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Deeper, Broader and Artier Domain Generalization

Deeper, Broader and Artier Domain Generalization

9 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
    OOD
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Papers citing "Deeper, Broader and Artier Domain Generalization"

50 / 901 papers shown
Title
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance
  Between Data Subpopulations
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
Weixin Liang
Yining Mao
Yongchan Kwon
Xinyu Yang
James Zou
OODD
42
3
0
04 May 2023
Multi-Domain Learning From Insufficient Annotations
Multi-Domain Learning From Insufficient Annotations
Tahira Shehzadi
Shengcai Liu
D. Stricker
Marcus Liwicki
Muhammad Zeshan Afzal
24
1
0
04 May 2023
PGrad: Learning Principal Gradients For Domain Generalization
PGrad: Learning Principal Gradients For Domain Generalization
Zhe Wang
J. E. Grigsby
Yanjun Qi
OOD
29
10
0
02 May 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
66
18
0
27 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
Yi-Fan Zhang
Xue Wang
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OOD
17
42
0
25 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey
Synthetic Datasets for Autonomous Driving: A Survey
Zhihang Song
Zimin He
Xingyu Li
Q. Ma
RuiBo Ming
...
Huaxin Pei
Lihui Peng
Jianming Hu
D. Yao
Yan Zhang
36
38
0
24 Apr 2023
Leveraging sparse and shared feature activations for disentangled
  representation learning
Leveraging sparse and shared feature activations for disentangled representation learning
Marco Fumero
F. Wenzel
L. Zancato
Alessandro Achille
Emanuele Rodolà
Stefano Soatto
Bernhard Schölkopf
Francesco Locatello
OOD
DRL
42
22
0
17 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image
  Classification
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Shitian Zhao
Mingda Zhang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
30
7
0
16 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation
Continual Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
TTA
CLL
36
2
0
14 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for
  Generalization
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qing-sheng Yang
Hongjing Niu
Pengfei Xia
Wei Zhang
Bin Li
OOD
34
0
0
14 Apr 2023
Semantic-Aware Mixup for Domain Generalization
Semantic-Aware Mixup for Domain Generalization
C. Xu
Xinmei Tian
AAML
10
2
0
12 Apr 2023
Improved Test-Time Adaptation for Domain Generalization
Improved Test-Time Adaptation for Domain Generalization
Liang Chen
Yong Zhang
Yibing Song
Ying Shan
Lingqiao Liu
TTA
OOD
27
46
0
10 Apr 2023
Does Continual Learning Equally Forget All Parameters?
Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
CLL
KELM
39
13
0
09 Apr 2023
Meta-causal Learning for Single Domain Generalization
Meta-causal Learning for Single Domain Generalization
Jin Chen
Zhiqiang Gao
Xinxiao Wu
Jiebo Luo
OOD
31
41
0
07 Apr 2023
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Lei Qi
Dongjia Zhao
Yinghuan Shi
Xin Geng
OOD
33
0
0
06 Apr 2023
ERM++: An Improved Baseline for Domain Generalization
ERM++: An Improved Baseline for Domain Generalization
Piotr Teterwak
Kuniaki Saito
Theodoros Tsiligkaridis
Kate Saenko
Bryan A. Plummer
OOD
41
9
0
04 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization
Randomized Adversarial Style Perturbations for Domain Generalization
Taehoon Kim
Bohyung Han
AAML
35
2
0
04 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain
  Shift
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
Patrick M. Jensen
Anders B. Dahl
Carsten Gundlach
Rebecca J Engberg
H. Kjer
Vedrana Andersen Dahl
33
1
0
04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
21
0
04 Apr 2023
Progressive Random Convolutions for Single Domain Generalization
Progressive Random Convolutions for Single Domain Generalization
Seokeon Choi
Debasmit Das
Sungha Choi
Seunghan Yang
Hyunsin Park
Sungrack Yun
23
37
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
ALUM: Adversarial Data Uncertainty Modeling from Latent Model
  Uncertainty Compensation
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
16
1
0
29 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Ismail Ben Ayed
Christian Desrosiers
22
10
0
28 Mar 2023
Label-Free Liver Tumor Segmentation
Label-Free Liver Tumor Segmentation
Qixing Hu
Yixiong Chen
Junfei Xiao
Shuwen Sun
Jieneng Chen
Alan Yuille
Zongwei Zhou
VLM
30
57
0
27 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
48
26
0
24 Mar 2023
Improving Generalization with Domain Convex Game
Improving Generalization with Domain Convex Game
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
21
6
0
23 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
Towards Domain Generalization for ECG and EEG Classification: Algorithms
  and Benchmarks
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
Aristotelis Ballas
Christos Diou
OOD
32
12
0
20 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTA
OOD
32
42
0
20 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain Generalization
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
8
82
0
18 Mar 2023
Finding Competence Regions in Domain Generalization
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
21
4
0
17 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare
  Supervised Learning and Downstream Domain Adaptation
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
Hui Tang
Kui Jia
OOD
34
13
0
16 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
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OOD
AI4CE
37
26
0
13 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
33
20
0
13 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles
  Standardization
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
18
2
0
10 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain
  Adaptation
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Zhongying Deng
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
16
0
0
10 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
39
59
0
07 Mar 2023
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and
  Artificial Scenes
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes
Xu Ju
Ailing Zeng
Jianan Wang
Qian Xu
Lei Zhang
3DH
35
45
0
05 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
34
11
0
04 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
33
26
0
04 Mar 2023
Analyzing Effects of Fake Training Data on the Performance of Deep
  Learning Systems
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems
Pratinav Seth
Akshat Bhandari
Kumud Lakara
20
0
0
02 Mar 2023
Target Domain Data induces Negative Transfer in Mixed Domain Training
  with Disjoint Classes
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes
Eryk Banatt
Vickram Rajendran
Liam Packer
28
1
0
02 Mar 2023
Domain-aware Triplet loss in Domain Generalization
Domain-aware Triplet loss in Domain Generalization
Kai Guo
Brian C. Lovell
OOD
25
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
43
20
0
28 Feb 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated
  Learning
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Wang Lu
Xixu Hu
Jindong Wang
Xingxu Xie
FedML
VLM
27
52
0
27 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier
  Amplitude Approach
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
Minyoung Kim
Da Li
Timothy M. Hospedales
OOD
24
11
0
23 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
48
17
0
22 Feb 2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based
  Domain Generalization
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
Shirsha Bose
Ankit Jha
Enrico Fini
Mainak Singha
Elisa Ricci
Biplab Banerjee
VLM
42
23
0
18 Feb 2023
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