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 / 1,211 papers shown
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
570
8
0
13 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
332
6
0
13 Jun 2024
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
448
0
0
13 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain
  Generalization
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
327
1
0
10 Jun 2024
Visual Prompt Tuning in Null Space for Continual Learning
Visual Prompt Tuning in Null Space for Continual LearningNeural Information Processing Systems (NeurIPS), 2024
Yue Lu
Shizhou Zhang
De Cheng
Yinghui Xing
N. Wang
Peng Wang
Yanning Zhang
VLMVPVLMCLL
360
24
0
09 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
294
1
0
09 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
249
3
0
05 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and
  Challenges
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
222
1
0
05 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OODMLTOODD
434
9
0
05 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
401
11
0
03 Jun 2024
Early Detection of Misinformation for Infodemic Management: A Domain
  Adaptation Approach
Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach
Minjia Mao
Xiaohang Zhao
Xiao Fang
209
1
0
02 Jun 2024
On the Use of Anchoring for Training Vision Models
On the Use of Anchoring for Training Vision Models
V. Narayanaswamy
Kowshik Thopalli
Rushil Anirudh
Yamen Mubarka
W. Sakla
Jayaraman J. Thiagarajan
334
1
0
01 Jun 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain
  Generalization
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
Songhua Liu
Xin Jin
Xingyi Yang
Jingwen Ye
Xinchao Wang
OOD
433
7
0
01 Jun 2024
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Manogna Sreenivas
Soma Biswas
VLM
416
0
0
01 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching
  Gap
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Stephen Zhang
James Thornton
Marco Cuturi
272
8
0
29 May 2024
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
190
27
0
29 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
353
3
0
29 May 2024
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active
  Learning and Model Selection
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
Yushu Li
Yongyi Su
Xulei Yang
Kui Jia
Xun Xu
TTA
286
0
0
29 May 2024
Locally Estimated Global Perturbations are Better than Local
  Perturbations for Federated Sharpness-aware Minimization
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan
Shengchao Hu
Jiangchao Yao
Gang Niu
Ya Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
286
30
0
29 May 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya Zhang
Yanfeng Wang
264
9
0
29 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in
  Single-Source Domain Generalization
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Jiawei Ma
Yulei Niu
Shiyuan Huang
G. Han
Shih-Fu Chang
VLM
172
1
0
28 May 2024
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain
  Adaptation
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang
Hao Zhou
Xun Yang
Zhenwei He
Meng Wang
Xingyi Zhang
Meng Wang
289
0
0
28 May 2024
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Dongjie Chen
Kartik Patwari
Zhengfeng Lai
S. Cheung
Chen-Nee Chuah
Chen-Nee Chuah
313
0
0
28 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedMLOOD
827
5
0
25 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware
  Client Indexing
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo
Lin Wang
Xiaoying Tang
Tao Lin
FedMLOOD
371
0
0
25 May 2024
Feature Protection For Out-of-distribution Generalization
Feature Protection For Out-of-distribution Generalization
Lu Tan
Huei Zhou
Yinxiang Huang
Zeming Zheng
Yujiu Yang
OODD
263
0
0
25 May 2024
Convergence Behavior of an Adversarial Weak Supervision Method
Convergence Behavior of an Adversarial Weak Supervision Method
Steven An
Sanjoy Dasgupta
271
1
0
25 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
191
4
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CMLBDLVLM
443
1
0
24 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer ModelsInternational Conference on Learning Representations (ICLR), 2024
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao Lin
Tao Lin
MoE
533
32
0
23 May 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
400
2
0
22 May 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of
  In-Context Learning
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Salman Khan
Xin Gao
Lina Yao
VLM
252
7
0
20 May 2024
Harmonizing Generalization and Personalization in Federated Prompt
  Learning
Harmonizing Generalization and Personalization in Federated Prompt LearningInternational Conference on Machine Learning (ICML), 2024
Tianyu Cui
Hongxia Li
Jingya Wang
Ye-ling Shi
FedMLVLM
211
25
0
16 May 2024
Cross-Domain Feature Augmentation for Domain Generalization
Cross-Domain Feature Augmentation for Domain GeneralizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yingnan Liu
Yingtian Zou
Rui Qiao
Fusheng Liu
Yang Deng
Wynne Hsu
OOD
209
8
0
14 May 2024
Enhanced Online Test-time Adaptation with Feature-Weight Cosine
  Alignment
Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
206
1
0
12 May 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
196
4
0
12 May 2024
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
Mingfei Lu
Chenxu Li
Shujian Yu
Robert Jenssen
Badong Chen
281
0
0
07 May 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language
  Pre-Training
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingInternational Journal of Computer Vision (IJCV), 2024
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
VLMTTA
281
13
0
05 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt GenerationInternational Conference on Learning Representations (ICLR), 2024
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLMOOD
250
20
0
05 May 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning
A Self-explaining Neural Architecture for Generalizable Concept Learning
Sanchit Sinha
Guangzhi Xiong
Aidong Zhang
249
4
0
01 May 2024
More is Better: Deep Domain Adaptation with Multiple Sources
More is Better: Deep Domain Adaptation with Multiple Sources
Sicheng Zhao
Hui Chen
Hu Huang
Pengfei Xu
Guiguang Ding
229
13
0
01 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious
  Correlation
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Leilei Gan
Kun Kuang
OODD
283
18
0
30 Apr 2024
Soft Prompt Generation for Domain Generalization
Soft Prompt Generation for Domain Generalization
Shuanghao Bai
Yuedi Zhang
Wanqi Zhou
Zhirong Luan
Badong Chen
VLM
377
27
0
30 Apr 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
Yuan Wang
Huazhu Fu
Renuga Kanagavelu
Qingsong Wei
Yong Liu
Rick Siow Mong Goh
FedML
219
60
0
29 Apr 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
Shihong Deng
Yaowei Wang
226
5
0
28 Apr 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with
  Multi-Branch Adversarial Training
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
L. Meegahapola
Hamza Hassoune
D. Gática-Pérez
211
21
0
26 Apr 2024
Adversarial Reweighting with $α$-Power Maximization for Domain
  Adaptation
Adversarial Reweighting with ααα-Power Maximization for Domain Adaptation
Xiang Gu
Xi Yu
Xing Li
Jian Sun
Zongben Xu
350
5
0
26 Apr 2024
Training-Free Unsupervised Prompt for Vision-Language Models
Training-Free Unsupervised Prompt for Vision-Language Models
Sifan Long
Linbin Wang
Zhen Zhao
Zichang Tan
Yiming Wu
Shengsheng Wang
Jingdong Wang
VLMVPVLM
340
2
0
25 Apr 2024
Domain Adaptation for Learned Image Compression with Supervised Adapters
Domain Adaptation for Learned Image Compression with Supervised Adapters
Alberto Presta
Gabriele Spadaro
Enzo Tartaglione
Attilio Fiandrotti
Marco Grangetto
134
6
0
24 Apr 2024
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty
  Modeling for Universal Multi-Source Domain Adaptation
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation
Yuxiang Yang
L. Wen
Yuanyuan Xu
Jiliu Zhou
Yan Wang
VLM
337
2
0
23 Apr 2024
Previous
123...678...232425
Next