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Domain Generalization via Model-Agnostic Learning of Semantic Features

Domain Generalization via Model-Agnostic Learning of Semantic Features

Neural Information Processing Systems (NeurIPS), 2019
29 October 2019
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
    OOD
ArXiv (abs)PDFHTML

Papers citing "Domain Generalization via Model-Agnostic Learning of Semantic Features"

50 / 434 papers shown
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to
  Descendant Models
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
214
18
0
03 May 2023
PGrad: Learning Principal Gradients For Domain Generalization
PGrad: Learning Principal Gradients For Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zhe Wang
J. E. Grigsby
Yanjun Qi
OOD
198
18
0
02 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
Domain Generalization for Mammographic Image Analysis with Contrastive
  Learning
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li
Zhiming Cui
Lichi Zhang
Sheng Wang
Chenjin Lei
...
Yajia Gu
Zaiyi Liu
Chunling Liu
Dinggang Shen
Jie‐Zhi Cheng
572
3
0
20 Apr 2023
Semantic-Aware Mixup for Domain Generalization
Semantic-Aware Mixup for Domain GeneralizationIEEE International Joint Conference on Neural Network (IJCNN), 2023
C. Xu
Xinmei Tian
AAML
151
3
0
12 Apr 2023
Improved Test-Time Adaptation for Domain Generalization
Improved Test-Time Adaptation for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Liang Chen
Yong Zhang
Yibing Song
Ying Shan
Lingqiao Liu
TTAOOD
282
67
0
10 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
Supervised Contrastive Learning with Heterogeneous Similarity for
  Distribution Shifts
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts
Takuro Kutsuna
89
1
0
07 Apr 2023
Progressive Random Convolutions for Single Domain Generalization
Progressive Random Convolutions for Single Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Seokeon Choi
Debasmit Das
Sungha Choi
Seunghan Yang
Hyunsin Park
Sungrack Yun
276
53
0
02 Apr 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
Fair-CDA: Continuous and Directional Augmentation for Group FairnessAAAI Conference on Artificial Intelligence (AAAI), 2023
Ruijin Sun
Fengwei Zhou
Zhenhua Dong
Chuanlong Xie
Lanqing Hong
Jiawei Li
Rui-Xun Zhang
Zerui Li
Zhenguo Li
189
3
0
01 Apr 2023
Are Data-driven Explanations Robust against Out-of-distribution Data?
Are Data-driven Explanations Robust against Out-of-distribution Data?Computer Vision and Pattern Recognition (CVPR), 2023
Tang Li
Fengchun Qiao
Mengmeng Ma
Xiangkai Peng
OODDOOD
243
15
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 LearningIEEE International Conference on Computer Vision (ICCV), 2023
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
263
11
0
28 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution ShiftIEEE International Conference on Computer Vision (ICCV), 2023
T. Cao
Jiawen Zhu
Guansong Pang
240
46
0
24 Mar 2023
Improving Generalization with Domain Convex Game
Improving Generalization with Domain Convex GameComputer Vision and Pattern Recognition (CVPR), 2023
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
199
8
0
23 Mar 2023
Test-time Detection and Repair of Adversarial Samples via Masked
  Autoencoder
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder
Yun-Yun Tsai
Ju-Chin Chao
Albert Wen
Zhaoyuan Yang
Chengzhi Mao
Tapan Shah
Junfeng Yang
AAML
225
3
0
22 Mar 2023
Texture Learning Domain Randomization for Domain Generalized
  Segmentation
Texture Learning Domain Randomization for Domain Generalized SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Sunghwan Kim
Dae-Hwan Kim
Hoseong Kim
358
34
0
21 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTAOOD
305
59
0
20 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
285
143
0
18 Mar 2023
Domain Generalization via Nuclear Norm Regularization
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
269
18
0
13 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
543
39
0
09 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
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and SolutionsInternational Conference on Learning Representations (ICLR), 2023
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
197
14
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
BayeSeg: Bayesian Modeling for Medical Image Segmentation with
  Interpretable Generalizability
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
Yuxin Li
Hang Zhou
Yibo Gao
Xiahai Zhuang
OOD
321
79
0
03 Mar 2023
Towards Domain Generalization for Multi-view 3D Object Detection in
  Bird-Eye-View
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-ViewComputer Vision and Pattern Recognition (CVPR), 2023
Shuo Wang
Xinhai Zhao
Haiting Xu
Zehui Chen
Dameng Yu
Jiahao Chang
Zhen Yang
Feng Zhao
211
31
0
03 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts
Learning to Adapt to Online Streams with Distribution Shifts
Chenyan Wu
Yimu Pan
Yandong Li
James Z. Wang
TTA
154
3
0
02 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual PerceptionNeural Information Processing Systems (NeurIPS), 2023
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLMVPVLM
343
20
0
01 Mar 2023
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware
  Predictions and Transfer Learning
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
Andrea Rossi
Andrea Visentin
Diego Carraro
Steven D. Prestwich
Kenneth N. Brown
184
5
0
24 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild WorldInternational Conference on Learning Representations (ICLR), 2023
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Zhuliang Yu
TTA
391
399
0
24 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier
  Amplitude Approach
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude ApproachInternational Conference on Learning Representations (ICLR), 2023
Minyoung Kim
Da Li
Timothy M. Hospedales
OOD
163
16
0
23 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
238
22
0
22 Feb 2023
Learning to Generalize Provably in Learning to Optimize
Learning to Generalize Provably in Learning to OptimizeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Junjie Yang
Tianlong Chen
Mingkang Zhu
Fengxiang He
Dacheng Tao
Yitao Liang
Zinan Lin
226
10
0
22 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViTMedIm
265
317
0
19 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
Training Semantic Segmentation on Heterogeneous Datasets
Training Semantic Segmentation on Heterogeneous Datasets
Panagiotis Meletis
Gijs Dubbelman
190
2
0
18 Jan 2023
CLIP the Gap: A Single Domain Generalization Approach for Object
  Detection
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Vidit Vidit
Martin Engilberge
Mathieu Salzmann
VLMObjD
254
136
0
13 Jan 2023
Calibration-Free Driver Drowsiness Classification based on
  Manifold-Level Augmentation
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationBalkan Conference in Informatics (BCI), 2022
Dong-Young Kim
Dong-Kyun Han
Hyejeon Shin
156
3
0
14 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features
Domain Generalization by Learning and Removing Domain-specific FeaturesNeural Information Processing Systems (NeurIPS), 2022
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
212
58
0
14 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution
  Generalisation
Causal Inference via Style Transfer for Out-of-distribution GeneralisationKnowledge Discovery and Data Mining (KDD), 2022
Toan Nguyen
Kien Do
D. Nguyen
Bao Duong
T. Nguyen
CMLOODDOOD
217
15
0
06 Dec 2022
Stable Learning via Sparse Variable Independence
Stable Learning via Sparse Variable IndependenceAAAI Conference on Artificial Intelligence (AAAI), 2022
Han Yu
Peng Cui
Yue He
Zheyan Shen
Yong Lin
Renzhe Xu
Xingxuan Zhang
OOD
178
21
0
02 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2022
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
406
47
0
02 Dec 2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2022
Jiajin Zhang
Hanqing Chao
Amit Dhurandhar
Pin-Yu Chen
A. Tajer
Yangyang Xu
Pingkun Yan
OODAAML
216
16
0
01 Dec 2022
Direct-Effect Risk Minimization for Domain Generalization
Direct-Effect Risk Minimization for Domain Generalization
Yuhui Li
Zejia Wu
Chao Zhang
Hongyang R. Zhang
OOD
327
0
0
26 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain GeneralizationEuropean Conference on Computer Vision (ECCV), 2022
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedMLOOD
195
48
0
25 Nov 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Mario Döbler
Robert A. Marsden
Bin Yang
OODTTA
275
118
0
23 Nov 2022
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for
  Generalizable Medical Image Segmentation
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Ran Gu
Guotai Wang
Jiangshan Lu
Jingyang Zhang
Wenhui Lei
...
Wenjun Liao
Shichuan Zhang
Kang Li
Dimitris N. Metaxas
Shaoting Zhang
MedIm
209
51
0
22 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
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 PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Yongfeng Zhang
Xingxu Xie
Yue Zhang
ELM
636
98
0
15 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided
  Contrastive Learning
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive LearningIEEE Transactions on Image Processing (IEEE TIP), 2022
Zichen Liu
Chris Xing Tian
Haoliang Li
Shiqi Wang
332
2
0
13 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
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