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Adversarial Invariant Feature Learning with Accuracy Constraint for
  Domain Generalization

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization

29 April 2019
K. Akuzawa
Yusuke Iwasawa
Y. Matsuo
    OOD
ArXivPDFHTML

Papers citing "Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization"

16 / 16 papers shown
Title
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
Vincent Jacob
Y. Diao
AI4TS
46
0
0
29 Mar 2025
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
34
0
0
26 Nov 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Bo-wen Li
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
29
0
0
03 Oct 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution
  Generalization
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Yingchun Wang
Jingcai Guo
Yi Liu
Song Guo
Weizhan Zhang
Xiangyong Cao
Qinghua Zheng
AAML
OODD
31
11
0
19 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
57
14
0
10 May 2023
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition
  Analysis for Adversarial Multi-task Video Understanding
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Stephen Su
Sam Kwong
Qingyu Zhao
De-An Huang
Juan Carlos Niebles
Ehsan Adeli
27
0
0
22 Aug 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of
  Invariant Risk Minimization
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh
A. Baidya
OOD
28
8
0
29 May 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for
  Out-of-domain Generalization
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
16
22
0
09 Apr 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
20
13
0
27 Oct 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain
  Generalization
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Mohammad Mahfujur Rahman
Clinton Fookes
Sridha Sridharan
OOD
20
3
0
20 Aug 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 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
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Dual Distribution Alignment Network for Generalizable Person
  Re-Identification
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen
Pingyang Dai
Jianzhuang Liu
Feng Zheng
Q. Tian
Rongrong Ji
OOD
16
45
0
27 Jul 2020
A causal view of compositional zero-shot recognition
A causal view of compositional zero-shot recognition
Y. Atzmon
Felix Kreuk
Uri Shalit
Gal Chechik
OCL
BDL
CML
61
117
0
25 Jun 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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