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Self-Challenging Improves Cross-Domain Generalization

Self-Challenging Improves Cross-Domain Generalization

5 July 2020
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
    OOD
ArXivPDFHTML

Papers citing "Self-Challenging Improves Cross-Domain Generalization"

50 / 164 papers shown
Title
CNNs with Multi-Level Attention for Domain Generalization
CNNs with Multi-Level Attention for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
29
6
0
02 Apr 2023
Simple Domain Generalization Methods are Strong Baselines for Open
  Domain Generalization
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization
Masashi Noguchi
Shinichi Shirakawa
VLM
AI4CE
32
5
0
31 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
27
0
0
25 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
48
26
0
24 Mar 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency
  Transform for Domain Generalization
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Jintao Guo
Na Wang
Lei Qi
Yinghuan Shi
34
33
0
21 Mar 2023
Domain Generalization via Nuclear Norm Regularization
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
30
12
0
13 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with
  Frequency for Domain Generalization
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
Sangrok Lee
Jongseong Bae
Ha Young Kim
OOD
43
26
0
04 Mar 2023
Domain-aware Triplet loss in Domain Generalization
Domain-aware Triplet loss in Domain Generalization
Kai Guo
Brian C. Lovell
OOD
33
6
0
01 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
48
20
0
28 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
44
7
0
12 Feb 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OOD
AI4CE
57
8
0
06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
29
9
0
05 Feb 2023
Causality-based Dual-Contrastive Learning Framework for Domain Generalization
Zining Chen
Weiqiu Wang
Zhaohui Hou
Aidong Men
OOD
41
1
0
22 Jan 2023
Modeling Uncertain Feature Representation for Domain Generalization
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li
Zixuan Hu
Jun Liu
Yixiao Ge
Yongxing Dai
Ling-Yu Duan
OOD
31
3
0
16 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation
Look Beyond Bias with Entropic Adversarial Data Augmentation
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
CML
35
4
0
10 Jan 2023
Domain Generalization with Correlated Style Uncertainty
Domain Generalization with Correlated Style Uncertainty
Zheyu Zhang
Bin Wang
Debesh Jha
Ugur Demir
Ulas Bagci
OOD
38
5
0
20 Dec 2022
On the Connection between Invariant Learning and Adversarial Training
  for Out-of-Distribution Generalization
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
23
7
0
18 Dec 2022
Style-Hallucinated Dual Consistency Learning: A Unified Framework for
  Visual Domain Generalization
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
34
29
0
18 Dec 2022
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
34
13
0
14 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features
Domain Generalization by Learning and Removing Domain-specific Features
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
30
41
0
14 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
38
1
0
09 Dec 2022
Rethinking Data Augmentation for Single-source Domain Generalization in
  Medical Image Segmentation
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Zixian Su
Kai Yao
Xi Yang
Qiufeng Wang
Jie Sun
Kaizhu Huang
35
63
0
27 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedML
OOD
28
38
0
25 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
Jingang Qu
T. Faney
Zehao Wang
Patrick Gallinari
Soleiman Yousef
J. D. Hemptinne
OOD
24
7
0
15 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
54
79
0
15 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu
Jindong Wang
Han Yu
Lei Huang
Xiang Zhang
Yiqiang Chen
Xingxu Xie
28
6
0
07 Nov 2022
Learning to Learn Domain-invariant Parameters for Domain Generalization
Learning to Learn Domain-invariant Parameters for Domain Generalization
Feng Hou
Yao Zhang
Yang Liu
Jin Yuan
Cheng Zhong
Yang Zhang
Zhongchao Shi
Jianping Fan
Zhiqiang He
OOD
19
3
0
04 Nov 2022
Domain Generalization through the Lens of Angular Invariance
Domain Generalization through the Lens of Angular Invariance
Yujie Jin
Xu Chu
Yasha Wang
Wenwu Zhu
OOD
10
3
0
28 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained
  Double Classifier for Better Test-Time Adaptation
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Limin Chen
TTA
29
1
0
17 Oct 2022
Improving Out-of-Distribution Generalization by Adversarial Training
  with Structured Priors
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang
Yifei Wang
Hong Zhu
Yisen Wang
OOD
22
19
0
13 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in
  Neural Networks
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli
Anshul Nasery
R. Venkatesh Babu
Praneeth Netrapalli
Prateek Jain
AAML
38
3
0
04 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
27
4
0
26 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain
  Generalization
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
50
3
0
17 Sep 2022
On-Device Domain Generalization
On-Device Domain Generalization
Kaiyang Zhou
Yuanhan Zhang
Yuhang Zang
Jingkang Yang
Chen Change Loy
Ziwei Liu
OOD
35
6
0
15 Sep 2022
Out-of-Distribution Representation Learning for Time Series
  Classification
Out-of-Distribution Representation Learning for Time Series Classification
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
OODD
OOD
37
35
0
15 Sep 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain
  Generalization
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
Simone Angarano
Mauro Martini
Francesco Salvetti
Vittorio Mazzia
Marcello Chiaberge
OOD
39
12
0
02 Sep 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
30
4
0
25 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models
Artifact-Based Domain Generalization of Skin Lesion Models
Alceu Bissoto
Catarina Barata
Eduardo Valle
Sandra Avila
MedIm
AI4CE
43
13
0
20 Aug 2022
Prompt Vision Transformer for Domain Generalization
Prompt Vision Transformer for Domain Generalization
Zangwei Zheng
Xiangyu Yue
Kai Wang
Yang You
VLM
VPVLM
MDE
32
51
0
18 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization
Adaptive Domain Generalization via Online Disagreement Minimization
X. Zhang
Ying-Cong Chen
OOD
27
5
0
03 Aug 2022
Domain Decorrelation with Potential Energy Ranking
Domain Decorrelation with Potential Energy Ranking
Sen Pei
Jiaxi Sun
Richard Yi Da Xu
Shiming Xiang
Gaofeng Meng
OOD
29
4
0
25 Jul 2022
Domain-invariant Feature Exploration for Domain Generalization
Domain-invariant Feature Exploration for Domain Generalization
Wang Lu
Jindong Wang
Haoliang Li
Yiqiang Chen
Xing Xie
OOD
35
70
0
25 Jul 2022
Domain Generalization for Activity Recognition via Adaptive Feature
  Fusion
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Xin Qin
Jindong Wang
Yiqiang Chen
Wang Lu
Xinlong Jiang
OOD
42
36
0
21 Jul 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene
  Segmentation
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
Zhun Zhong
Yuyang Zhao
G. Lee
N. Sebe
OOD
33
69
0
11 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Subeen Lee
WonJun Moon
Jae-Pil Heo
45
46
0
04 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
57
36
0
29 Jun 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
43
4
0
24 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OOD
AI4TS
27
2
0
16 Jun 2022
Modeling the Data-Generating Process is Necessary for
  Out-of-Distribution Generalization
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur
Emre Kıcıman
Amit Sharma
UQCV
OOD
30
25
0
15 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
41
2
0
13 Jun 2022
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