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. 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 / 91 papers shown
Title
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
Junyu Luo
Yusheng Zhao
Xiao Luo
Zhiping Xiao
Wei Ju
Li Shen
Dacheng Tao
Ming Zhang
DiffM
125
1
0
20 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
Dongyoon Yang
Jihu Lee
Yongdai Kim
85
0
0
10 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
106
0
0
30 Mar 2025
KAC: Kolmogorov-Arnold Classifier for Continual Learning
KAC: Kolmogorov-Arnold Classifier for Continual Learning
Yusong Hu
Zichen Liang
Fei Yang
Qibin Hou
Xialei Liu
Ming-Ming Cheng
CLL
107
1
0
27 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
390
0
0
21 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
156
0
0
18 Mar 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
150
0
0
10 Mar 2025
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols
Yongwoo Kim
Sungmin Cha
Donghyun Kim
MUELM
76
3
0
10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
167
0
0
09 Mar 2025
Single Domain Generalization with Adversarial Memory
Hao Yan
Marzi Heidari
Yuhong Guo
374
0
0
08 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
588
1
0
27 Feb 2025
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
Zijian Zhao
Tingwei Chen
Zhijie Cai
Xiaoyang Li
Hang Li
Qimei Chen
Guangxu Zhu
111
4
0
17 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
213
2
0
15 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Chen
150
0
0
10 Feb 2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Yanhao Jia
Xinyi Wu
Hao Li
Qinglin Zhang
Yuxiao Hu
Shuai Zhao
Wenqi Fan
152
4
0
09 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
227
2
0
05 Feb 2025
Binary Losses for Density Ratio Estimation
Binary Losses for Density Ratio Estimation
Werner Zellinger
115
0
0
28 Jan 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Jian Zhao
Furao Shen
CLL
172
0
0
28 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu
Jiaze Li
Wanyi Wu
Hao Ren
FedML
106
1
0
20 Jan 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
240
3
0
07 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Ruiying Ren
Shengjie Liu
Tiejun Huang
181
0
0
03 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making Systems
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
83
0
0
03 Jan 2025
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Xiusheng Xu
Lei Qi
Jingyang Zhou
Xin Geng
TTA
148
0
0
03 Jan 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Yang Yuxiang
Zeng Xinyi
Zeng Pinxian
Zu Chen
Yan Binyu
Zhou Jiliu
Wang Yan
113
0
0
02 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
140
0
0
31 Dec 2024
Uncertainty Herding: One Active Learning Method for All Label Budgets
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae
Gabriel L. Oliveira
Danica J. Sutherland
UQCV
411
0
0
30 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
472
0
0
18 Dec 2024
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
399
1
0
16 Dec 2024
Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
Ji Hyeok Jung
Eun Tae Kim
S. Kim
Joo Ho Lee
Bumsoo Kim
Buru Chang
VLM
477
2
0
24 Nov 2024
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
Anxhelo Diko
Antonino Furnari
Luigi Cinque
G. Farinella
321
0
0
23 Nov 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo
Chong Chen
Shandong Wu
FedMLVLMMoE
116
5
0
14 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLLAI4CE
184
2
0
01 Oct 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jörnsten
Gui-Song Xia
OOD
164
0
0
16 Sep 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAMLOODCML
157
0
0
28 Aug 2024
The Benefits of Balance: From Information Projections to Variance Reduction
The Benefits of Balance: From Information Projections to Variance Reduction
Lang Liu
Ronak R. Mehta
Soumik Pal
Zaïd Harchaoui
60
0
0
27 Aug 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Jaehyuk Heo
Pilsung Kang
VLM
62
1
0
09 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
138
5
0
08 Aug 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
223
1
0
25 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares
PLeaS -- Merging Models with Permutations and Least Squares
Anshul Nasery
J. Hayase
Pang Wei Koh
Sewoong Oh
MoMe
95
3
0
02 Jul 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
105
2
0
17 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
114
1
0
13 Jun 2024
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
193
0
0
13 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
159
5
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
128
2
0
03 Jun 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
344
2
0
25 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
82
0
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 Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
116
8
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
120
1
0
22 May 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
130
1
0
18 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
89
2
0
01 Mar 2024
12
Next