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1911.00804
Cited By
Generalizing to unseen domains via distribution matching
3 November 2019
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
OOD
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Papers citing
"Generalizing to unseen domains via distribution matching"
29 / 29 papers shown
Title
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
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Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
98
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0
04 Feb 2025
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving
Jules Sanchez
Jean-Emmanuel Deschaud
Franccois Goulette
62
1
0
28 Jan 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
55
7
0
23 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
50
6
0
19 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
51
1
0
10 May 2024
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
CLIP
VLM
26
5
0
28 Nov 2023
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
Lei Qi
Peng Dong
Tan Xiong
Hui Xue
Xin Geng
36
4
0
22 Nov 2023
Domain Generalisation via Risk Distribution Matching
Toan Nguyen
Kien Do
Bao Duong
T. Nguyen
OOD
33
3
0
28 Oct 2023
Feature-aligned N-BEATS with Sinkhorn divergence
Joon-Young Lee
Myeongho Jeon
Myung-joo Kang
Kyung-soon Park
AI4TS
22
0
0
24 May 2023
A principled approach to model validation in domain generalization
Boyang Lyu
Thuan Q. Nguyen
matthias. scheutz
Prakash Ishwar
Shuchin Aeron
38
2
0
02 Apr 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
23
9
0
27 Mar 2023
Domain Generalization by Learning and Removing Domain-specific Features
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
30
40
0
14 Dec 2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Zixian Su
Kai Yao
Xi Yang
Qiufeng Wang
Jie Sun
Kaizhu Huang
27
63
0
27 Nov 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
39
3
0
17 Sep 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Jindong Wang
Xingxu Xie
Masashi Sugiyama
OOD
42
1
0
03 Aug 2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Xin Qin
Jindong Wang
Yiqiang Chen
Wang Lu
Xinlong Jiang
OOD
36
35
0
21 Jul 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OOD
AI4TS
19
2
0
16 Jun 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh
A. Baidya
OOD
25
8
0
29 May 2022
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
31
112
0
27 Nov 2021
Federated Learning with Domain Generalization
Liling Zhang
Xinyu Lei
Yichun Shi
Hongyu Huang
Chao Chen
FedML
OOD
22
54
0
20 Nov 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
18
13
0
27 Oct 2021
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
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
26
32
0
18 Jun 2021
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
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
37
37
0
07 Jun 2021
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
72
980
0
03 Mar 2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Xingchen Zhao
Anthony Sicilia
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
OOD
13
13
0
12 Feb 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja
Jun Wang
Amit Dhurandhar
Karthikeyan Shanmugam
Kush R. Varshney
OOD
27
79
0
30 Oct 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
1