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Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization

21 July 2024
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
    OOD
ArXivPDFHTML

Papers citing "Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization"

7 / 7 papers shown
Title
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
112
85
0
22 Oct 2023
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
186
128
0
19 May 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
422
0
17 Feb 2021
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
127
268
0
16 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
201
402
0
12 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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