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Domain Generalization Using a Mixture of Multiple Latent Domains

Domain Generalization Using a Mixture of Multiple Latent Domains

AAAI Conference on Artificial Intelligence (AAAI), 2019
18 November 2019
Toshihiko Matsuura
Tatsuya Harada
    OOD
ArXiv (abs)PDFHTML

Papers citing "Domain Generalization Using a Mixture of Multiple Latent Domains"

50 / 178 papers shown
Meta Adaptive Task Sampling for Few-Domain Generalization
Meta Adaptive Task Sampling for Few-Domain Generalization
Zheyan Shen
Han Yu
Peng Cui
Tianyu Wang
Xingxuan Zhang
Linjun Zhou
Furui Liu
OOD
115
1
0
25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Han Yu
Xingxuan Zhang
Renzhe Xu
Tianyu Wang
Yue He
Peng Cui
OOD
329
18
0
24 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence
Feature-aligned N-BEATS with Sinkhorn divergenceInternational Conference on Learning Representations (ICLR), 2023
Joon-Young Lee
Myeongho Jeon
Myung-joo Kang
Kyung-soon Park
AI4TS
295
2
0
24 May 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain GeneralizationInternational Conference on Machine Learning (ICML), 2023
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
242
24
0
27 Apr 2023
Meta-causal Learning for Single Domain Generalization
Meta-causal Learning for Single Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Jin Chen
Zhiqiang Gao
Xinxiao Wu
Jiebo Luo
OOD
193
65
0
07 Apr 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 GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Jintao Guo
Na Wang
Lei Qi
Yinghuan Shi
291
61
0
21 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 IssuesIEEE Communications Surveys and Tutorials (COMST), 2023
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OODAI4CE
243
47
0
13 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Adaptive Texture Filtering for Single-Domain Generalized SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinhui Li
Mingjiang Li
Yaxing Wang
Chuan-Xian Ren
Xiaojie Guo
228
6
0
06 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 GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Sangrok Lee
Jongseong Bae
Ha Young Kim
OOD
267
49
0
04 Mar 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain
  Projection and Multi-Level Contrastive Learning
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Liwei Yang
Xiang Gu
Jian Sun
188
19
0
03 Mar 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain
  Adaptation
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Zihao Xu
Guang-Yuan Hao
Hao He
Hao Wang
672
23
0
06 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained
  Models
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Byunggyu Lew
Donghyun Son
Buru Chang
203
12
0
03 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
188
2
0
02 Feb 2023
Domain-Generalizable Multiple-Domain Clustering
Domain-Generalizable Multiple-Domain Clustering
Amit Rozner
Barak Battash
Lior Wolf
Ofir Lindenbaum
SSLOOD
197
11
0
31 Jan 2023
Causality-based Dual-Contrastive Learning Framework for Domain Generalization
Zining Chen
Weiqiu Wang
Zhicheng Zhao
Aidong Men
OOD
213
1
0
22 Jan 2023
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge ManagementIEEE Robotics and Automation Letters (RA-L), 2022
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
TTA
300
7
0
16 Dec 2022
Domain-General Crowd Counting in Unseen Scenarios
Domain-General Crowd Counting in Unseen ScenariosAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhipeng Du
Jiankang Deng
Miaojing Shi
OOD
283
46
0
05 Dec 2022
Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Yufan Liao
Qi Wu
Zhaodi Wu
Xing Yan
177
4
0
18 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
311
10
0
15 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and
  Generalization
Adversarial and Random Transformations for Robust Domain Adaptation and GeneralizationItalian National Conference on Sensors (INS), 2022
Liang Xiao
Jiaolong Xu
Dawei Zhao
Erke Shang
Qi Zhu
Bin Dai
OOD
237
6
0
13 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu
Yongfeng Zhang
Han Yu
Lei Huang
Xiang Zhang
Yiqiang Chen
Xingxu Xie
285
13
0
07 Nov 2022
Learning to Augment via Implicit Differentiation for Domain
  Generalization
Learning to Augment via Implicit Differentiation for Domain GeneralizationBritish Machine Vision Conference (BMVC), 2022
Ting-Hsiang Wang
Da Li
Kaiyang Zhou
Tao Xiang
Yi-Zhe Song
131
2
0
25 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Chaoqi Chen
Luyao Tang
Yifan Zhang
Gangming Zhao
Yue Huang
Yizhou Yu
236
38
0
14 Oct 2022
Improving the Reliability for Confidence Estimation
Improving the Reliability for Confidence EstimationEuropean Conference on Computer Vision (ECCV), 2022
Haoxuan Qu
Yanchao Li
Lin Geng Foo
Jason Kuen
Jiuxiang Gu
Jun Liu
UQCV
141
10
0
13 Oct 2022
A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
217
7
0
10 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
Constrained Maximum Cross-Domain Likelihood for Domain GeneralizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
184
9
0
09 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-ExpertsNeural Information Processing Systems (NeurIPS), 2022
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
325
53
0
08 Oct 2022
Domain Generalization via Contrastive Causal Learning
Domain Generalization via Contrastive Causal Learning
Qiaowei Miao
Junkun Yuan
Kun Kuang
BDLOOD
241
15
0
06 Oct 2022
TripleE: Easy Domain Generalization via Episodic Replay
TripleE: Easy Domain Generalization via Episodic Replay
Xuelong Li
Hongyu Ren
Huifeng Yao
Ziwei Liu
169
0
0
04 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
216
3
0
04 Oct 2022
Bootstrap Generalization Ability from Loss Landscape Perspective
Bootstrap Generalization Ability from Loss Landscape Perspective
Huanran Chen
Shitong Shao
Ziyi Wang
Zirui Shang
Jin Chen
Xiaofeng Ji
Xinxiao Wu
OOD
323
22
0
18 Sep 2022
Out-of-Distribution Representation Learning for Time Series
  Classification
Out-of-Distribution Representation Learning for Time Series ClassificationInternational Conference on Learning Representations (ICLR), 2022
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
OODDOOD
279
56
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 GeneralizationPattern Recognition (Pattern Recogn.), 2022
Simone Angarano
Mauro Martini
Francesco Salvetti
Vittorio Mazzia
Marcello Chiaberge
OOD
344
18
0
02 Sep 2022
Delving into the Continuous Domain Adaptation
Delving into the Continuous Domain AdaptationACM Multimedia (ACM MM), 2022
Yinsong Xu
Zhuqing Jiang
Aidong Men
Yang Liu
Qingchao Chen
167
6
0
28 Aug 2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Take One Gram of Neural Features, Get Enhanced Group Robustness
Simon Roburin
Charles Corbière
Gilles Puy
Nicolas Thome
Matthieu Aubry
Renaud Marlet
Patrick Pérez
OOD
229
0
0
26 Aug 2022
A diverse large-scale building dataset and a novel plug-and-play domain
  generalization method for building extraction
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extractionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
M. Luo
Shunping Ji
Shiqing Wei
277
32
0
22 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and PerspectivesAPSIPA Transactions on Signal and Information Processing (TASIP), 2022
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
Xiaofeng Liu
Je-Won Kang
Jonghye Woo
OOD
262
281
0
15 Aug 2022
The Causal Structure of Domain Invariant Supervised Representation
  Learning
The Causal Structure of Domain Invariant Supervised Representation Learning
Zihao Wang
Victor Veitch
CMLOOD
347
4
0
15 Aug 2022
Semantic Data Augmentation based Distance Metric Learning for Domain
  Generalization
Semantic Data Augmentation based Distance Metric Learning for Domain GeneralizationACM Multimedia (ACM MM), 2022
Mengzhu Wang
Jianlong Yuan
Qi Qian
Zhibin Wang
Hao Li
325
39
0
02 Aug 2022
Domain Decorrelation with Potential Energy Ranking
Domain Decorrelation with Potential Energy RankingAAAI Conference on Artificial Intelligence (AAAI), 2022
Sen Pei
Jiaxi Sun
Richard Yi Da Xu
Shiming Xiang
Gaofeng Meng
OOD
397
4
0
25 Jul 2022
Domain-invariant Feature Exploration for Domain Generalization
Domain-invariant Feature Exploration for Domain Generalization
Wang Lu
Yongfeng Zhang
Haoliang Li
Yiqiang Chen
Xing Xie
OOD
290
119
0
25 Jul 2022
Domain Generalization for Activity Recognition via Adaptive Feature
  Fusion
Domain Generalization for Activity Recognition via Adaptive Feature FusionACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Xin Qin
Yongfeng Zhang
Yiqiang Chen
Wang Lu
Xinlong Jiang
OOD
254
50
0
21 Jul 2022
Domain Agnostic Few-shot Learning for Speaker Verification
Domain Agnostic Few-shot Learning for Speaker VerificationInterspeech (Interspeech), 2022
Seunghan Yang
Debasmit Das
Jang Hyun Cho
Hyoungwoo Park
Sungrack Yun
OOD
165
7
0
28 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
454
4
0
24 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Junchi Yu
Jian Liang
Xiao-Yu Zhang
OOD
200
14
0
19 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series ClassificationInternational Conference on Pattern Recognition (ICPR), 2022
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OODAI4TS
264
2
0
16 Jun 2022
Localized Adversarial Domain Generalization
Localized Adversarial Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022
Wei-wei Zhu
Le Lu
Jing Xiao
Mei Han
Jiebo Luo
Adam P. Harrison
OOD
217
33
0
09 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
222
21
0
28 Apr 2022
Causal Transportability for Visual Recognition
Causal Transportability for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2022
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CMLOODBDL
278
40
0
26 Apr 2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in
  Semantic Segmentation
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
A. Saporta
Arthur Douillard
Tuan-Hung Vu
Patrick Pérez
Matthieu Cord
CLL
223
23
0
25 Apr 2022
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