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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
ArXivPDFHTML

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

50 / 464 papers shown
Title
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Cuicui Kang
Karthik Nandakumar
OOD
ViT
26
1
0
06 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift
Test-time Batch Statistics Calibration for Covariate Shift
Fuming You
Jingjing Li
Zhou Zhao
OOD
15
54
0
06 Oct 2021
Instrumental Variable-Driven Domain Generalization with Unobserved
  Confounders
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Junkun Yuan
Xu Ma
Ruoxuan Xiong
Mingming Gong
Xiangyu Liu
Fei Wu
Lanfen Lin
Kun Kuang
OOD
CML
20
12
0
04 Oct 2021
Cycle-Consistent World Models for Domain Independent Latent Imagination
Cycle-Consistent World Models for Domain Independent Latent Imagination
Sidney Bender
Tim Joseph
Marius Zoellner
17
0
0
02 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Fei Wu
Lanfen Lin
45
23
0
02 Oct 2021
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OOD
DRL
22
24
0
13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
14
14
0
13 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
35
1
0
09 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
49
516
0
31 Aug 2021
Self-balanced Learning For Domain Generalization
Self-balanced Learning For Domain Generalization
Jin-Hwa Kim
Jiyoung Lee
Jungin Park
Dongbo Min
K. Sohn
OOD
AI4CE
13
6
0
31 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of
  $β$-VAE for Cyber-Physical Systems
Efficient Out-of-Distribution Detection Using Latent Space of βββ-VAE for Cyber-Physical Systems
Shreyas Ramakrishna
Zahra Rahiminasab
G. Karsai
Arvind Easwaran
Abhishek Dubey
OODD
6
27
0
26 Aug 2021
Learning to Diversify for Single Domain Generalization
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
32
248
0
26 Aug 2021
Discovering Spatial Relationships by Transformers for Domain
  Generalization
Discovering Spatial Relationships by Transformers for Domain Generalization
Cuicui Kang
Karthik Nandakumar
ViT
21
0
0
23 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
30
0
0
20 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain
  Generalization
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Mohammad Mahfujur Rahman
Clinton Fookes
S. Sridharan
OOD
18
3
0
20 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved
  Generalization
Semantic Perturbations with Normalizing Flows for Improved Generalization
Oğuz Kaan Yüksel
Sebastian U. Stich
Martin Jaggi
Tatjana Chavdarova
AAML
26
10
0
18 Aug 2021
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac
A. Moody
A. Khademi
MedIm
19
0
0
14 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning
  via Noise-enhanced Supervised Autoencoder
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Hanwen Liang
Qiong Zhang
Peng Dai
Juwei Lu
30
59
0
11 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
C. L. P. Chen
C. Qin
C. Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
56
40
0
07 Aug 2021
Out-of-Domain Generalization from a Single Source: An Uncertainty
  Quantification Approach
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
Xi Peng
Fengchun Qiao
Long Zhao
OOD
39
34
0
05 Aug 2021
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose H. Blanchet
Karthyek Murthy
Viet Anh Nguyen
11
47
0
04 Aug 2021
Domain Generalization via Gradient Surgery
Domain Generalization via Gradient Surgery
Lucas Mansilla
Rodrigo Echeveste
Diego H. Milone
Enzo Ferrante
OOD
19
78
0
03 Aug 2021
Style Curriculum Learning for Robust Medical Image Segmentation
Style Curriculum Learning for Robust Medical Image Segmentation
Zhendong Liu
Van Manh
Xin Yang
Xiaoqiong Huang
Karim Lekadir
Víctor M. Campello
Nishant Ravikumar
Alejandro F Frangi
Dong Ni
OOD
18
17
0
01 Aug 2021
Improving the Generalization of Meta-learning on Unseen Domains via
  Adversarial Shift
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
Pinzhuo Tian
Yao Gao
OOD
9
1
0
23 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
31
42
0
20 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment
  Generation
Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren
Anirudha Majumdar
OOD
96
15
0
13 Jul 2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen
  Domains
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
Shivam Chandhok
Sanath Narayan
Hisham Cholakkal
Rao Muhammad Anwer
V. Balasubramanian
F. Khan
Ling Shao
18
6
0
12 Jul 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized
  Knowledge Distillation
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang
Haoliang Li
Lap-pui Chau
Alex C. Kot
FedML
13
40
0
06 Jul 2021
Generalizing Nucleus Recognition Model in Multi-source Images via
  Pruning
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Jiatong Cai
Chenglu Zhu
C. Cui
Honglin Li
Tong Wu
Shichuan Zhang
Lin Yang
19
8
0
06 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial
  Data Augmentation
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang
Yuhong Guo
22
23
0
29 Jun 2021
Critically examining the Domain Generalizability of Facial Expression
  Recognition models
Critically examining the Domain Generalizability of Facial Expression Recognition models
Varsha Suresh
G. Yeo
Desmond C. Ong
23
6
0
29 Jun 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
15
102
0
14 Jun 2021
Domain Generalization on Medical Imaging Classification using Episodic
  Training with Task Augmentation
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Chenxin Li
Qi Qi
Xinghao Ding
Yue Huang
Dong Liang
Yizhou Yu
OOD
11
64
0
13 Jun 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural
  Processes on Time Series Data
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
Jens Petersen
Gregor Koehler
David Zimmerer
Fabian Isensee
Paul F. Jäger
Klaus H. Maier-Hein
BDL
AI4TS
28
3
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
19
31
0
09 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
40
106
0
07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
37
37
0
07 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
AAML
35
76
0
05 Jun 2021
Cross-Domain First Person Audio-Visual Action Recognition through
  Relative Norm Alignment
Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment
M. Planamente
Chiara Plizzari
Emanuele Alberti
Barbara Caputo
EgoV
14
12
0
03 Jun 2021
Contrastive ACE: Domain Generalization Through Alignment of Causal
  Mechanisms
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
Yunqi Wang
Furui Liu
Zhitang Chen
Qing Lian
Guangyong Chen
Jianye Hao
Yik-Chung Wu
OOD
CML
22
34
0
02 Jun 2021
Adversarially Adaptive Normalization for Single Domain Generalization
Adversarially Adaptive Normalization for Single Domain Generalization
Xinjie Fan
Qifei Wang
Junjie Ke
Feng Yang
Boqing Gong
Mingyuan Zhou
22
129
0
01 Jun 2021
Invariant Policy Learning: A Causal Perspective
Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam
Nikolaj Thams
J. Peters
Niklas Pfister
CML
OffRL
19
13
0
01 Jun 2021
Semi-Supervised Domain Generalization with Stochastic StyleMatch
Semi-Supervised Domain Generalization with Stochastic StyleMatch
Kaiyang Zhou
Chen Change Loy
Ziwei Liu
OOD
27
56
0
01 Jun 2021
On the benefits of representation regularization in invariance based
  domain generalization
On the benefits of representation regularization in invariance based domain generalization
Changjian Shui
Boyu Wang
Christian Gagné
OOD
14
25
0
30 May 2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data
  Augmentation via MiniMax
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
Ehsan Kamalloo
Mehdi Rezagholizadeh
Peyman Passban
Ali Ghodsi
AAML
12
17
0
28 May 2021
Improved OOD Generalization via Adversarial Training and Pre-training
Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
23
83
0
24 May 2021
A Fourier-based Framework for Domain Generalization
A Fourier-based Framework for Domain Generalization
Qinwei Xu
Ruipeng Zhang
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
OOD
6
424
0
24 May 2021
Generalizable Person Re-identification with Relevance-aware Mixture of
  Experts
Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Yongxing Dai
Xiaotong Li
Jun Liu
Zekun Tong
Ling-yu Duan
OOD
25
125
0
19 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
13
4
0
14 May 2021
Adaptive Test-Time Augmentation for Low-Power CPU
Adaptive Test-Time Augmentation for Low-Power CPU
Luca Mocerino
R. G. Rizzo
Valentino Peluso
A. Calimera
Enrico Macii
TTA
17
4
0
13 May 2021
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