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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
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OODVLM3DV
237
43
0
06 Dec 2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Unsupervised Domain Generalization by Learning a Bridge Across DomainsComputer Vision and Pattern Recognition (CVPR), 2021
Sivan Harary
Eli Schwartz
Assaf Arbelle
Peter W. J. Staar
Shady Abu Hussein
...
Hildegard Kuehne
Dina Katabi
Kate Saenko
Rogerio Feris
Leonid Karlinsky
OOD
299
54
0
04 Dec 2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and
  Curriculum Learning
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang
Tiancheng Lin
Yi Tian Xu
206
7
0
03 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
199
12
0
01 Dec 2021
Unsupervised Domain Adaptation: A Reality Check
Unsupervised Domain Adaptation: A Reality Check
Kevin Musgrave
Serge Belongie
Ser-Nam Lim
188
24
0
30 Nov 2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Semi-supervised Domain Adaptation via Sample-to-Sample Self-DistillationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Jeongbeen Yoon
Dahyun Kang
Minsu Cho
TTA
143
45
0
29 Nov 2021
On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources
On Learning Domain-Invariant Representations for Transfer Learning with Multiple SourcesNeural Information Processing Systems (NeurIPS), 2021
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OODAI4CE
188
22
0
27 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road aheadInformation Fusion (Inf. Fusion), 2021
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
182
107
0
26 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Data Invariants to Understand Unsupervised Out-of-Distribution DetectionEuropean Conference on Computer Vision (ECCV), 2021
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
232
7
0
26 Nov 2021
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win
  Transformer for Unsupervised Domain Adaptation
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
ViT
188
13
0
25 Nov 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Binhui Xie
Kejia Yin
Shuang Li
235
12
0
24 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining
  Competitive Performance in Federated Learning
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Yuezhou Wu
Weijing Chen
Jiahuan Luo
Yuanqin He
Qiang Yang
FedMLAAML
360
91
0
16 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
678
18
0
11 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Variational Multi-Task Learning with Gumbel-Softmax PriorsNeural Information Processing Systems (NeurIPS), 2021
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
160
35
0
09 Nov 2021
Unified Group Fairness on Federated Learning
Unified Group Fairness on Federated Learning
Tai-wei Chang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Leilei Gan
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
375
21
0
09 Nov 2021
Domain Attention Consistency for Multi-Source Domain Adaptation
Domain Attention Consistency for Multi-Source Domain Adaptation
Zhongying Deng
Kaiyang Zhou
Yongxin Yang
Tao Xiang
225
7
0
06 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
A Prototype-Oriented Framework for Unsupervised Domain AdaptationNeural Information Processing Systems (NeurIPS), 2021
Korawat Tanwisuth
Xinjie Fan
Huangjie Zheng
Shujian Zhang
A. Leon-Garcia
Bo Chen
Mingyuan Zhou
322
122
0
22 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution ShiftInternational Conference on Learning Representations (ICLR), 2021
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
629
243
0
21 Oct 2021
Robustness through Data Augmentation Loss Consistency
Robustness through Data Augmentation Loss Consistency
Tianjian Huang
Shaunak Halbe
Chinnadhurai Sankar
P. Amini
Satwik Kottur
A. Geramifard
Meisam Razaviyayn
Ahmad Beirami
OOD
389
10
0
21 Oct 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
242
10
0
18 Oct 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
257
165
0
18 Oct 2021
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic
  Segmentation
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang
Zhuo Zheng
A. Ma
Xiaoyan Lu
Yanfei Zhong
648
515
0
17 Oct 2021
Reappraising Domain Generalization in Neural Networks
Reappraising Domain Generalization in Neural Networks
S. Sivaprasad
Akshay Goindani
Vaibhav Garg
Ritam Basu
Saiteja Kosgi
Vineet Gandhi
OODAI4CE
264
6
0
15 Oct 2021
Content Preserving Image Translation with Texture Co-occurrence and
  Spatial Self-Similarity for Texture Debiasing and Domain Adaptation
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation
Hao Li
Dongkyu Won
Wei Lu
Philip Chikontwe
Pengjun Xie
June Hong Ahn
Sang Hyun Park
350
41
0
15 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
371
757
0
09 Oct 2021
Conceptual Expansion Neural Architecture Search (CENAS)
Conceptual Expansion Neural Architecture Search (CENAS)
M. Singamsetti
Anmol Mahajan
Matthew J. Guzdial
3DPC
167
1
0
07 Oct 2021
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across
  Domain Gap
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
T. Park
Marcus Märtens
Gurvan Lécuyer
Dario Izzo
Simone DÁmico
398
136
0
06 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift
Test-time Batch Statistics Calibration for Covariate Shift
Fuming You
Jingjing Li
Zhou Zhao
OOD
179
60
0
06 Oct 2021
Instrumental Variable-Driven Domain Generalization with Unobserved
  Confounders
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Junkun Yuan
Xu Ma
Ruoxuan Xiong
Biwei Huang
Xiangyu Liu
Leilei Gan
Lanfen Lin
Kun Kuang
OODCML
305
13
0
04 Oct 2021
Seeking Similarities over Differences: Similarity-based Domain Alignment
  for Adaptive Object Detection
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran
Rakshith Shetty
Rahaf Aljundi
Daniel Olmeda Reino
Shanshan Zhang
Bernt Schiele
OOD
282
88
0
04 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Leilei Gan
Lanfen Lin
368
26
0
02 Oct 2021
Disentangled Feature Representation for Few-shot Image Classification
Disentangled Feature Representation for Few-shot Image ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Hao Cheng
Yufei Wang
Haoliang Li
Alex C. Kot
Bihan Wen
234
44
0
26 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
274
17
0
25 Sep 2021
Multi-Source Video Domain Adaptation with Temporal Attentive Moment
  Alignment
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
Yuecong Xu
Jianfei Yang
Haozhi Cao
Keyu Wu
Ruibing Jin
Rui Zhao
Zhenghua Chen
TTA
197
28
0
21 Sep 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
199
33
0
18 Sep 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu
Weihua Chen
Pichao Wang
Fan Wang
Hao Li
Rong Jin
ViT
586
277
0
13 Sep 2021
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OODDRL
289
34
0
13 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across
  Datasets
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets
Fahim Tajwar
Ananya Kumar
Sang Michael Xie
Abigail Z. Jacobs
OODD
223
32
0
12 Sep 2021
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain
  Adaptation
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain AdaptationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Gengxin Xu
Chen Liu
Jun Liu
Z. Ding
F. Shi
...
Xiaoming Li
Ying Wei
Yaozong Gao
Chuan-Xian Ren
Dinggang Shen
OOD
157
40
0
08 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationInternational Conference on Machine Learning (ICML), 2021
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
396
247
0
07 Sep 2021
Improving Transferability of Domain Adaptation Networks Through Domain
  Alignment Layers
Improving Transferability of Domain Adaptation Networks Through Domain Alignment LayersSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021
Lucas Fernando Alvarenga e Silva
Daniel Carlos Guimarães Pedronette
F. Faria
João Paulo Papa
Jurandy Almeida
108
7
0
06 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Tianyu Wang
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
524
631
0
31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several
  distribution shifts
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
217
3
0
30 Aug 2021
Reiterative Domain Aware Multi-Target Adaptation
Reiterative Domain Aware Multi-Target AdaptationGerman Conference on Pattern Recognition (DAGM), 2021
Sudipan Saha
Shan Zhao
Nasrullah Sheikh
Xiao Xiang Zhu
169
2
0
26 Aug 2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via
  Soft Neighborhood Density
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityIEEE International Conference on Computer Vision (ICCV), 2021
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Stan Sclaroff
Trevor Darrell
Kate Saenko
153
67
0
24 Aug 2021
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
Shuhao Qiu
Chuang Zhu
Wenli Zhou
VLMOOD
126
11
0
24 Aug 2021
Personalised Federated Learning: A Combinational Approach
Personalised Federated Learning: A Combinational Approach
Sone Kyaw Pye
Han Yu
FedML
141
6
0
22 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
184
0
0
20 Aug 2021
Universal Cross-Domain Retrieval: Generalizing Across Classes and
  Domains
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
Soumava Paul
Titir Dutta
Soma Biswas
229
18
0
18 Aug 2021
Federated Multi-Target Domain Adaptation
Federated Multi-Target Domain Adaptation
Chun-Han Yao
Boqing Gong
Huayu Chen
Qi
Yukun Zhu
Ming-Hsuan Yang
OODFedML
193
76
0
17 Aug 2021
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