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Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
v1v2 (latest)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes

18 December 2024
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
ArXiv (abs)PDFHTML

Papers citing "Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes"

50 / 86 papers shown
Title
Internal Consistency and Self-Feedback in Large Language Models: A
  Survey
Internal Consistency and Self-Feedback in Large Language Models: A Survey
Xun Liang
Shichao Song
Zifan Zheng
Hanyu Wang
Qingchen Yu
...
Rong-Hua Li
Peng Cheng
Zhonghao Wang
Feiyu Xiong
Zhiyu Li
HILMLRM
162
29
0
19 Jul 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Yingtian Zou
Kenji Kawaguchi
Yingnan Liu
Jiashuo Liu
Mong Li Lee
Wynne Hsu
81
7
0
11 Mar 2024
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
85
22
0
20 Jul 2023
Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio
  Anti-spoofing
Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing
Hye-jin Shim
Jee-weon Jung
Tomi Kinnunen
65
14
0
31 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
130
34
0
28 Apr 2023
Self-Refine: Iterative Refinement with Self-Feedback
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
...
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
ReLMLRMDiffM
212
1,688
0
30 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain Generalization
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
73
95
0
18 Mar 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves
  Generalization
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Hao Zou
Peng Cui
77
41
0
03 Mar 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DVAI4CE
129
142
0
20 Jan 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
121
71
0
11 Oct 2022
Prompt Vision Transformer for Domain Generalization
Prompt Vision Transformer for Domain Generalization
Zangwei Zheng
Xiangyu Yue
Kai Wang
Yang You
VLMVPVLMMDE
126
54
0
18 Aug 2022
On the Maximum Hessian Eigenvalue and Generalization
On the Maximum Hessian Eigenvalue and Generalization
Simran Kaur
Jérémy E. Cohen
Zachary Chase Lipton
103
43
0
21 Jun 2022
Towards Understanding Sharpness-Aware Minimization
Towards Understanding Sharpness-Aware Minimization
Maksym Andriushchenko
Nicolas Flammarion
AAML
115
142
0
13 Jun 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Minyoung Kim
Da Li
S. Hu
Timothy M. Hospedales
AAML
92
72
0
10 Jun 2022
Sharpness-Aware Training for Free
Sharpness-Aware Training for Free
Jiawei Du
Daquan Zhou
Jiashi Feng
Vincent Y. F. Tan
Qiufeng Wang
AAML
103
96
0
27 May 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
208
1,654
0
23 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
118
138
0
21 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?
Are Vision Transformers Robust to Spurious Correlations?
Soumya Suvra Ghosal
Yifei Ming
Yixuan Li
ViT
71
34
0
17 Mar 2022
Surrogate Gap Minimization Improves Sharpness-Aware Training
Surrogate Gap Minimization Improves Sharpness-Aware Training
Juntang Zhuang
Boqing Gong
Liangzhe Yuan
Huayu Chen
Hartwig Adam
Nicha Dvornek
S. Tatikonda
James Duncan
Ting Liu
105
157
0
15 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li
Kan Ren
Xinyang Jiang
Yue Liu
Haipeng Zhang
Dongsheng Li
VLM
94
38
0
09 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
142
687
0
21 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
134
64
0
01 Feb 2022
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
103
135
0
18 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
182
104
0
16 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
178
958
0
08 Oct 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
146
210
0
07 Sep 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution
  Generalization
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Haoyue Bai
Fengwei Zhou
Lanqing Hong
Nanyang Ye
Shueng-Han Gary Chan
Zhenguo Li
OODUQCV
73
44
0
05 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
548
2,444
0
02 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
168
536
0
31 Aug 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
69
105
0
14 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
97
116
0
11 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of
  Invariances in Domain Generalization
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi
Jean-Christophe Gagnon-Audet
Touraj Laleh
Mojtaba Faramarzi
Kartik Ahuja
Irina Rish
85
61
0
04 Jun 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
OODSSL
137
273
0
20 Apr 2021
Deep Stable Learning for Out-Of-Distribution Generalization
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang
Peng Cui
Renzhe Xu
Linjun Zhou
Yue He
Zheyan Shen
OOD
90
259
0
16 Apr 2021
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
149
763
0
05 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
280
1,240
0
02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,053
0
26 Feb 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
126
291
0
23 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
151
131
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
311
460
0
17 Feb 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
281
128
0
04 Jan 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature
  Representation and Semantic Augmentation
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
Haoyue Bai
Rui Sun
Lanqing Hong
Fengwei Zhou
Nanyang Ye
Han-Jia Ye
Shueng-Han Gary Chan
Zhenguo Li
OODOODDCML
96
79
0
17 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
744
41,796
0
22 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
236
1,361
0
03 Oct 2020
Learning Soft Labels via Meta Learning
Learning Soft Labels via Meta Learning
Nidhi Vyas
Shreyas Saxena
T. Voice
NoLa
83
30
0
20 Sep 2020
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
86
187
0
01 Sep 2020
Learning to Learn with Variational Information Bottleneck for Domain
  Generalization
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDLOOD
80
169
0
15 Jul 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
102
636
0
05 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
139
1,159
0
02 Jul 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
282
3,016
0
09 Jun 2020
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