL
26
34
0
04 Jan 2024
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and
  Ensemble Techniques
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques
Tzu-Han Lin
How-Shing Wang
Hao-Yung Weng
Kuang-Chen Peng
Zih-Ching Chen
Hung-yi Lee
42
5
0
04 Jan 2024
Overview of the PromptCBLUE Shared Task in CHIP2023
Overview of the PromptCBLUE Shared Task in CHIP2023
Wei-wei Zhu
Xiaoling Wang
Mosha Chen
Buzhou Tang
LM&MA
ELM
41
7
0
29 Dec 2023
AdapterDistillation: Non-Destructive Task Composition with Knowledge
  Distillation
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
Junjie Wang
Yicheng Chen
Wangshu Zhang
Sen Hu
Teng Xu
Jing Zheng
VLM
37
1
0
26 Dec 2023
Diversifying Knowledge Enhancement of Biomedical Language Models using
  Adapter Modules and Knowledge Graphs
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs
Juraj Vladika
Alexander Fichtl
Florian Matthes
KELM
30
1
0
21 Dec 2023
PPEA-Depth: Progressive Parameter-Efficient Adaptation for
  Self-Supervised Monocular Depth Estimation
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong
Yuanchen Guo
Ying-Tian Liu
Fang-Lue Zhang
Song-Hai Zhang
MDE
43
4
0
20 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
62
137
0
19 Dec 2023
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song
Z. Li
Lefei Zhang
Hai Zhao
Bo Du
VLM
29
7
0
19 Dec 2023
SA$^2$VP: Spatially Aligned-and-Adapted Visual Prompt
SA2^22VP: Spatially Aligned-and-Adapted Visual Prompt
Wenjie Pei
Tongqi Xia
Fanglin Chen
Jinsong Li
Jiandong Tian
Guangming Lu
VLM
VPVLM
15
8
0
16 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
33
15
0
15 Dec 2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for
  Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Khoi M. Le
Zhiyuan Hu
Cong-Duy Nguyen
See-Kiong Ng
Anh Tuan Luu
38
2
0
12 Dec 2023
ControlNet-XS: Designing an Efficient and Effective Architecture for
  Controlling Text-to-Image Diffusion Models
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models
Denis Zavadski
Johann-Friedrich Feiden
Carsten Rother
DiffM
48
5
0
11 Dec 2023
Initialization Matters for Adversarial Transfer Learning
Initialization Matters for Adversarial Transfer Learning
Andong Hua
Jindong Gu
Zhiyu Xue
Nicholas Carlini
Eric Wong
Yao Qin
AAML
32
6
0
10 Dec 2023
Customizable Combination of Parameter-Efficient Modules for Multi-Task
  Learning
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Haowen Wang
Tao Sun
Cong Fan
Jinjie Gu
MoE
16
7
0
06 Dec 2023
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
Qizhe Zhang
Bocheng Zou
Ruichuan An
Jiaming Liu
Shanghang Zhang
MoE
29
2
0
05 Dec 2023
Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies
Vithya Yogarajan
Gillian Dobbie
Te Taka Keegan
R. Neuwirth
ALM
54
11
0
03 Dec 2023
PEFTDebias : Capturing debiasing information using PEFTs
PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal
Aditya Srikanth Veerubhotla
Srijan Bansal
27
3
0
01 Dec 2023
Parameter Efficient Fine-tuning via Cross Block Orchestration for
  Segment Anything Model
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
Zelin Peng
Zhengqin Xu
Zhilin Zeng
Lingxi Xie
Qi Tian
Wei Shen
28
10
0
28 Nov 2023
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
Yi-Fan Jin
Greg Slabaugh
Simon Lucas
OnRL
AI4CE
27
0
0
20 Nov 2023
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer
  Learning
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Clifton A. Poth
Hannah Sterz
Indraneil Paul
Sukannya Purkayastha
Leon Arne Engländer
Timo Imhof
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
Jonas Pfeiffer
37
45
0
18 Nov 2023
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
Adithya Renduchintala
Tugrul Konuk
Oleksii Kuchaiev
MoMe
41
42
0
16 Nov 2023
SQATIN: Supervised Instruction Tuning Meets Question Answering for
  Improved Dialogue NLU
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
E. Razumovskaia
Goran Glavaš
Anna Korhonen
Ivan Vulić
LRM
32
2
0
16 Nov 2023
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