Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.11478
Cited By
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
20 June 2020
Zhun Deng
Frances Ding
Cynthia Dwork
Rachel Hong
Giovanni Parmigiani
Prasad Patil
Pragya Sur
OOD
FaML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations"
10 / 10 papers shown
Title
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
40
10
0
02 Jul 2023
Reinforcement Learning with Stepwise Fairness Constraints
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
FaML
OffRL
35
11
0
08 Nov 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
Anthony Sicilia
Katherine Atwell
Malihe Alikhani
Seong Jae Hwang
BDL
46
9
0
12 Jul 2022
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
30
1
0
09 Sep 2021
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
15
59
0
20 Mar 2021
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
37
980
0
03 Mar 2021
When and How Mixup Improves Calibration
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
James Y. Zou
UQCV
20
67
0
11 Feb 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja
Jun Wang
Amit Dhurandhar
Karthikeyan Shanmugam
Kush R. Varshney
OOD
27
78
0
30 Oct 2020
Cross-study learning for generalist and specialist predictions
Boyu Ren
Prasad Patil
Francesca Dominici
Giovanni Parmigiani
L. Trippa
17
10
0
24 Jul 2020
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
224
673
0
17 Feb 2018
1