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Uncertainty Modeling for Out-of-Distribution Generalization

Uncertainty Modeling for Out-of-Distribution Generalization

8 February 2022
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
    OODD
    OOD
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Papers citing "Uncertainty Modeling for Out-of-Distribution Generalization"

50 / 100 papers shown
Title
Introspective Deep Metric Learning
Introspective Deep Metric Learning
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
30
12
0
11 Sep 2023
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus
  Segmentation
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Shengcong Chen
Changxing Ding
Dacheng Tao
Hao Chen
25
1
0
01 Sep 2023
SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error
  Estimation
SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error Estimation
T. Scargill
Ying Chen
Tian-ran Hu
M. Gorlatova
17
3
0
31 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in
  Entropy Minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
Jungsoo Lee
Debasmit Das
Jaegul Choo
Sungha Choi
TTA
VLM
43
26
0
14 Aug 2023
A Novel Cross-Perturbation for Single Domain Generalization
A Novel Cross-Perturbation for Single Domain Generalization
Dongjia Zhao
Lei Qi
Xiao Shi
Yinghuan Shi
Xin Geng
28
2
0
02 Aug 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
...
Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
28
13
0
27 Jul 2023
NormAUG: Normalization-guided Augmentation for Domain Generalization
NormAUG: Normalization-guided Augmentation for Domain Generalization
Lei Qi
Hongpeng Yang
Yinghuan Shi
Xin Geng
OOD
33
11
0
25 Jul 2023
Phase Matching for Out-of-Distribution Generalization
Phase Matching for Out-of-Distribution Generalization
Chengming Hu
Ye Du
Rui Wang
Hao Chen
OOD
28
0
0
24 Jul 2023
Cross Contrasting Feature Perturbation for Domain Generalization
Cross Contrasting Feature Perturbation for Domain Generalization
Chenming Li
Daoan Zhang
Wen-Fong Huang
Jiang Zhang
OOD
26
17
0
24 Jul 2023
Prompting Diffusion Representations for Cross-Domain Semantic
  Segmentation
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Hanqi Sun
Julio Mangas
Luc Van Gool
DiffM
VLM
31
22
0
05 Jul 2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain
  Generalized Object Detection
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
Zhijie Rao
Jingcai Guo
Luyao Tang
Yue Huang
Xinghao Ding
Song Guo
25
16
0
04 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
46
10
0
02 Jul 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain
  Generalization
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jun-Gyu Park
Dong-Jun Han
Soyeong Kim
Jaekyun Moon
OOD
TTA
16
12
0
08 Jun 2023
Treasure in Distribution: A Domain Randomization based Multi-Source
  Domain Generalization for 2D Medical Image Segmentation
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation
Ziyang Chen
Yongsheng Pan
Yiwen Ye
Hengfei Cui
Yong-quan Xia
OOD
31
20
0
31 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
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation
Yu Tian
Mingjie Zhu
Jiachi Luo
Song Li
26
0
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
24
46
0
10 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
31
0
0
06 Apr 2023
Domain Generalization with Adversarial Intensity Attack for Medical
  Image Segmentation
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Zheyu Zhang
Bin Wang
Lanhong Yao
Ugur Demir
Debesh Jha
I. Turkbey
Boqing Gong
Ulas Bagci
AAML
MedIm
OOD
32
11
0
05 Apr 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
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
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
44
0
20 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
EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
Jun S. Song
Jungsoo Lee
In So Kweon
Sungha Choi
TTA
36
83
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
43
5
0
03 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot
  Learning
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Yugang Jiang
30
31
0
18 Feb 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised
  Video Anomaly Detection
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Hang Zhou
Junqing Yu
Wei Yang
22
64
0
10 Feb 2023
FedFA: Federated Feature Augmentation
FedFA: Federated Feature Augmentation
Tianfei Zhou
E. Konukoglu
OOD
FedML
25
28
0
30 Jan 2023
Adversarial Style Augmentation for Domain Generalization
Adversarial Style Augmentation for Domain Generalization
Yabin Zhang
Bin Deng
Ruihuang Li
Kui Jia
Lei Zhang
AAML
OOD
18
14
0
30 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
29
3
0
16 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
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
47
24
0
02 Dec 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
17
3
0
04 Nov 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
29
32
0
18 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 Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
37
31
0
14 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao Wang
C. Yuan
21
3
0
11 Oct 2022
Attention Diversification for Domain Generalization
Attention Diversification for Domain Generalization
Rang Meng
Xianfeng Li
Weijie Chen
Shicai Yang
Jie Song
Xinchao Wang
Lei Zhang
Mingli Song
Di Xie
Shiliang Pu
23
39
0
09 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
16
3
0
09 Oct 2022
Style Interleaved Learning for Generalizable Person Re-identification
Style Interleaved Learning for Generalizable Person Re-identification
Wentao Tan
Changxing Ding
Pengfei Wang
Biwei Huang
Kui Jia
OOD
27
20
0
07 Jul 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online
  Handwriting Recognition with Domain Shift
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
31
10
0
17 Jun 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image
  Segmentation
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
Cheng Chen
Zeju Li
Cheng Ouyang
Matthew Sinclair
Wenjia Bai
Daniel Rueckert
OOD
29
30
0
02 Jun 2022
Feature-Distribution Perturbation and Calibration for Generalized Person
  ReID
Feature-Distribution Perturbation and Calibration for Generalized Person ReID
Qilei Li
Jiabo Huang
Jian Hu
S. Gong
OOD
27
3
0
23 May 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from
  Multi-domains
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Haiyang Yang
Meilin Chen
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Wanli Ouyang
26
16
0
10 May 2022
Semi-Supervised Domain Generalization with Evolving Intermediate Domain
Semi-Supervised Domain Generalization with Evolving Intermediate Domain
Luojun Lin
Han Xie
Zhishu Sun
Weijie Chen
Wenxi Liu
Yuanlong Yu
Lei Zhang
21
10
0
19 Nov 2021
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OOD
DRL
22
24
0
13 Sep 2021
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
49
189
0
25 Jul 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
137
273
0
16 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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