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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 / 947 papers shown
Title
Transferable Adversarial Attacks on SAM and Its Downstream Models
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
66
6
0
26 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
52
3
0
24 Oct 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
58
2
0
23 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
44
2
0
23 Oct 2024
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
Thomas Robert
M. Safaryan
Ionut-Vlad Modoranu
Dan Alistarh
ODL
36
2
0
21 Oct 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
57
1
0
18 Oct 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale
  Models
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
Qiaoyu Tang
Le Yu
Bowen Yu
Hongyu Lin
Keming Lu
Yaojie Lu
Xianpei Han
Le Sun
MoMe
39
1
0
17 Oct 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Shwai He
Tao Ge
Guoheng Sun
Bowei Tian
Xiaoyang Wang
Ang Li
MoE
54
1
0
17 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
M. Germán-Morales
A. J. Rivera-Rivas
M. J. del Jesus Díaz
C. J. Carmona
AI4TS
AI4CE
56
0
0
15 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage
  Learning Strategy
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLL
MoMe
43
1
0
14 Oct 2024
Scalable Multi-Domain Adaptation of Language Models using Modular
  Experts
Scalable Multi-Domain Adaptation of Language Models using Modular Experts
Peter Schafhalter
Shun Liao
Yanqi Zhou
Chih-Kuan Yeh
Arun Kandoor
James Laudon
MoE
34
1
0
14 Oct 2024
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Guozhi Liu
Weiwei Lin
Tiansheng Huang
Ruichao Mo
Qi Mu
Li Shen
AAML
69
11
0
13 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
47
0
0
12 Oct 2024
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han
Akiko Eriguchi
Haoran Xu
Hieu T. Hoang
Marine Carpuat
Huda Khayrallah
VLM
43
2
0
12 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
MoE
MoMe
46
2
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
Yiming Li
Rui Zhang
Hantao Yao
X. Zhang
Yifan Hao
Xinkai Song
Xiaqing Li
Yongwei Zhao
Ling Li
Yunji Chen
ObjD
VLM
39
4
0
11 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
212
1
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
33
4
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
CLL
MoMe
MoE
38
2
0
10 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith Suriyakumar
Rohan Alur
Ayush Sekhari
Manish Raghavan
Ashia Wilson
58
2
0
10 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
26
0
0
09 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs
Ruijia Niu
D. Wu
Rose Yu
Yi Ma
35
1
0
09 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan
Pingzhi Li
Sukwon Yun
Zhenyu Wang
S. Nirjon
Chau-Wai Wong
Tianlong Chen
KELM
43
2
0
08 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
79
6
0
06 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
38
0
0
05 Oct 2024
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Thang Nguyen
Peter Chin
Yu-Wing Tai
RALM
45
4
0
03 Oct 2024
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le
Chau Nguyen
Huy Nguyen
Quyen Tran
Trung Le
Nhat Ho
44
5
0
03 Oct 2024
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
Bin Wang
Yong-Jin Liu
48
0
0
03 Oct 2024
Differentially Private Parameter-Efficient Fine-tuning for Large ASR
  Models
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
Hongbin Liu
Lun Wang
Om Thakkar
Abhradeep Thakurta
Arun Narayanan
37
0
0
02 Oct 2024
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
Yuxuan Zhang
Ruizhe Li
MoMe
58
0
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
50
11
0
02 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
48
1
0
01 Oct 2024
HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models
HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models
Bingshen Mu
Kun Wei
Qijie Shao
Yong Xu
Lei Xie
MoE
47
2
0
30 Sep 2024
Designing Domain-Specific Large Language Models: The Critical Role of
  Fine-Tuning in Public Opinion Simulation
Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation
Haocheng Lin
ALM
29
1
0
28 Sep 2024
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
Houjian Yu
Mingen Li
Alireza Rezazadeh
Yang Yang
Changhyun Choi
52
1
0
28 Sep 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Saber Malekmohammadi
G. Farnadi
32
2
0
26 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
226
5
0
25 Sep 2024
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models
Zhichen Han
Tianqi Geng
Hui Feng
Jiahong Yuan
Korin Richmond
Yuanchao Li
43
1
0
25 Sep 2024
Sequential Learning in the Dense Associative Memory
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
216
1
0
24 Sep 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
46
36
0
23 Sep 2024
Orthogonal Finetuning for Direct Preference Optimization
Orthogonal Finetuning for Direct Preference Optimization
Chenxu Yang
Ruipeng Jia
Naibin Gu
Zheng Lin
Siyuan Chen
Chao Pang
Weichong Yin
Yu Sun
Hua Wu
Weiping Wang
37
0
0
23 Sep 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
85
2
0
23 Sep 2024
Interpreting Arithmetic Mechanism in Large Language Models through
  Comparative Neuron Analysis
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
Zeping Yu
Sophia Ananiadou
LRM
MILM
32
7
0
21 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
21
0
0
21 Sep 2024
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With A Affine Transformation Contrastive Learning
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With A Affine Transformation Contrastive Learning
Wenhui Diao
Haichen Yu
Kaiyue Kang
Tong Ling
Di Liu
...
Hanbo Bi
Libo Ren
Xuexue Li
Yongqiang Mao
Xian Sun
42
1
0
20 Sep 2024
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit
  Recommendation with Preference
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
Najmeh Forouzandehmehr
Nima Farrokhsiar
Ramin Giahi
Evren Körpeoglu
Kannan Achan
20
0
0
18 Sep 2024
Recent advances in deep learning and language models for studying the
  microbiome
Recent advances in deep learning and language models for studying the microbiome
Binghao Yan
Yunbi Nam
Lingyao Li
Rebecca A Deek
Hongzhe Li
Siyuan Ma
23
1
0
15 Sep 2024
Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions
Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions
Lingwei Meng
Shujie Hu
Jiawen Kang
Zhaoqing Li
Yuejiao Wang
Wenxuan Wu
Xixin Wu
Xunying Liu
Helen Meng
AuLLM
75
2
0
13 Sep 2024
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
Hayeon Jo
Hyesong Choi
Minhee Cho
Dongbo Min
44
1
0
04 Sep 2024
Multi-Modal Adapter for Vision-Language Models
Multi-Modal Adapter for Vision-Language Models
Dominykas Seputis
Serghei Mihailov
Soham Chatterjee
Zehao Xiao
VLM
38
1
0
03 Sep 2024
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