ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.03077
  4. Cited By
Deeper, Broader and Artier Domain Generalization

Deeper, Broader and Artier Domain Generalization

9 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deeper, Broader and Artier Domain Generalization"

50 / 923 papers shown
Title
FedCiR: Client-Invariant Representation Learning for Federated Non-IID
  Features
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
87
10
0
30 Aug 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
82
2
0
30 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
134
4
0
28 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain
  Generalization
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
85
6
0
28 Aug 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
66
1
0
26 Aug 2023
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized
  Semantic Segmentation
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
Jan-Aike Termöhlen
Tim Bartels
Tim Fingscheidt
ViT
65
6
0
25 Aug 2023
Understanding Hessian Alignment for Domain Generalization
Understanding Hessian Alignment for Domain Generalization
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
81
14
0
22 Aug 2023
Domain Generalization via Rationale Invariance
Domain Generalization via Rationale Invariance
Liang Chen
Yong Zhang
Yibing Song
Anton Van Den Hengel
Lingqiao Liu
OOD
81
14
0
22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with
  Pretrained Models
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang
Hao Liu
Chaozhuo Li
Xing Xie
Sunghun Kim
Haohan Wang
VLMOOD
117
8
0
21 Aug 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
DomainAdaptor: A Novel Approach to Test-time Adaptation
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OODTTA
83
17
0
20 Aug 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
  Generalization
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
OOD
120
22
0
20 Aug 2023
TDG: Text-guided Domain Generalization
TDG: Text-guided Domain Generalization
Geng-Ming Liu
Yuxi Wang
OOD
76
2
0
19 Aug 2023
Understanding the Role of Layer Normalization in Label-Skewed Federated
  Learning
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
Guojun Zhang
Mahdi Beitollahi
Alex Bie
Xi Chen
FedMLMLTAI4CE
69
3
0
18 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set
  Domain Generalization
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
85
20
0
18 Aug 2023
FedPop: Federated Population-based Hyperparameter Tuning
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen
Denis Krompass
Jindong Gu
Volker Tresp
FedML
100
0
0
16 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
62
1
0
14 Aug 2023
ADRMX: Additive Disentanglement of Domain Features with Remix Loss
ADRMX: Additive Disentanglement of Domain Features with Remix Loss
Berker Demirel
E. Aptoula
Huseyin Ozkan
34
1
0
12 Aug 2023
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
Youssef Dawoud
G. Carneiro
Vasileios Belagiannis
48
0
0
09 Aug 2023
GIFD: A Generative Gradient Inversion Method with Feature Domain
  Optimization
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
Hao Fang
Bin Chen
Xuan Wang
Zhi Wang
Shutao Xia
108
34
0
09 Aug 2023
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the
  Generalization of Histopathology Image Classification Across Unseen Hospitals
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals
Milad Sikaroudi
Seyedeh Maryam Hosseini
Shahryar Rahnamayan
H. R. Tizhoosh
OOD
41
0
0
07 Aug 2023
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
Zikai Zhou
Shuo Zhang
Ziruo Wang
Huanran Chen
AI4CE
84
3
0
07 Aug 2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization
Frustratingly Easy Model Generalization by Dummy Risk Minimization
Juncheng Wang
Jindong Wang
Xixu Hu
Shujun Wang
Xingxu Xie
58
2
0
04 Aug 2023
Efficient Model Adaptation for Continual Learning at the Edge
Efficient Model Adaptation for Continual Learning at the Edge
Z. Daniels
Jun Hu
M. Lomnitz
P.E.T.E.R.G. Miller
Aswin Raghavan
Joe Zhang
M. Piacentino
David C. Zhang
OOD
78
2
0
03 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
124
2
0
02 Aug 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain
  Generalization
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Junhyeong Cho
Gilhyun Nam
Sungyeon Kim
Hunmin Yang
Suha Kwak
VLMOODTTA
104
49
0
27 Jul 2023
Topology-aware Robust Optimization for Out-of-distribution
  Generalization
Topology-aware Robust Optimization for Out-of-distribution Generalization
Fengchun Qiao
Xi Peng
79
11
0
26 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
101
13
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
60
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
59
17
0
24 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative
  Interpolation
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Haoyue Bai
Ceyuan Yang
Yinghao Xu
Shueng-Han Gary Chan
Bolei Zhou
OODD
33
3
0
23 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Rongqing Li
Jiaqi Yu
Changsheng Li
Wenhan Luo
Ye Yuan
Guoren Wang
MLAU
52
0
0
20 Jul 2023
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
83
22
0
20 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to
  Harness Spurious Features
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
116
20
0
19 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain
  Generalization
Adversarial Bayesian Augmentation for Single-Source Domain Generalization
Sheng Cheng
Tejas Gokhale
Yezhou Yang
OOD
64
16
0
18 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
83
3
0
17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
173
3
0
17 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating
DISPEL: Domain Generalization via Domain-Specific Liberating
Chia-Yuan Chang
Yu-Neng Chuang
Guanchu Wang
Mengnan Du
Zou Na
38
6
0
14 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches
A Causal Framework to Unify Common Domain Generalization Approaches
N. Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
Zechao Li
Luning Wang
Yongxiang Huang
FedMLOODAI4CE
83
3
0
13 Jul 2023
Large Class Separation is not what you need for Relational
  Reasoning-based OOD Detection
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection
L. Lu
Giulia DÁscenzi
Francesco Cappio Borlino
Tatiana Tommasi
OODD
46
1
0
12 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDLOOD
88
1
0
08 Jul 2023
Learning to Augment: Hallucinating Data for Domain Generalized
  Segmentation
Learning to Augment: Hallucinating Data for Domain Generalized Segmentation
Qiyu Sun
Pavlo Melnyk
Michael Felsberg
Yang Tang
113
0
0
04 Jul 2023
Concept-aware clustering for decentralized deep learning under temporal
  shift
Concept-aware clustering for decentralized deep learning under temporal shift
Marcus Toftås
Emilie Klefbom
Edvin Listo Zec
Martin Willbo
Olof Mogren
OOD
50
0
0
22 Jun 2023
Shape Guided Gradient Voting for Domain Generalization
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu
Yuwang Wang
Xuejin Chen
69
0
0
19 Jun 2023
Perturbation-Based Two-Stage Multi-Domain Active Learning
Perturbation-Based Two-Stage Multi-Domain Active Learning
Rui He
Zeyu Dai
Shan He
Ke Tang
46
2
0
19 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
67
49
0
15 Jun 2023
What can a cook in Italy teach a mechanic in India? Action Recognition
  Generalisation Over Scenarios and Locations
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
Chiara Plizzari
Toby Perrett
Barbara Caputo
Dima Damen
EgoV
114
18
0
14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution Prediction
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
100
19
0
14 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODDOOD
89
14
0
13 Jun 2023
Partial Identifiability for Domain Adaptation
Partial Identifiability for Domain Adaptation
Lingjing Kong
Shaoan Xie
Weiran Yao
Yujia Zheng
Guan-Hong Chen
P. Stojanov
Victor Akinwande
Kun Zhang
95
10
0
10 Jun 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
OODTTA
109
12
0
08 Jun 2023
Previous
123...678...171819
Next