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Domain Generalization: A Survey

Domain Generalization: A Survey

3 March 2021
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
    OOD
    AI4CE
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Papers citing "Domain Generalization: A Survey"

50 / 525 papers shown
Title
Accelerating Federated Learning by Selecting Beneficial Herd of Local
  Gradients
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients
Ping Luo
Xiaoge Deng
Ziqing Wen
Tao Sun
Dongsheng Li
FedML
44
0
0
25 Mar 2024
Graphs Generalization under Distribution Shifts
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
30
2
0
25 Mar 2024
Transfer CLIP for Generalizable Image Denoising
Transfer CLIP for Generalizable Image Denoising
Junting Cheng
Dong Liang
Shan Tan
VLM
35
12
0
22 Mar 2024
SETA: Semantic-Aware Token Augmentation for Domain Generalization
SETA: Semantic-Aware Token Augmentation for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
ViT
34
1
0
18 Mar 2024
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse
  Weather Conditions
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
Baolu Li
Jinlong Li
Xinyu Liu
Runsheng Xu
Zhengzhong Tu
Jiacheng Guo
Xiaopeng Li
Hongkai Yu
29
3
0
17 Mar 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi
Pourya Shamsolmoali
Rafael M. O. Cruz
Eric Granger
38
1
0
16 Mar 2024
ConDiSR: Contrastive Disentanglement and Style Regularization for Single
  Domain Generalization
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
Aleksandr Matsun
Numan Saeed
F. Maani
Mohammad Yaqub
OOD
107
1
0
14 Mar 2024
Proxy Methods for Domain Adaptation
Proxy Methods for Domain Adaptation
Katherine Tsai
Stephen R. Pfohl
Olawale Salaudeen
Nicole Chiou
Matt J. Kusner
Alexander DÁmour
Oluwasanmi Koyejo
Arthur Gretton
OOD
27
2
0
12 Mar 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
Unknown Domain Inconsistency Minimization for Domain Generalization
Seungjae Shin
Heesun Bae
Byeonghu Na
Yoon-Yeong Kim
Il-Chul Moon
25
1
0
12 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain
  Generalization in Federated Learning
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai
Jiewei Zhang
Shuaicheng Li
Song Guo
Jingcai Guo
Jun Hou
Tao Han
Xiaocheng Lu
FedML
32
14
0
11 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Jie Song
Junbo Zhao
Gang Chen
40
0
0
11 Mar 2024
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with
  Completeness Analysis
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
Andi Chen
Hua‐Lei Yin
Zeng-Bing Chen
Shengjun Wu
32
0
0
09 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang
Xin Eric Wang
Ziwei Zhang
Zhou Qin
Weigao Wen
Hui Xue
Haoyang Li
Wenwu Zhu
OOD
29
17
0
08 Mar 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For
  Tuning-Free Adaptive Domain Generalization
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization
Feng Hou
Jin Yuan
Ying Yang
Yang Liu
Yang Zhang
Cheng Zhong
Zhongchao Shi
Jianping Fan
Yong Rui
Zhiqiang He
VLM
49
1
0
05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
42
9
0
04 Mar 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure
  Models using Bayesian Neural Networks
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks
Graham Pash
M. Hassanaly
S. Yellapantula
AI4CE
37
0
0
28 Feb 2024
Generalising realisability in statistical learning theory under
  epistemic uncertainty
Generalising realisability in statistical learning theory under epistemic uncertainty
Fabio Cuzzolin
CML
40
0
0
22 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
38
2
0
20 Feb 2024
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
Zihao Tang
Zheqi Lv
Shengyu Zhang
Fei Wu
Kun Kuang
41
7
0
18 Feb 2024
Offline Training of Language Model Agents with Functions as Learnable
  Weights
Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang
Jieyu Zhang
Jiale Liu
Linxin Song
Chi Wang
Ranjay Krishna
Qingyun Wu
LLMAG
LM&Ro
AIFin
35
12
0
17 Feb 2024
Robust agents learn causal world models
Robust agents learn causal world models
Jonathan G. Richens
Tom Everitt
OOD
116
36
0
16 Feb 2024
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Shengcai Liao
Cees G. M. Snoek
OOD
VPVLM
VLM
37
8
0
15 Feb 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen
  Domain
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Yingyan Hou
Chen Qian
Lijie Wen
13
1
0
13 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization
HYPO: Hyperspherical Out-of-Distribution Generalization
Yifei Ming
Haoyue Bai
Julian Katz-Samuels
Yixuan Li
OODD
OOD
32
9
0
12 Feb 2024
Domain Generalization with Small Data
Domain Generalization with Small Data
Kecheng Chen
Elena Gal
Hong Yan
Haoliang Li
OOD
19
5
0
09 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CML
OffRL
33
2
0
05 Feb 2024
Phrase Grounding-based Style Transfer for Single-Domain Generalized
  Object Detection
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
Hao Li
Wei Wang
Cong Wang
Zhigang Luo
Xinwang Liu
KenLi Li
Xiaochun Cao
ObjD
26
0
0
02 Feb 2024
Location Agnostic Adaptive Rain Precipitation Prediction using Deep
  Learning
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
Md Shazid Islam
Md Saydur Rahman
Md Saad Ul Haque
Farhana Akter Tumpa
M. Hossain
A. Arabi
27
6
0
02 Feb 2024
Credal Learning Theory
Credal Learning Theory
Michele Caprio
Maryam Sultana
Eleni Elia
Fabio Cuzzolin
FedML
40
11
0
01 Feb 2024
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
Nicolas Lazzari
S. D. Giorgis
Aldo Gangemi
Valentina Presutti
27
4
0
01 Feb 2024
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing
  Continuous Target Shift
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
Hwanwoo Kim
Xin Zhang
Jiwei Zhao
Qinglong Tian
OOD
17
1
0
29 Jan 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and
  Underperform Out-of-Distribution Robustness
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness
Mengyao Du
Miao Zhang
Yuwen Pu
Kai Xu
Shouling Ji
Quanjun Yin
27
1
0
25 Jan 2024
Harmonized Spatial and Spectral Learning for Robust and Generalized
  Medical Image Segmentation
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
Vandan Gorade
Sparsh Mittal
Debesh Jha
Rekha Singhal
Ulas Bagci
33
3
0
18 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain
  Generalization
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Guanglin Zhou
Zhongyi Han
Shiming Chen
Biwei Huang
Liming Zhu
Tongliang Liu
Lina Yao
Kun Zhang
32
3
0
18 Jan 2024
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain
  Adaptive Nuclei Segmentation
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation
Jianan Fan
Dongnan Liu
Hang Chang
Weidong Cai
22
5
0
17 Jan 2024
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For
  Multi-Agent Environments
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments
Sean Kulinski
Nicholas R. Waytowich
James Z. Hare
David I. Inouye
20
3
0
09 Jan 2024
Dual-Channel Reliable Breast Ultrasound Image Classification Based on
  Explainable Attribution and Uncertainty Quantification
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
Shuge Lei
Haonan Hu
Desheng Sun
Huabin Zhang
Kehong Yuan
Jian Dai
Jijun Tang
Yan Tong
28
0
0
08 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
46
2
0
06 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation
  Learning in Latent Space
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
24
1
0
28 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
55
11
0
28 Dec 2023
Mixture Data for Training Cannot Ensure Out-of-distribution
  Generalization
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang
Yuxiao Luo
Qizhou Wang
Haoang Chi
Xiaofeng Chen
Bo Han
Jinyan Li
OODD
30
0
0
25 Dec 2023
Merging Vision Transformers from Different Tasks and Domains
Merging Vision Transformers from Different Tasks and Domains
Peng Ye
Chenyu Huang
Mingzhu Shen
Tao Chen
Yongqi Huang
Yuning Zhang
Wanli Ouyang
MoMe
17
11
0
25 Dec 2023
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent
  Trajectory Prediction
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
Tangwen Qian
Yile Chen
Gao Cong
Yongjun Xu
Fei Wang
27
5
0
22 Dec 2023
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
24
27
0
20 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits
  and Limits of Marginal Transfer Learning
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Jens Müller
Lars Kühmichel
Martin Rohbeck
Stefan T. Radev
Ullrich Kothe
OOD
32
0
0
15 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in
  Bioacoustics
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
Jenny Hamer
Eleni Triantafillou
B. V. Merrienboer
Stefan Kahl
Holger Klinck
Tom Denton
Vincent Dumoulin
36
14
0
12 Dec 2023
On Diversified Preferences of Large Language Model Alignment
On Diversified Preferences of Large Language Model Alignment
Dun Zeng
Yong Dai
Pengyu Cheng
Longyue Wang
Tianhao Hu
Wanshun Chen
Nan Du
Zenglin Xu
ALM
30
16
0
12 Dec 2023
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
Christian Weihsbach
Christian N. Kruse
Alexander Bigalke
Mattias P. Heinrich
29
1
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11 Dec 2023
Invariant Random Forest: Tree-Based Model Solution for OOD
  Generalization
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan Liao
Qi Wu
Xing Yan
OODD
OOD
28
2
0
07 Dec 2023
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