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Parameter-Efficient Transfer Learning for NLP

Parameter-Efficient Transfer Learning for NLP

2 February 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
ArXivPDFHTML

Papers citing "Parameter-Efficient Transfer Learning for NLP"

50 / 765 papers shown
Title
Data-Augmentation-Based Dialectal Adaptation for LLMs
Data-Augmentation-Based Dialectal Adaptation for LLMs
Fahim Faisal
Antonios Anastasopoulos
31
2
0
11 Apr 2024
Automating Research Synthesis with Domain-Specific Large Language Model
  Fine-Tuning
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak
Peter Hwang
N. Reyes
A. Barczak
Timothy R. McIntosh
Surangika Ranathunga
68
22
0
08 Apr 2024
A Note on LoRA
A Note on LoRA
Vlad Fomenko
Han Yu
Jongho Lee
Stanley Hsieh
Weizhu Chen
30
5
0
07 Apr 2024
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language
  Translation
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
Tong Su
Xin Peng
Sarubi Thillainathan
David Guzmán
Surangika Ranathunga
En-Shiun Annie Lee
35
2
0
05 Apr 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
40
7
0
05 Apr 2024
Personalized LLM Response Generation with Parameterized Memory Injection
Personalized LLM Response Generation with Parameterized Memory Injection
Kai Zhang
Lizhi Qing
Yangyang Kang
36
11
0
04 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
68
0
03 Apr 2024
Potentials of the Metaverse for Robotized Applications in Industry 4.0
  and Industry 5.0
Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0
E. Kaigom
32
2
0
31 Mar 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
35
0
0
31 Mar 2024
WavLLM: Towards Robust and Adaptive Speech Large Language Model
WavLLM: Towards Robust and Adaptive Speech Large Language Model
Shujie Hu
Long Zhou
Shujie Liu
Sanyuan Chen
Hongkun Hao
...
Xunying Liu
Jinyu Li
S. Sivasankaran
Linquan Liu
Furu Wei
AuLLM
21
43
0
31 Mar 2024
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action
  Generalization
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
Anna Kukleva
Fadime Sener
Edoardo Remelli
Bugra Tekin
Eric Sauser
Bernt Schiele
Shugao Ma
VLM
EgoV
42
1
0
28 Mar 2024
Robust Active Speaker Detection in Noisy Environments
Robust Active Speaker Detection in Noisy Environments
Siva Sai Nagender Vasireddy
Chenxu Zhang
Xiaohu Guo
Yapeng Tian
32
0
0
27 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
42
8
0
27 Mar 2024
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization
  with Vision-Language Models
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Elaine Sui
Xiaohan Wang
Serena Yeung-Levy
VLM
30
5
0
19 Mar 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer
  Attention Modules
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules
Xiangyu Chen
Jing Liu
Ye Wang
Pu Wang
Matthew Brand
Guanghui Wang
T. Koike-Akino
40
7
0
18 Mar 2024
TransLandSeg: A Transfer Learning Approach for Landslide Semantic
  Segmentation Based on Vision Foundation Model
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
Changhong Hou
Junchuan Yu
Daqing Ge
Liu Yang
Laidian Xi
Yunxuan Pang
Yi Wen
25
0
0
15 Mar 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient
  Fine-Tuning with Low-Rank Bottlenecks
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu
Tinne Tuytelaars
Marie-Francine Moens
MoE
40
2
0
14 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based
  on Meta Learning
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
Ruiyi Zhang
Rushi Qiang
Sai Ashish Somayajula
Pengtao Xie
34
13
0
14 Mar 2024
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
63
6
0
14 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective
  Personalization and Stylization in Text-to-Image Generation
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
Likun Li
Haoqi Zeng
Changpeng Yang
Haozhe Jia
Di Xu
DiffM
32
4
0
12 Mar 2024
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?
Jiawei Chen
Yue Jiang
Dingkang Yang
Mingcheng Li
Jinjie Wei
Ziyun Qian
Lihua Zhang
LM&MA
27
9
0
11 Mar 2024
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit
  Detectors
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
Kaishen Yuan
Zitong Yu
Xin Liu
Weicheng Xie
Huanjing Yue
Jingyu Yang
ViT
26
12
0
07 Mar 2024
A Modular Approach for Multimodal Summarization of TV Shows
A Modular Approach for Multimodal Summarization of TV Shows
Louis Mahon
Mirella Lapata
23
9
0
06 Mar 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
79
0
05 Mar 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient
  Fine-Tuning of Large Language Models
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
30
4
0
02 Mar 2024
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
Thiago Freitas dos Santos
Nardine Osman
Marco Schorlemmer
21
0
0
01 Mar 2024
Large Convolutional Model Tuning via Filter Subspace
Large Convolutional Model Tuning via Filter Subspace
Wei Chen
Zichen Miao
Qiang Qiu
51
3
0
01 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Jianbin Zheng
Minghui Hu
Zhongyi Fan
Chaoyue Wang
Changxing Ding
Dacheng Tao
Tat-Jen Cham
43
26
0
29 Feb 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Xupeng Miao
Gabriele Oliaro
Xinhao Cheng
Vineeth Kada
Ruohan Gao
...
April Yang
Yingcheng Wang
Mengdi Wu
Colin Unger
Zhihao Jia
MoE
94
9
0
29 Feb 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
33
2
0
28 Feb 2024
Deployment Prior Injection for Run-time Calibratable Object Detection
Deployment Prior Injection for Run-time Calibratable Object Detection
Mo Zhou
Yiding Yang
Haoxiang Li
Vishal M. Patel
Gang Hua
41
0
0
27 Feb 2024
Understanding the effects of language-specific class imbalance in
  multilingual fine-tuning
Understanding the effects of language-specific class imbalance in multilingual fine-tuning
Vincent Jung
Lonneke van der Plas
18
9
0
20 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
44
2
0
20 Feb 2024
LoRA+: Efficient Low Rank Adaptation of Large Models
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
32
141
0
19 Feb 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by
  Downscaling Frequency Space
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
Zongru Wu
Zhuosheng Zhang
Pengzhou Cheng
Gongshen Liu
AAML
44
4
0
19 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
Zhihao Wen
Jie Zhang
Yuan Fang
MoE
34
3
0
19 Feb 2024
GNNavi: Navigating the Information Flow in Large Language Models by
  Graph Neural Network
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Shuzhou Yuan
Ercong Nie
Michael Farber
Helmut Schmid
Hinrich Schütze
35
3
0
18 Feb 2024
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Shuzhou Yuan
Ercong Nie
Bolei Ma
Michael Farber
34
3
0
18 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
28
2
0
15 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
23
0
0
15 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Bryan Perozzi
Bahare Fatemi
Dustin Zelle
Anton Tsitsulin
Mehran Kazemi
Rami Al-Rfou
Jonathan J. Halcrow
GNN
32
55
0
08 Feb 2024
It's Never Too Late: Fusing Acoustic Information into Large Language
  Models for Automatic Speech Recognition
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Chen Chen
Ruizhe Li
Yuchen Hu
Sabato Marco Siniscalchi
Pin-Yu Chen
Ensiong Chng
Chao-Han Huck Yang
28
19
0
08 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Yongchang Hao
Yanshuai Cao
Lili Mou
13
39
0
05 Feb 2024
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Anna Bringmann
Anastasia Zhukova
VLM
30
0
0
05 Feb 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
70
75
0
03 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
37
4
0
31 Jan 2024
Looking Right is Sometimes Right: Investigating the Capabilities of
  Decoder-only LLMs for Sequence Labeling
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
David Dukić
Jan Šnajder
24
12
0
25 Jan 2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life
  Sciences
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences
Hongyi Liu
Qingyun Wang
Payam Karisani
Heng Ji
16
1
0
19 Jan 2024
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