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Moment Matching for Multi-Source Domain Adaptation

Moment Matching for Multi-Source Domain Adaptation

4 December 2018
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
    OOD
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Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,085 papers shown
Title
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Ruoyu Feng
Tao Yu
Xin Jin
Xiaoyuan Yu
Lei Xiao
Zhibo Chen
VLM
34
1
0
21 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
33
4
0
21 Jul 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals
  using Spatio-Temporal Monge Alignment
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
30
2
0
19 Jul 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain
  Adaptation using a Gaussian Mixture Model
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Pascal Schlachter
Simon Wagner
Bin Yang
TTA
38
1
0
19 Jul 2024
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Jiahong Chen
Zhilin Zhang
Lucy Li
Behzad Shahrasbi
Arjun Mishra
21
1
0
17 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OOD
TTA
36
2
0
16 Jul 2024
Evaluating Model Bias Requires Characterizing its Mistakes
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
42
2
0
15 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free
  Continual Learning
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Yihong Gong
CLL
24
13
0
14 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
CLL
TTA
35
2
0
12 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
42
0
0
10 Jul 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning
MagMax: Leveraging Model Merging for Seamless Continual Learning
Daniel Marczak
Bartłomiej Twardowski
Tomasz Trzciñski
Sebastian Cygert
MoMe
CLL
39
17
0
08 Jul 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts
  for Cross-multidomain Facial Expression Recognition
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition
Yuxiang Yang
L. Wen
Xinyi Zeng
Yuanyuan Xu
Xi Wu
Jiliu Zhou
Yan Wang
23
3
0
08 Jul 2024
Personalized Federated Domain-Incremental Learning based on Adaptive
  Knowledge Matching
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
Yichen Li
Wenchao Xu
Haozhao Wang
Ruixuan Li
Yining Qi
Jingcai Guo
CLL
30
13
0
06 Jul 2024
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot
  Unsupervised Domain Adaptation
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Wanqi Yang
Haoran Wang
Lei Wang
Ge Song
Yang Gao
27
0
0
04 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional
  Diffusion Models for Domain Generalization
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
38
1
0
04 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
43
3
0
02 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
46
3
0
01 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
CPT: Consistent Proxy Tuning for Black-box Optimization
Yuanyang He
Zitong Huang
Xinxing Xu
Rick Siow Mong Goh
Salman Khan
W. Zuo
Yong Liu
Chun-Mei Feng
30
0
0
01 Jul 2024
Exclusive Style Removal for Cross Domain Novel Class Discovery
Exclusive Style Removal for Cross Domain Novel Class Discovery
Yicheng Wang
Feng Liu
Junmin Liu
Zhen Fang
Kai Sun
34
1
0
26 Jun 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
29
1
0
24 Jun 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental
  Learning Method
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran
Elahe Arani
Bahram Zonooz
CLL
39
3
0
23 Jun 2024
Word Matters: What Influences Domain Adaptation in Summarization?
Word Matters: What Influences Domain Adaptation in Summarization?
Yinghao Li
Siyu Miao
Heyan Huang
Yang Gao
38
3
0
21 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation
  Learning Perspective for Enhancing Robustness, Discrimination, and
  Generalization
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization
Jia-Li Yin
Haoyuan Zheng
Ximeng Liu
AAML
26
0
0
19 Jun 2024
Cross-domain Open-world Discovery
Cross-domain Open-world Discovery
Shuo Wen
Maria Brbic
OOD
40
3
0
17 Jun 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
44
1
0
17 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with
  Transferability Modeling
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
26
3
0
14 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
37
0
0
14 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
31
5
0
13 Jun 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality
  Generation
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
Lincan Cai
Shuang Li
Wenxuan Ma
Jingxuan Kang
Binhui Xie
Zixun Sun
Chengwei Zhu
MoE
MoMe
35
0
0
13 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
52
0
0
13 Jun 2024
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
45
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
19
0
0
10 Jun 2024
Visual Prompt Tuning in Null Space for Continual Learning
Visual Prompt Tuning in Null Space for Continual Learning
Yue Lu
Shizhou Zhang
De-Chun Cheng
Yinghui Xing
N. Wang
Peng Wang
Yanning Zhang
VLM
VPVLM
CLL
22
8
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
26
0
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
27
0
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
25
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
OOD
MLT
OODD
69
3
0
05 Jun 2024
Continual Unsupervised Out-of-Distribution Detection
Continual Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
31
0
0
04 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
62
1
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
24
0
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
32
0
0
01 Jun 2024
Effectiveness of Vision Language Models for Open-world Single Image Test
  Time Adaptation
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation
Manogna Sreenivas
Soma Biswas
VLM
43
0
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
43
1
0
01 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching
  Gap
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Michal Klein
James Thornton
Marco Cuturi
38
2
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
19
7
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
37
2
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
31
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-Qin Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
44
11
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-Qin Zhang
Yanfeng Wang
36
7
0
29 May 2024
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