ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.01754
  4. Cited By
Moment Matching for Multi-Source Domain Adaptation
v1v2v3v4 (latest)

Moment Matching for Multi-Source Domain Adaptation

4 December 2018
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,212 papers shown
FedFOR: Stateless Heterogeneous Federated Learning with First-Order
  Regularization
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization
Junjiao Tian
James Smith
Z. Kira
173
3
0
21 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning
  Approach
Federated Learning from Pre-Trained Models: A Contrastive Learning ApproachNeural Information Processing Systems (NeurIPS), 2022
Yue Tan
Guodong Long
Jie Ma
Lu Liu
Tianyi Zhou
Jing Jiang
FedML
299
248
0
21 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation
Provably Uncertainty-Guided Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Paul L. Rosin
Yibin Li
Wei Emma Zhang
OODUQCV
688
0
0
19 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain
  Generalization
Mitigating Both Covariate and Conditional Shift for Domain GeneralizationInternational Conference on Cloud Computing and Intelligence Systems (ICCCIS), 2022
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
200
3
0
17 Sep 2022
On-Device Domain Generalization
On-Device Domain Generalization
Kaiyang Zhou
Yuanhan Zhang
Yuhang Zang
Jingkang Yang
Chen Change Loy
Ziwei Liu
OOD
348
7
0
15 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
230
23
0
15 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowInternational Conference on Learning Representations (ICLR), 2022
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
1.1K
2,036
0
07 Sep 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
204
1
0
05 Sep 2022
Generalization in Neural Networks: A Broad Survey
Generalization in Neural Networks: A Broad SurveyNeurocomputing (Neurocomputing), 2022
Chris Rohlfs
OODAI4CE
281
19
0
04 Sep 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain
  Generalization
Back-to-Bones: Rediscovering the Role of Backbones in Domain GeneralizationPattern Recognition (Pattern Recogn.), 2022
Simone Angarano
Mauro Martini
Francesco Salvetti
Vittorio Mazzia
Marcello Chiaberge
OOD
345
18
0
02 Sep 2022
Feature Alignment by Uncertainty and Self-Training for Source-Free
  Unsupervised Domain Adaptation
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain AdaptationNeural Networks (NN), 2022
JoonHo Lee
Gyemin Lee
219
43
0
31 Aug 2022
Uncertainty-Induced Transferability Representation for Source-Free
  Unsupervised Domain Adaptation
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2022
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Liang Chen
Yang Liu
Qingchao Chen
230
33
0
30 Aug 2022
Delving into the Continuous Domain Adaptation
Delving into the Continuous Domain AdaptationACM Multimedia (ACM MM), 2022
Yinsong Xu
Zhuqing Jiang
Aidong Men
Yang Liu
Qingchao Chen
168
6
0
28 Aug 2022
Local Context-Aware Active Domain Adaptation
Local Context-Aware Active Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Tao Sun
Cheng Lu
Haibin Ling
229
12
0
26 Aug 2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Domain Adaptation with Adversarial Training on Penultimate ActivationsAAAI Conference on Artificial Intelligence (AAAI), 2022
Tao Sun
Cheng Lu
Haibin Ling
214
21
0
26 Aug 2022
The Value of Out-of-Distribution Data
The Value of Out-of-Distribution DataInternational Conference on Machine Learning (ICML), 2022
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
357
16
0
23 Aug 2022
Test-time Training for Data-efficient UCDR
Test-time Training for Data-efficient UCDR
Soumava Paul
Titir Dutta
Aheli Saha
Abhishek Samanta
Soma Biswas
OOD
344
0
0
19 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD
  Generalization
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization
Anshul Nasery
Sravanti Addepalli
Praneeth Netrapalli
Prateek Jain
OODFedML
177
1
0
19 Aug 2022
Prompt Vision Transformer for Domain Generalization
Prompt Vision Transformer for Domain Generalization
Zangwei Zheng
Xiangyu Yue
Kai Wang
Yang You
VLMVPVLMMDE
313
60
0
18 Aug 2022
Evaluating Continual Test-Time Adaptation for Contextual and Semantic
  Domain Shifts
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
Tommie Kerssies
Mert Kilickaya
Joaquin Vanschoren
OODTTA
159
7
0
18 Aug 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationKnowledge Discovery and Data Mining (KDD), 2022
Yi-Fan Zhang
Yongfeng Zhang
Jian Liang
Zhang Zhang
Baosheng Yu
Liangdao Wang
Dacheng Tao
Xingxu Xie
OOD
434
28
0
18 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source StylizationInternational Conference on Information Photonics (ICIP), 2022
Huali Xu
Shuaifeng Zhi
Tianpeng Liu
348
7
0
17 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Subtype-Aware Dynamic Unsupervised Domain AdaptationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Xiaofeng Liu
Fangxu Xing
Jane You
Jun Lu
C.-C. Jay Kuo
Xiaofeng Liu
Jonghye Woo
OOD
291
10
0
16 Aug 2022
Uncertainty-guided Source-free Domain Adaptation
Uncertainty-guided Source-free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Subhankar Roy
Martin Trapp
Andrea Pilzer
Arno Solin
Andrii Zadaianchuk
Elisa Ricci
Arno Solin
EDLTTAUQLMUQCV
264
78
0
16 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and PerspectivesAPSIPA Transactions on Signal and Information Processing (TASIP), 2022
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
Xiaofeng Liu
Je-Won Kang
Jonghye Woo
OOD
266
283
0
15 Aug 2022
Three New Validators and a Large-Scale Benchmark Ranking for
  Unsupervised Domain Adaptation
Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation
Kevin Musgrave
Serge Belongie
Ser-Nam Lim
ALM
304
10
0
15 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation
Combating Label Distribution Shift for Active Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
S. Hwang
Sohyun Lee
Sungyeon Kim
Jungseul Ok
Suha Kwak
223
26
0
13 Aug 2022
MultiMatch: Multi-task Learning for Semi-supervised Domain
  Generalization
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
Lei Qi
Hongpeng Yang
Yinghuan Shi
Xin Geng
211
23
0
11 Aug 2022
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for
  Multi-Source Domain Adaptation
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation
Tong Xu
Lin Wang
Wu Ning
Chunyan Lyu
Kejun Wang
Chenhui Wang
194
0
0
05 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization
Adaptive Domain Generalization via Online Disagreement MinimizationIEEE Transactions on Image Processing (IEEE TIP), 2022
Xinyu Zhang
Ying-Cong Chen
OOD
203
10
0
03 Aug 2022
Augmentation Learning for Semi-Supervised Classification
Augmentation Learning for Semi-Supervised ClassificationGerman Conference on Pattern Recognition (GCPR), 2022
Tim Frommknecht
Pedro Alves Zipf
Quanfu Fan
Nina Shvetsova
Hilde Kuehne
121
2
0
03 Aug 2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for
  Unsupervised Domain Adaptation
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain AdaptationACM Multimedia (ACM MM), 2022
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
144
19
0
02 Aug 2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
  Adaptation
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
234
30
0
27 Jul 2022
Domain Adaptation under Open Set Label Shift
Domain Adaptation under Open Set Label ShiftNeural Information Processing Systems (NeurIPS), 2022
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OODVLM
268
54
0
26 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental LearningNeural Information Processing Systems (NeurIPS), 2022
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLLVLM
452
300
0
26 Jul 2022
Self-Distilled Vision Transformer for Domain Generalization
Self-Distilled Vision Transformer for Domain GeneralizationAsian Conference on Computer Vision (ACCV), 2022
M. Sultana
Muzammal Naseer
Muhammad Haris Khan
Salman Khan
Fahad Shahbaz Khan
ViT
300
51
0
25 Jul 2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised
  Domain Adaptation
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Tarun Kalluri
Astuti Sharma
Manmohan Chandraker
333
21
0
25 Jul 2022
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot
  Classification
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Rakshith Subramanyam
Mark Heimann
Jayram S. Thathachar
Rushil Anirudh
Jayaraman J. Thiagarajan
CLL
116
4
0
25 Jul 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in
  Sequential Datasets
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential DatasetsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yuqing Zhao
Divya Saxena
Jiannong Cao
CLL
279
18
0
22 Jul 2022
Grounding Visual Representations with Texts for Domain Generalization
Grounding Visual Representations with Texts for Domain GeneralizationEuropean Conference on Computer Vision (ECCV), 2022
Seonwoo Min
Nokyung Park
Siwon Kim
Seunghyun Park
Jinkyu Kim
OOD
216
40
0
21 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization
Probable Domain Generalization via Quantile Risk MinimizationNeural Information Processing Systems (NeurIPS), 2022
Cian Eastwood
Avi Schwarzschild
Shashank Singh
Julius von Kügelgen
Hamed Hassani
George J. Pappas
Bernhard Schölkopf
OOD
329
83
0
20 Jul 2022
Feature Representation Learning for Unsupervised Cross-domain Image
  Retrieval
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalEuropean Conference on Computer Vision (ECCV), 2022
Conghui Hu
G. Lee
97
30
0
20 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain AdaptationInternational Journal of Computer Vision (IJCV), 2022
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
398
8
0
19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer LearningNeural Information Processing Systems (NeurIPS), 2022
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OODOODDAAML
394
85
0
19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shiftConference on Uncertainty in Artificial Intelligence (UAI), 2022
Ananya Kumar
Tengyu Ma
Abigail Z. Jacobs
Aditi Raghunathan
UQCVOODDOOD
220
44
0
18 Jul 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
Prior Knowledge Guided Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Tao Sun
Cheng Lu
Haibin Ling
142
36
0
18 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational ReasoningEuropean Conference on Computer Vision (ECCV), 2022
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
239
4
0
18 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and
  Aligned Representations
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned RepresentationsEuropean Conference on Computer Vision (ECCV), 2022
Wentao Chen
Zheng Zhang
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
197
11
0
16 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Transferability-Guided Cross-Domain Cross-Task Transfer LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yang Tan
Enming Zhang
Yang Li
Shao-Lun Huang
Xiaoping Zhang
OT
337
17
0
12 Jul 2022
Generalizing to Unseen Domains with Wasserstein Distributional
  Robustness under Limited Source Knowledge
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source KnowledgeIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Junchang Wang
Liyan Xie
Yao Xie
Shao-Lun Huang
Yang Li
OOD
154
1
0
11 Jul 2022
Previous
123...161718...232425
Next
Page 17 of 25
Pageof 25