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Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

29 May 2024
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya Zhang
Yanfeng Wang
ArXivPDFHTML

Papers citing "Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts"

20 / 20 papers shown
Title
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
Youngjun Song
Youngsik Hwang
Jonghun Lee
Heechang Lee
Dong-Young Lim
AAML
95
0
0
30 Mar 2025
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun
Li Shen
Dacheng Tao
FedML
69
0
0
27 Sep 2024
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain Generalization
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
41
92
0
18 Mar 2023
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation
  Approach
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Peng Mi
Li Shen
Tianhe Ren
Yiyi Zhou
Xiaoshuai Sun
Rongrong Ji
Dacheng Tao
AAML
89
71
0
11 Oct 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
457
2,380
0
02 Sep 2021
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
112
269
0
20 Apr 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
182
1,215
0
02 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning
  of Deep Neural Networks
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon
Jeongseop Kim
Hyunseong Park
I. Choi
79
289
0
23 Feb 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
273
449
0
17 Feb 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
180
1,342
0
03 Oct 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain
  Generalization
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Shujun Wang
Lequan Yu
Caizi Li
Chi-Wing Fu
Pheng-Ann Heng
OOD
55
192
0
18 Jul 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
99
695
0
29 Oct 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
64
385
0
27 May 2019
Unified Deep Supervised Domain Adaptation and Generalization
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian
Marco Piccirilli
Donald Adjeroh
Gianfranco Doretto
OOD
86
786
0
28 Sep 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
121
2,039
0
22 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
95
812
0
31 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
798
11,860
0
09 Mar 2017
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari
A. Choromańska
Stefano Soatto
Yann LeCun
Carlo Baldassi
C. Borgs
J. Chayes
Levent Sagun
R. Zecchina
ODL
92
773
0
06 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
388
2,934
0
15 Sep 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
88
3,144
0
06 Jul 2016
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