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. 1805.12018
  4. Cited By
Generalizing to Unseen Domains via Adversarial Data Augmentation

Generalizing to Unseen Domains via Adversarial Data Augmentation

30 May 2018
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
    OOD
ArXivPDFHTML

Papers citing "Generalizing to Unseen Domains via Adversarial Data Augmentation"

50 / 464 papers shown
Title
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers
  Solutions with Superior OOD Generalization
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Damien Teney
Ehsan Abbasnejad
Simon Lucey
A. Hengel
23
86
0
12 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
UQCV
OOD
29
39
0
09 May 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
Learning to Perturb Word Embeddings for Out-of-distribution QA
Seanie Lee
Minki Kang
Juho Lee
S. Hwang
OOD
11
17
0
06 May 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Haoqing Wang
Zhihong Deng
24
119
0
29 Apr 2021
Towards Corruption-Agnostic Robust Domain Adaptation
Towards Corruption-Agnostic Robust Domain Adaptation
Yifan Xu
Kekai Sheng
Weiming Dong
Baoyuan Wu
Changsheng Xu
Bao-Gang Hu
37
8
0
21 Apr 2021
Deep Stable Learning for Out-Of-Distribution Generalization
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang
Peng Cui
Renzhe Xu
Linjun Zhou
Yue He
Zheyan Shen
OOD
19
250
0
16 Apr 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From
  a Single Offline Environment
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Philip J. Ball
Cong Lu
Jack Parker-Holder
Stephen J. Roberts
OffRL
17
40
0
12 Apr 2021
Open Domain Generalization with Domain-Augmented Meta-Learning
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu
Zhangjie Cao
Chenyu Wang
Jianmin Wang
Mingsheng Long
OOD
19
162
0
08 Apr 2021
Explainability-aided Domain Generalization for Image Classification
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAtt
OOD
19
1
0
05 Apr 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Shanyan Guan
Jingwei Xu
Yunbo Wang
Bingbing Ni
Xiaokang Yang
3DH
25
50
0
30 Mar 2021
Progressive Domain Expansion Network for Single Domain Generalization
Progressive Domain Expansion Network for Single Domain Generalization
Lei Li
Ke Gao
Juan Cao
Ziyao Huang
Yepeng Weng
Xiaoyue Mi
Zhengze Yu
Xiaoya Li
Boyang Xia
OOD
AI4CE
19
158
0
30 Mar 2021
MetaAlign: Coordinating Domain Alignment and Classification for
  Unsupervised Domain Adaptation
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Zhibo Chen
13
106
0
25 Mar 2021
Improved Detection of Face Presentation Attacks Using Image
  Decomposition
Improved Detection of Face Presentation Attacks Using Image Decomposition
Shlok Kumar Mishra
K. Sengupta
Max Horowitz-Gelb
Wen-Sheng Chu
Sofien Bouaziz
David Jacobs
CVBM
8
2
0
22 Mar 2021
Uncertainty-guided Model Generalization to Unseen Domains
Uncertainty-guided Model Generalization to Unseen Domains
Fengchun Qiao
Xi Peng
OOD
UQCV
13
59
0
12 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
35
426
0
10 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
60
980
0
03 Mar 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
FSDR: Frequency Space Domain Randomization for Domain Generalization
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
30
218
0
03 Mar 2021
On the effectiveness of adversarial training against common corruptions
On the effectiveness of adversarial training against common corruptions
Klim Kireev
Maksym Andriushchenko
Nicolas Flammarion
AAML
11
101
0
03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,169
0
02 Mar 2021
Domain Generalization via Inference-time Label-Preserving Target
  Projections
Domain Generalization via Inference-time Label-Preserving Target Projections
Prashant Pandey
Mrigank Raman
Sumanth Varambally
A. Prathosh
OOD
24
45
0
01 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
14
58
0
28 Feb 2021
Neuron Coverage-Guided Domain Generalization
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
45
129
0
23 Feb 2021
Robust Domain-Free Domain Generalization with Class-aware Alignment
Robust Domain-Free Domain Generalization with Class-aware Alignment
Wenyu Zhang
Mohamed Ragab
Ramón Sagarna
OOD
30
9
0
17 Feb 2021
Domain Adversarial Neural Networks for Domain Generalization: When It
  Works and How to Improve
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve
Anthony Sicilia
Xingchen Zhao
Seong Jae Hwang
OOD
AI4CE
19
73
0
07 Feb 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
38
21
0
03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain
  Generalization
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
Xudong Sun
Florian Buettner
BDL
OOD
DRL
11
3
0
23 Jan 2021
Continual Learning of Generative Models with Limited Data: From
  Wasserstein-1 Barycenter to Adaptive Coalescence
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
M. Dedeoglu
Sen Lin
Zhaofeng Zhang
Junshan Zhang
11
1
0
22 Jan 2021
Rethinking Domain Generalization Baselines
Rethinking Domain Generalization Baselines
Francesco Cappio Borlino
A. DÍnnocente
Tatiana Tommasi
OOD
19
40
0
22 Jan 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
31
0
0
16 Dec 2020
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain
  Adaptive Semantic Segmentation
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
R. Gong
Yuhua Chen
D. Paudel
Yawei Li
Ajad Chhatkuli
Wen Li
Dengxin Dai
Luc Van Gool
OOD
VLM
36
34
0
15 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
45
1,372
0
14 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLM
OOD
CLL
20
74
0
08 Dec 2020
Intervention Design for Effective Sim2Real Transfer
Intervention Design for Effective Sim2Real Transfer
Melissa Mozifian
Amy Zhang
Joelle Pineau
D. Meger
12
9
0
03 Dec 2020
Attribute-Guided Adversarial Training for Robustness to Natural
  Perturbations
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale
Rushil Anirudh
B. Kailkhura
Jayaraman J. Thiagarajan
Chitta Baral
Yezhou Yang
AAML
OOD
8
37
0
03 Dec 2020
Batch Normalization Embeddings for Deep Domain Generalization
Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu
A. Tonioni
Federico Tombari
OOD
AI4CE
25
129
0
25 Nov 2020
Studying Robustness of Semantic Segmentation under Domain Shift in
  cardiac MRI
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
Peter M. Full
Fabian Isensee
Paul F. Jäger
Klaus Maier-Hein
OOD
18
43
0
15 Nov 2020
Contrastive Learning with Adversarial Examples
Contrastive Learning with Adversarial Examples
Chih-Hui Ho
Nuno Vasconcelos
SSL
13
140
0
22 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
G. Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Bernard Ghanem
Gavin Taylor
Tom Goldstein
101
74
0
19 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
6
165
0
15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
22
64
0
14 Oct 2020
The Risks of Invariant Risk Minimization
The Risks of Invariant Risk Minimization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
14
303
0
12 Oct 2020
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu
Zuxuan Wu
Micah Goldblum
Tom Goldstein
AAML
OOD
14
18
0
18 Sep 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust
  Optimization: Breaking the Curse of Dimensionality
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Rui Gao
13
88
0
09 Sep 2020
Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
OOD
15
204
0
28 Aug 2020
Random Style Transfer based Domain Generalization Networks Integrating
  Shape and Spatial Information
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Lei Li
V. Zimmer
Wangbin Ding
Fuping Wu
Liqin Huang
J. Schnabel
Xiahai Zhuang
OOD
MedIm
9
22
0
27 Aug 2020
Robustness and Overfitting Behavior of Implicit Background Models
Robustness and Overfitting Behavior of Implicit Background Models
Shirley Liu
Charles Lehman
Ghassan AlRegib
VLM
10
1
0
21 Aug 2020
Discrepancy Minimization in Domain Generalization with Generative
  Nearest Neighbors
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
Prashant Pandey
Mrigank Raman
Sumanth Varambally
A. Prathosh
6
1
0
28 Jul 2020
Joint reconstruction and bias field correction for undersampled MR
  imaging
Joint reconstruction and bias field correction for undersampled MR imaging
Mélanie Gaillochet
K. Tezcan
E. Konukoglu
6
13
0
26 Jul 2020
Previous
123...10789
Next