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In Search of Lost Domain Generalization

In Search of Lost Domain Generalization

2 July 2020
Ishaan Gulrajani
David Lopez-Paz
    OOD
ArXivPDFHTML

Papers citing "In Search of Lost Domain Generalization"

50 / 218 papers shown
Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
K. Wang
Bo Li
31
0
0
12 May 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
Mainak Singha
Subhankar Roy
Sarthak Mehrotra
Ankit Jha
Moloud Abdar
Biplab Banerjee
Elisa Ricci
VLM
VPVLM
110
0
0
29 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
62
1
0
24 Apr 2025
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
Vivian Lin
Insup Lee
33
0
0
18 Apr 2025
Partial Transportability for Domain Generalization
Partial Transportability for Domain Generalization
Kasra Jalaldoust
Alexis Bellot
Elias Bareinboim
OOD
71
5
0
30 Mar 2025
Severing Spurious Correlations with Data Pruning
Severing Spurious Correlations with Data Pruning
Varun Mulchandani
Jung-Eun Kim
118
0
0
24 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
104
0
0
21 Mar 2025
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
74
1
0
19 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
87
0
0
09 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments
Hanyu Duan
Yi Yang
Ahmed Abbasi
K. Tam
OOD
84
0
0
05 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
65
1
0
27 Feb 2025
Robust sensitivity control in digital pathology via tile score distribution matching
Robust sensitivity control in digital pathology via tile score distribution matching
Arthur Pignet
John Klein
Geneviève Robin
Antoine Olivier
OOD
60
0
0
27 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
133
0
0
27 Feb 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Jingzhi Hu
Xin Li
Zhou Su
Jun-Jie Luo
60
0
0
18 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin
Nicola Gnecco
Fanny Yang
71
3
0
04 Feb 2025
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
40
1
0
11 Jan 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
163
0
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Z. Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
168
1
0
16 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
Milad Soltany
Farhad Pourpanah
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
FedML
63
1
0
16 Dec 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODD
CML
61
0
0
29 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao
Huazhen Lin
Yuchen Luo
Jerry Zhijian Yang
41
1
0
12 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
26
1
0
08 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
40
1
0
04 Oct 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
62
0
0
01 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
Fine-Grained Domain Generalization with Feature Structuralization
Fine-Grained Domain Generalization with Feature Structuralization
Wenlong Yu
Dongyue Chen
Qilong Wang
Qinghua Hu
28
0
0
13 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain
  Generalization
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
19
0
0
10 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
71
3
0
05 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
49
0
0
30 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedML
OOD
81
2
0
25 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
35
0
0
24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
48
3
0
23 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
53
7
0
23 May 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Xudong Sun
Nutan Chen
Alexej Gossmann
Yu Xing
Carla Feistner
...
Felix Drost
Daniele Scarcella
Lisa Beer
Carsten Marr
Carsten Marr
57
1
0
20 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
38
15
0
05 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
37
1
0
01 Mar 2024
Consistency-Guided Temperature Scaling Using Style and Content
  Information for Out-of-Domain Calibration
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi
Jun-Gyu Park
Dong-Jun Han
Younghyun Park
Jaekyun Moon
26
1
0
22 Feb 2024
SMORE: Similarity-based Hyperdimensional Domain Adaptation for
  Multi-Sensor Time Series Classification
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
Junyao Wang
Mohammad Abdullah Al Faruque
AI4TS
43
1
0
20 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo-Lu Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
16
48
0
16 Feb 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition
  via Fine-grained Domain Adaptation
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov
T. Eerola
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
María Teresa Camarena-Gómez
Jukka Seppälä
H. Kalviainen
11
3
0
08 Feb 2024
A Survey on Domain Generalization for Medical Image Analysis
Ziwei Niu
Shuyi Ouyang
Shiao Xie
Yen-wei Chen
Lanfen Lin
OOD
LM&MA
25
5
0
07 Feb 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
24
0
0
26 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
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
20
0
0
06 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OOD
OODD
30
1
0
29 Dec 2023
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
19
1
0
28 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift
Revisiting Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
24
1
0
25 Dec 2023
Generalizable Sleep Staging via Multi-Level Domain Alignment
Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang
Sha Zhao
Haiteng Jiang
Shijian Li
Tao Li
Gang Pan
42
9
0
13 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
29
0
0
26 Nov 2023
Parameter Exchange for Robust Dynamic Domain Generalization
Parameter Exchange for Robust Dynamic Domain Generalization
Luojun Lin
Zhifeng Shen
Zhishu Sun
Yuanlong Yu
Lei Zhang
Weijie Chen
OOD
17
6
0
23 Nov 2023
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