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Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

8 June 2021
Rabeeh Karimi Mahabadi
James Henderson
Sebastian Ruder
    MoE
ArXivPDFHTML

Papers citing "Compacter: Efficient Low-Rank Hypercomplex Adapter Layers"

50 / 343 papers shown
Title
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai
Zichen Liu
Yuanhang Lei
Zhenyu Cui
Xu Zou
Jiahuan Zhou
34
0
0
07 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun Luo
Yue Gao
MoE
41
2
0
05 May 2025
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Bo Zhang
Hui Ma
Dailin Li
Jian Ding
Jian Wang
Bo Xu
Hongfei Lin
KELM
44
0
0
10 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue
Ming Dong
Xinhui Tu
Tingting He
34
0
0
05 Apr 2025
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Guanhua Chen
Yutong Yao
Ci-Jun Gao
Lidia S. Chao
Feng Wan
Derek F. Wong
39
0
0
30 Mar 2025
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition
Jongseo Lee
Joohyun Chang
Dongho Lee
Jinwoo Choi
53
0
0
30 Mar 2025
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Hengyuan Zhao
Ziqin Wang
Qixin Sun
Kaiyou Song
Yilin Li
Xiaolin Hu
Qingpei Guo
Si Liu
KELM
CLL
MoE
65
0
0
27 Mar 2025
Faster Parameter-Efficient Tuning with Token Redundancy Reduction
Faster Parameter-Efficient Tuning with Token Redundancy Reduction
Kwonyoung Kim
Jungin Park
Jin-Hwa Kim
Hyeongjun Kwon
Kwanghoon Sohn
70
0
0
26 Mar 2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Zichen Miao
Wei Chen
Qiang Qiu
90
1
0
24 Mar 2025
On the Robustness Tradeoff in Fine-Tuning
On the Robustness Tradeoff in Fine-Tuning
Kunyang Li
Jean-Charles Noirot Ferrand
Ryan Sheatsley
Blaine Hoak
Yohan Beugin
Eric Pauley
Patrick McDaniel
61
0
0
19 Mar 2025
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
Romain Thoreau
Valerio Marsocci
Dawa Derksen
AI4CE
71
2
0
12 Mar 2025
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
Guillaume Quétant
Pavlo Molchanov
Slava Voloshynovskiy
47
0
0
10 Mar 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
V. Cevher
MQ
54
3
0
07 Mar 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
77
2
0
24 Feb 2025
Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models
Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models
Atharva Mehta
Shivam Chauhan
Amirbek Djanibekov
Atharva Kulkarni
Gus Xia
Monojit Choudhury
69
0
0
11 Feb 2025
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
Yue Zhu
Haiwen Diao
Shang Gao
Long Chen
Huchuan Lu
89
0
0
10 Feb 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
43
0
0
09 Feb 2025
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
Zequan Liu
Yi Zhao
Ming Tan
Wei Zhu
Aaron Xuxiang Tian
39
0
0
03 Feb 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
48
0
0
28 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
46
8
0
23 Jan 2025
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
Lei Liu
Zhenghao Chen
Zhihao Hu
Dong Xu
36
4
0
08 Jan 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
Tanay Agrawal
Mohammed Guermal
Michal Balazia
François Brémond
29
0
0
08 Jan 2025
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
Ting Liu
Zunnan Xu
Yue Hu
Liangtao Shi
Zhiqiang Wang
Quanjun Yin
65
2
0
03 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
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
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Siyuan Wang
Dianyi Wang
Chengxing Zhou
Zejun Li
Zhihao Fan
Xuanjing Huang
Zhongyu Wei
VLM
185
0
0
17 Dec 2024
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face
  Recognition
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
Kartik Narayan
Nithin Gopalakrishnan Nair
Jennifer Xu
Rama Chellappa
Vishal M. Patel
CVBM
CLL
70
1
0
10 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
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
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDa
ALM
49
2
0
14 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
Efficient and Effective Adaptation of Multimodal Foundation Models in
  Sequential Recommendation
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Kaiwen Zheng
Yongxin Ni
J. Jose
23
2
0
05 Nov 2024
AM Flow: Adapters for Temporal Processing in Action Recognition
AM Flow: Adapters for Temporal Processing in Action Recognition
Tanay Agrawal
Abid Ali
A. Dantcheva
François Brémond
39
0
0
04 Nov 2024
FEET: A Framework for Evaluating Embedding Techniques
FEET: A Framework for Evaluating Embedding Techniques
Simon A. Lee
John Lee
Jeffrey N. Chiang
34
3
0
02 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
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
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language
  Models Fine-tuning
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
Jingfan Zhang
Yi Zhao
Dan Chen
Xing Tian
Huanran Zheng
Wei Zhu
MoE
37
12
0
23 Oct 2024
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language
  Tuning
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
Zhiwei Hao
Jianyuan Guo
Li Shen
Yong Luo
Han Hu
Yonggang Wen
VLM
23
0
0
23 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
36
1
0
22 Oct 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy
  Conflicts in Large Language Models
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models
Chen Qian
Dongrui Liu
Jie Zhang
Yong Liu
Jing Shao
37
1
0
22 Oct 2024
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis
  with Large Language Models
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
Hongcheng Ding
Fuzhen Hu
Xuanze Zhao
Zixiao Jiang
Shamsul Nahar Abdullah
Deshinta Arrova Dewi
21
0
0
22 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
25
0
0
21 Oct 2024
Layer-wise Importance Matters: Less Memory for Better Performance in
  Parameter-efficient Fine-tuning of Large Language Models
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao
P. Gao
Lichun Li
Yuan Zhao
Xiaofeng Wang
Wei Wang
Jianke Zhu
26
1
0
15 Oct 2024
Understanding Robustness of Parameter-Efficient Tuning for Image
  Classification
Understanding Robustness of Parameter-Efficient Tuning for Image Classification
Jiacheng Ruan
Xian Gao
Suncheng Xiang
Mingye Xie
Ting Liu
Yuzhuo Fu
AAML
VLM
26
0
0
13 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
28
1
0
13 Oct 2024
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
Hai Huang
Randall Balestriero
35
0
0
13 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
Implicit to Explicit Entropy Regularization: Benchmarking ViT
  Fine-tuning under Noisy Labels
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels
Maria Marrium
Arif Mahmood
Mohammed Bennamoun
NoLa
AAML
31
0
0
05 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
28
0
0
02 Oct 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELM
CLL
MoMe
27
1
0
29 Sep 2024
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent
  Representation MOdification
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
Tianfang Xie
Tianjing Li
Wei Zhu
Wei Han
Yi Zhao
34
5
0
26 Sep 2024
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt
  Tuning through Modular Prompt Composition
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
Ahmad Pouramini
H. Faili
VLM
34
0
0
23 Aug 2024
AdaRank: Disagreement Based Module Rank Prediction for Low-rank
  Adaptation
AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation
Yihe Dong
ALM
39
1
0
16 Aug 2024
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