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Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

10 November 2023
Weiyang Liu
Zeju Qiu
Yao Feng
Yuliang Xiu
Yuxuan Xue
Longhui Yu
Haiwen Feng
Zhen Liu
Juyeon Heo
Songyou Peng
Yandong Wen
Michael J. Black
Adrian Weller
Bernhard Schölkopf
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Papers citing "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"

37 / 37 papers shown
Title
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang
Bingcong Li
G. Giannakis
149
0
0
24 May 2025
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini
Leander Girrbach
Zeynep Akata
126
1
0
23 Mar 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
Volkan Cevher
MQ
130
5
0
07 Mar 2025
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning
Moses Ananta
Muhammad Farid Adilazuarda
Zayd Muhammad Kawakibi Zuhri
Ayu Purwarianti
Alham Fikri Aji
MQ
92
0
0
03 Feb 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
151
5
0
10 Dec 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo
Yawei Li
Tao Dai
Shu-Tao Xia
Luca Benini
MQ
51
2
0
29 Oct 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
365
6
0
25 Sep 2024
MoRe Fine-Tuning with 10x Fewer Parameters
MoRe Fine-Tuning with 10x Fewer Parameters
Wenxuan Tan
Nicholas Roberts
Tzu-Heng Huang
Jitian Zhao
John Cooper
Samuel Guo
Chengyu Duan
Frederic Sala
43
0
0
30 Aug 2024
Can Large Language Models Understand Symbolic Graphics Programs?
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu
Weiyang Liu
Haiwen Feng
Zhen Liu
Tim Z. Xiao
Katherine M. Collins
J. Tenenbaum
Adrian Weller
Michael J. Black
Bernhard Schölkopf
86
12
0
15 Aug 2024
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Yuze Zhao
Jintao Huang
Jinghan Hu
Xingjun Wang
Yunlin Mao
...
Zhikai Wu
Baole Ai
Ang Wang
Wenmeng Zhou
Yingda Chen
64
36
0
10 Aug 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu-Feng Li
Jia Li
100
2
0
27 Jul 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
75
4
0
16 Jun 2024
Segment Anything in High Quality
Segment Anything in High Quality
Lei Ke
Mingqiao Ye
Martin Danelljan
Yifan Liu
Yu-Wing Tai
Chi-Keung Tang
Feng Yu
VLM
85
322
0
02 Jun 2023
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Vladislav Lialin
Vijeta Deshpande
Anna Rumshisky
62
170
0
28 Mar 2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Towards Efficient Visual Adaption via Structural Re-parameterization
Gen Luo
Minglang Huang
Yiyi Zhou
Xiaoshuai Sun
Guannan Jiang
Zhiyu Wang
Rongrong Ji
VLM
VPVLM
26
79
0
16 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
77
4,015
1
10 Feb 2023
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
Shibo Jie
Zhi-Hong Deng
40
130
0
06 Dec 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
62
112
0
31 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
91
1,837
0
02 Aug 2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer
  Learning
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung
Jaemin Cho
Joey Tianyi Zhou
VLM
72
240
0
13 Jun 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
74
90
0
01 Apr 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
105
1,576
0
23 Mar 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
181
284
0
15 Oct 2021
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Alan Ansell
Edoardo Ponti
Anna Korhonen
Ivan Vulić
CLL
MoE
107
137
0
14 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
AAML
85
918
0
08 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
145
1,191
0
18 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi
James Henderson
Sebastian Ruder
MoE
85
481
0
08 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
468
3,952
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
182
4,209
0
01 Jan 2021
Kaleidoscope: An Efficient, Learnable Representation For All Structured
  Linear Maps
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
Tri Dao
N. Sohoni
Albert Gu
Matthew Eichhorn
Amit Blonder
Megan Leszczynski
Atri Rudra
Christopher Ré
40
47
0
29 Dec 2020
Intrinsic Dimensionality Explains the Effectiveness of Language Model
  Fine-Tuning
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
Armen Aghajanyan
Luke Zettlemoyer
Sonal Gupta
78
549
1
22 Dec 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
119
837
0
01 May 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient
  Transfer Learning
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin
Andrea Madotto
Pascale Fung
85
160
0
08 Apr 2020
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
61
30
0
28 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
63
432
0
01 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
415
24,160
0
26 Jul 2019
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
90
924
0
22 May 2017
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