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. 1301.2115
  4. Cited By
Domain Generalization via Invariant Feature Representation

Domain Generalization via Invariant Feature Representation

10 January 2013
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
    OOD
ArXivPDFHTML

Papers citing "Domain Generalization via Invariant Feature Representation"

21 / 21 papers shown
Title
Integral Imprecise Probability Metrics
Integral Imprecise Probability Metrics
Siu Lun Chau
Michele Caprio
Krikamol Muandet
30
0
0
22 May 2025
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
Youngjun Song
Youngsik Hwang
Jonghun Lee
Heechang Lee
Dong-Young Lim
AAML
79
0
0
30 Mar 2025
Partial Transportability for Domain Generalization
Partial Transportability for Domain Generalization
Kasra Jalaldoust
Alexis Bellot
Elias Bareinboim
OOD
94
5
0
30 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
313
0
0
21 Mar 2025
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh
Lyubov Dudchenko
Justus Viga
T. Gemmeke
94
0
0
12 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
427
1
0
27 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
110
0
0
15 Feb 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
160
2
0
07 Jan 2025
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Zhaoyu Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
335
1
0
16 Dec 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
96
3
0
25 Oct 2024
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation
Mohammad Mehdi Rastikerdar
Jin Huang
Hui Guan
Deepak Ganesan
74
0
0
12 Sep 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
Haohuan Fu
Haohuan Fu
TTA
80
1
0
29 Aug 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
95
0
0
01 Jul 2024
Fine-Grained Domain Generalization with Feature Structuralization
Fine-Grained Domain Generalization with Feature Structuralization
Wenlong Yu
Dongyue Chen
Qilong Wang
Qinghua Hu
64
0
0
13 Jun 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
66
3
0
12 Jan 2024
Generalizable Sleep Staging via Multi-Level Domain Alignment
Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang
Sha Zhao
Haiteng Jiang
Shijian Li
Tao Li
Gang Pan
89
10
0
13 Dec 2023
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
144
6
0
05 Jun 2022
Anomalous Example Detection in Deep Learning: A Survey
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Yue Liu
P. Varshney
D. Song
AAML
96
47
0
16 Mar 2020
Flexible Modeling of Latent Task Structures in Multitask Learning
Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos
Piyush Rai
Jacques Wainer
Hal Daumé
86
53
0
27 Jun 2012
Learning from Distributions via Support Measure Machines
Learning from Distributions via Support Measure Machines
Krikamol Muandet
Kenji Fukumizu
Francesco Dinuzzo
Bernhard Schölkopf
68
197
0
29 Feb 2012
Hilbert space embeddings and metrics on probability measures
Hilbert space embeddings and metrics on probability measures
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
Bernhard Schölkopf
Gert R. G. Lanckriet
147
741
0
30 Jul 2009
1