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

50 / 464 papers shown
Title
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
43
190
0
25 Jul 2020
Self-Supervised Learning Across Domains
Self-Supervised Learning Across Domains
S. Bucci
A. DÍnnocente
Yujun Liao
Fabio Maria Carlucci
Barbara Caputo
Tatiana Tommasi
SSL
23
73
0
24 Jul 2020
Towards Recognizing Unseen Categories in Unseen Domains
Towards Recognizing Unseen Categories in Unseen Domains
Massimiliano Mancini
Zeynep Akata
Elisa Ricci
Barbara Caputo
VLM
58
100
0
23 Jul 2020
Accounting for Unobserved Confounding in Domain Generalization
Accounting for Unobserved Confounding in Domain Generalization
Alexis Bellot
M. Schaar
CML
OOD
12
23
0
21 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity
  Learning
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou
Zhuqing Jiang
Changjian Shui
Boyu Wang
B. Chaib-draa
OOD
11
53
0
21 Jul 2020
Unsupervised Domain Adaptation in the Absence of Source Data
Unsupervised Domain Adaptation in the Absence of Source Data
Roshni Sahoo
Divya Shanmugam
John Guttag
OOD
9
18
0
20 Jul 2020
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
23
444
0
07 Jul 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric P. Xing
Dong Huang
OOD
12
612
0
05 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
26
1,109
0
02 Jul 2020
Tilted Empirical Risk Minimization
Tilted Empirical Risk Minimization
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
12
127
0
02 Jul 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation
Realistic Adversarial Data Augmentation for MR Image Segmentation
C. L. P. Chen
C. Qin
Huaqi Qiu
C. Ouyang
Shuo Wang
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
23
82
0
23 Jun 2020
Representation via Representations: Domain Generalization via
  Adversarially Learned Invariant Representations
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
Zhun Deng
Frances Ding
Cynthia Dwork
Rachel Hong
Giovanni Parmigiani
Prasad Patil
Pragya Sur
OOD
FaML
11
29
0
20 Jun 2020
Frustratingly Simple Domain Generalization via Image Stylization
Frustratingly Simple Domain Generalization via Image Stylization
Nathan Somavarapu
Chih-Yao Ma
Z. Kira
OOD
7
64
0
19 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data
  Distillation and Augmentation
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
D. Lu
N. Polomac
Iskra Gacheva
E. Hattingen
Jochen Triesch
16
18
0
17 Jun 2020
Revealing the Invisible with Model and Data Shrinking for
  Composite-database Micro-expression Recognition
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Zhaoqiang Xia
Wei Peng
Huai-Qian Khor
Xiaoyi Feng
Guoying Zhao
24
106
0
17 Jun 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal Matching
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
9
325
0
12 Jun 2020
Distributionally Robust Batch Contextual Bandits
Distributionally Robust Batch Contextual Bandits
Nian Si
Fan Zhang
Zhengyuan Zhou
Jose H. Blanchet
OffRL
11
23
0
10 Jun 2020
Enforcing Predictive Invariance across Structured Biomedical Domains
Enforcing Predictive Invariance across Structured Biomedical Domains
Wengong Jin
Regina Barzilay
Tommi Jaakkola
OOD
8
27
0
06 Jun 2020
Neural Unsupervised Domain Adaptation in NLP---A Survey
Neural Unsupervised Domain Adaptation in NLP---A Survey
Alan Ramponi
Barbara Plank
OOD
14
255
0
31 May 2020
Towards a Robust WiFi-based Fall Detection with Adversarial Data
  Augmentation
Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation
Tuan-Duy H. Nguyen
Huu-Nghia H. Nguyen
AAML
9
7
0
25 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Alexander Robey
Hamed Hassani
George J. Pappas
OOD
35
42
0
20 May 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Z. Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
28
31
0
20 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPC
SSL
6
42
0
15 Apr 2020
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for
  Building Extraction from Aerial Images
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images
Younghwan Na
Jun Hee Kim
Kyungsu Lee
Juhum Park
J. Hwang
Jihwan P. Choi
OOD
6
27
0
11 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
13
162
0
09 Apr 2020
Sequential Learning for Domain Generalization
Sequential Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
6
32
0
03 Apr 2020
Improving out-of-distribution generalization via multi-task
  self-supervised pretraining
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Isabela Albuquerque
Nikhil Naik
Junnan Li
N. Keskar
R. Socher
SSL
OOD
22
40
0
30 Mar 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
29
431
0
30 Mar 2020
Efficient Domain Generalization via Common-Specific Low-Rank
  Decomposition
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
6
216
0
28 Mar 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
137
273
0
16 Mar 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
6
39
0
13 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
215
404
0
12 Mar 2020
Learn to Expect the Unexpected: Probably Approximately Correct Domain
  Generalization
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
Vikas K. Garg
Adam Kalai
Katrina Ligett
Zhiwei Steven Wu
OOD
10
21
0
13 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
35
97
0
07 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
21
386
0
23 Jan 2020
An Adversarial Perturbation Oriented Domain Adaptation Approach for
  Semantic Segmentation
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang
Ruijia Xu
Ruiyu Li
Xiaojuan Qi
Xiaoyong Shen
Guanbin Li
Liang Lin
4
93
0
18 Dec 2019
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains
Zhiyu Yao
Yunbo Wang
Jianmin Wang
Philip S. Yu
Mingsheng Long
OOD
ViT
24
23
0
08 Dec 2019
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
15
203
0
16 Nov 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
674
0
09 Nov 2019
Generalizing to unseen domains via distribution matching
Generalizing to unseen domains via distribution matching
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
OOD
21
154
0
03 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
14
685
0
29 Oct 2019
Automatic Data Augmentation by Learning the Deterministic Policy
Yinghuan Shi
Tiexin Qin
Yong Liu
Jiwen Lu
Yang Gao
D. Shen
18
4
0
18 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT
  Applications: A Taxonomy and Survey
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
Bin Qian
Jie Su
Z. Wen
D. N. Jha
Yinhao Li
...
Albert Y. Zomaya
Omer F. Rana
Lizhe Wang
Maciej Koutny
R. Ranjan
10
4
0
11 Oct 2019
Learning to Generalize One Sample at a Time with Self-Supervision
Learning to Generalize One Sample at a Time with Self-Supervision
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
OOD
14
4
0
09 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic
  Counterexamples through Differentiable Rendering
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
Lakshya Jain
Varun Chandrasekaran
Uyeong Jang
Wilson Wu
Andrew Lee
Andy Yan
Steven Chen
S. Jha
S. Seshia
AAML
11
11
0
02 Oct 2019
Robust Learning with the Hilbert-Schmidt Independence Criterion
Robust Learning with the Hilbert-Schmidt Independence Criterion
D. Greenfeld
Uri Shalit
OOD
14
55
0
01 Oct 2019
Generalized Resilience and Robust Statistics
Generalized Resilience and Robust Statistics
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
19
45
0
19 Sep 2019
Improving the generalizability of convolutional neural network-based
  segmentation on CMR images
Improving the generalizability of convolutional neural network-based segmentation on CMR images
C. L. P. Chen
Wenjia Bai
R. Davies
A. Bhuva
C. Manisty
...
S. Petersen
E. Lukaschuk
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
16
117
0
02 Jul 2019
When Unseen Domain Generalization is Unnecessary? Rethinking Data
  Augmentation
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
Ling Zhang
Xiaosong Wang
D. Yang
Thomas Sanford
Stephanie Harmon
B. Turkbey
H. Roth
Andriy Myronenko
Daguang Xu
Ziyue Xu
OOD
6
39
0
07 Jun 2019
Confidence Regions in Wasserstein Distributionally Robust Estimation
Confidence Regions in Wasserstein Distributionally Robust Estimation
Jose H. Blanchet
Karthyek Murthy
Nian Si
OOD
16
57
0
04 Jun 2019
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