Parameter-Efficient Transfer Learning for NLP

2 February 2019

N. Houlsby

A. Giurgiu

Stanislaw Jastrzebski

Bruna Morrone

Quentin de Laroussilhe

Papers citing "Parameter-Efficient Transfer Learning for NLP"

50 / 729 papers shown

Title
Spectral-Aware Low-Rank Adaptation for Speaker Verification Zhe Li Man-Wai Mak Mert Pilanci Hung-yi Lee H. Meng 41 0 0 07 Jan 2025
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension Ting Liu Zunnan Xu Yue Hu Liangtao Shi Zhiqiang Wang Quanjun Yin 57 2 0 03 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Hashmath Shaik Alex Doboli OffRL ELM 146 0 0 31 Dec 2024
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames Pinelopi Papalampidi Skanda Koppula Shreya Pathak Justin T Chiu Joseph Heyward Viorica Patraucean Jiajun Shen Antoine Miech Andrew Zisserman Aida Nematzdeh VLM 60 24 0 31 Dec 2024
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation Q. Liu Zhaopeng Qiu Xiangyu Zhao X. Wu Zijian Zhang Tong Bill Xu Feng Tian 34 0 0 31 Dec 2024
GaLore $+$ : Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Xutao Liao Shaohui Li Yuhui Xu Zhi Li Y. Liu You He VLM 59 2 0 31 Dec 2024
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions Hao Du Shang Liu Lele Zheng Yang Cao Atsuyoshi Nakamura Lei Chen AAML 114 3 0 21 Dec 2024
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks Yaming Zhang Chenqiang Gao Fangcen Liu Junjie Guo Lan Wang Xinggan Peng Deyu Meng 102 0 0 21 Dec 2024
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Sepideh Maleki Jan-Christian Huetter Kangway V Chuang Gabriele Scalia Tommaso Biancalani Tommaso Biancalani AI4CE 85 2 0 18 Dec 2024
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 97 0 0 15 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models Fan Wang Juyong Jiang Chansung Park Sunghun Kim Jing Tang 94 1 0 08 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 100 6 0 30 Nov 2024
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Yilong Wang Zilin Gao Qilong Wang Zhaofeng Chen P. Li Q. Hu 80 1 0 28 Nov 2024
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario Shih-Heng Wang Zih-Ching Chen Jiatong Shi Ming To Chuang Guan-Ting Lin Kuan Po Huang David F. Harwath Shang-Wen Li Hung-yi Lee 78 1 0 27 Nov 2024
AMPS: ASR with Multimodal Paraphrase Supervision Amruta Parulekar Abhishek Gupta Sameep Chattopadhyay P. Jyothi 75 0 0 27 Nov 2024
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation Claudia Cuttano Gabriele Trivigno Gabriele Rosi Carlo Masone Giuseppe Averta VOS 106 2 0 26 Nov 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu S. M. I. Simon X. Yang Baile Xu Jian Zhao F. Shen CLL 81 0 0 26 Nov 2024
BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao VLM 108 0 0 21 Nov 2024
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Seokil Ham H. Kim Sangmin Woo Changick Kim Mamba 169 0 0 21 Nov 2024
MC-LLaVA: Multi-Concept Personalized Vision-Language Model Ruichuan An Sihan Yang Ming Lu Kai Zeng Yulin Luo ... Hao Liang Qi She Shanghang Zhang W. Zhang Wentao Zhang 83 5 0 18 Nov 2024
Efficient Transfer Learning for Video-language Foundation Models Haoxing Chen Zizheng Huang Y. Hong Yanshuo Wang Zhongcai Lyu Zhuoer Xu Jun Lan Zhangxuan Gu VLM 49 0 0 18 Nov 2024
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 30 0 0 12 Nov 2024
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass Tong Chen Hao Fang Patrick Xia Xiaodong Liu Benjamin Van Durme Luke Zettlemoyer Jianfeng Gao Hao Cheng KELM 51 2 0 08 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura Teruaki Hayashi Yota Maeda Mamba 98 2 0 06 Nov 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 76 5 0 28 Oct 2024
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 55 6 0 26 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 49 3 0 24 Oct 2024
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 48 2 0 23 Oct 2024
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 33 2 0 23 Oct 2024
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics Thomas Robert M. Safaryan Ionut-Vlad Modoranu Dan Alistarh ODL 31 2 0 21 Oct 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 49 1 0 18 Oct 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models Qiaoyu Tang Le Yu Bowen Yu Hongyu Lin K. Lu Y. Lu Xianpei Han Le Sun MoMe 32 1 0 17 Oct 2024
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 46 1 0 17 Oct 2024
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 51 0 0 15 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy Hong Li Zhiquan Tan Xingyu Li Weiran Huang CLL MoMe 40 1 0 14 Oct 2024
Scalable Multi-Domain Adaptation of Language Models using Modular Experts Peter Schafhalter Shun Liao Yanqi Zhou Chih-Kuan Yeh Arun Kandoor James Laudon MoE 24 1 0 14 Oct 2024
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 58 10 0 13 Oct 2024
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han Akiko Eriguchi Haoran Xu Hieu T. Hoang Marine Carpuat Huda Khayrallah VLM 32 2 0 12 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 39 0 0 12 Oct 2024
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 38 2 0 12 Oct 2024
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection H. Li Rui Zhang Hantao Yao X. Zhang Yifan Hao Xinkai Song Xiaqing Li Yongwei Zhao Ling Li Yunji Chen ObjD VLM 31 3 0 11 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both Abhijnan Nath Changsoo Jung Ethan Seefried Nikhil Krishnaswamy 125 1 0 11 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim Wonjun Kang Yuchen Zeng H. Koo Kangwook Lee 29 4 0 11 Oct 2024
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 Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 53 2 0 10 Oct 2024
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare Pardis Sadat Zahraei Zahra Shakeri LM&MA 23 0 0 09 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 28 1 0 09 Oct 2024
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 David X. Wu A. Sahai 65 6 0 06 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models Ignacio Hounie Charilaos I. Kanatsoulis Arnuv Tandon Alejandro Ribeiro 36 0 0 05 Oct 2024