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SWAD: Domain Generalization by Seeking Flat Minima
v1v2v3v4 (latest)

SWAD: Domain Generalization by Seeking Flat Minima

17 February 2021
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
    MoMe
ArXiv (abs)PDFHTMLGithub (163★)

Papers citing "SWAD: Domain Generalization by Seeking Flat Minima"

50 / 77 papers shown
Title
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLLMoMe
112
0
0
03 Apr 2025
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
108
0
0
30 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
161
0
0
18 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
169
0
0
09 Mar 2025
Single Domain Generalization with Adversarial Memory
Hao Yan
Marzi Heidari
Yuhong Guo
377
0
0
08 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
588
1
0
27 Feb 2025
1bit-Merging: Dynamic Quantized Merging for Large Language Models
1bit-Merging: Dynamic Quantized Merging for Large Language Models
Shuqi Liu
Yuxuan Yao
Bowei He
Zehua Liu
Xiongwei Han
Mingxuan Yuan
Han Wu
Linqi Song
MoMeMQ
126
2
0
15 Feb 2025
When, Where and Why to Average Weights?
When, Where and Why to Average Weights?
Niccolò Ajroldi
Antonio Orvieto
Jonas Geiping
MoMe
257
0
0
10 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
Binchi Zhang
Zaiyi Zheng
Zhengzhang Chen
Wenlin Yao
191
1
0
01 Feb 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
185
5
0
28 Jan 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Sahar Dastani Oghani
Milad Cheraghalikhani
David Osowiech
Farzad Beizaee
G. A. V. Hakim
Ismail ben Ayed
Christian Desrosiers
3DPCTTA
119
1
0
31 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
472
1
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Zhaoyu Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
401
1
0
16 Dec 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODDCML
155
0
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
430
8
0
25 Sep 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
134
0
0
01 Jul 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng
Junbiao Pang
Baochang Zhang
112
1
0
12 Jun 2024
AdaFisher: Adaptive Second Order Optimization via Fisher Information
AdaFisher: Adaptive Second Order Optimization via Fisher Information
Damien Martins Gomes
Yanlei Zhang
Eugene Belilovsky
Guy Wolf
Mahdi S. Hosseini
ODL
153
3
0
26 May 2024
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Junyu Gao
Da Zhang
Qiyu Wang
Zhiyuan Zhao
Xuelong Li
76
0
0
22 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Talal Alrawajfeh
Arno Solin
102
0
0
11 Apr 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
89
2
0
01 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILMAAML
144
2
0
27 Feb 2024
Diverse Target and Contribution Scheduling for Domain Generalization
Diverse Target and Contribution Scheduling for Domain Generalization
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
135
8
0
28 Sep 2023
Improving Multi-task Learning via Seeking Task-based Flat Regions
Improving Multi-task Learning via Seeking Task-based Flat Regions
Hoang Phan
Lam C. Tran
Ngoc N. Tran
Nhat Ho
Tuan Truong
Qi Lei
Nhat Ho
Dinh Q. Phung
Trung Le
203
11
0
24 Nov 2022
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
141
759
0
05 Apr 2021
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
65
89
0
09 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
192
1,358
0
03 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup
Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang
Haoliang Li
Alex C. Kot
OOD
55
144
0
11 Sep 2020
Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
OOD
79
206
0
28 Aug 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
69
194
0
18 Jul 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
93
632
0
05 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
88
1,156
0
02 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
347
1,751
0
29 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
Aleksander Madry
143
387
0
17 Jun 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
321
938
0
02 Mar 2020
Improve Unsupervised Domain Adaptation with Mixup Training
Improve Unsupervised Domain Adaptation with Mixup Training
Shen Yan
Huan Song
Nanxiang Li
Lincan Zou
Liu Ren
89
234
0
03 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
124
320
0
16 Dec 2019
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
139
610
0
04 Dec 2019
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
57
447
0
04 Dec 2019
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
110
700
0
29 Oct 2019
Reducing Domain Gap by Reducing Style Bias
Reducing Domain Gap by Reducing Style Bias
Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
67
61
0
25 Oct 2019
Diametrical Risk Minimization: Theory and Computations
Diametrical Risk Minimization: Theory and Computations
Matthew Norton
J. Royset
55
19
0
24 Oct 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
382
281
0
07 Oct 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
99
449
0
17 Jul 2019
Learning to Optimize Domain Specific Normalization for Domain
  Generalization
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo
Yumin Suh
Dongwan Kim
Geeho Kim
Jongwoo Han
Bohyung Han
AI4CE
86
246
0
09 Jul 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,241
0
05 Jul 2019
Does Object Recognition Work for Everyone?
Does Object Recognition Work for Everyone?
Terrance Devries
Ishan Misra
Changhan Wang
Laurens van der Maaten
104
265
0
06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
620
4,798
0
13 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
191
3,445
0
28 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles
Domain Generalization by Solving Jigsaw Puzzles
Fabio Maria Carlucci
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
69
814
0
16 Mar 2019
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