ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.00804
  4. Cited By
Generalizing to unseen domains via distribution matching

Generalizing to unseen domains via distribution matching

3 November 2019
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
    OOD
ArXivPDFHTML

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
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
98
1
0
04 Feb 2025
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Domain Generalization: A Survey
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
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
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)
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