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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"

36 / 86 papers shown
Title
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.1K
42,651
0
28 May 2020
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
177
808
0
02 May 2020
Pretrained Transformers Improve Out-of-Distribution Robustness
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks
Xiaoyuan Liu
Eric Wallace
Adam Dziedzic
R. Krishnan
Basel Alomair
OOD
221
436
0
13 Apr 2020
Efficient Domain Generalization via Common-Specific Low-Rank
  Decomposition
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
82
219
0
28 Mar 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
346
945
0
02 Mar 2020
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
152
612
0
04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
112
1,250
0
20 Nov 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
97
62
0
25 Oct 2019
Human uncertainty makes classification more robust
Human uncertainty makes classification more robust
Joshua C. Peterson
Ruairidh M. Battleday
Thomas Griffiths
Olga Russakovsky
OOD
72
306
0
19 Aug 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
266
2,249
0
05 Jul 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
221
1,960
0
06 Jun 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
137
464
0
02 May 2019
Feature-Critic Networks for Heterogeneous Domain Generalization
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li
Yongxin Yang
Wei Zhou
Timothy M. Hospedales
OOD
112
255
0
31 Jan 2019
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
191
1,813
0
04 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.9K
95,554
0
11 Oct 2018
Domain Generalization via Conditional Invariant Representation
Domain Generalization via Conditional Invariant Representation
Ya Li
Biwei Huang
Xinmei Tian
Tongliang Liu
Dacheng Tao
AI4CEOOD
144
262
0
23 Jul 2018
Recognition in Terra Incognita
Recognition in Terra Incognita
Sara Beery
Grant Van Horn
Pietro Perona
107
854
0
13 Jul 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
126
788
0
30 May 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
189
1,672
0
14 Mar 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
182
2,028
0
10 Feb 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
291
1,901
0
28 Dec 2017
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
102
286
0
21 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit
Ron Meir
BDLMLT
73
176
0
03 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
323
9,831
0
25 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
129
1,436
0
10 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
209
1,454
0
09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
162
2,060
0
22 Jun 2017
Deep Learning for Environmentally Robust Speech Recognition: An Overview
  of Recent Developments
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang
Jürgen T. Geiger
Jouni Pohjalainen
A. Mousa
Wenyu Jin
Björn Schuller
75
308
0
30 May 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
128
820
0
31 Mar 2017
Deep Learning applied to NLP
Deep Learning applied to NLP
Marc Moreno Lopez
Jugal Kalita
VLM
51
162
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
120
775
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
559
2,947
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
111
3,182
0
06 Jul 2016
Training Recurrent Neural Networks by Diffusion
Training Recurrent Neural Networks by Diffusion
H. Mobahi
ODL
76
46
0
16 Jan 2016
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
GANOOD
533
9,544
0
28 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.4K
150,597
0
22 Dec 2014
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