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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 / 1,211 papers shown
Semantic Concentration for Domain Adaptation
Semantic Concentration for Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2021
Shuang Li
Mixue Xie
Fangrui Lv
Chi Harold Liu
Jian Liang
C. Qin
Wei Li
184
103
0
12 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity EncodingACM Multimedia (ACM MM), 2021
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
123
12
0
06 Aug 2021
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with
  Adversarial Learning and Transfer Normalization
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
Wei Feng
Lie Ju
Lin Wang
Kaimin Song
Xin Wang
Xin Zhao
Qingyi Tao
Z. Ge
OODMedIm
214
4
0
04 Aug 2021
T-SVDNet: Exploring High-Order Prototypical Correlations for
  Multi-Source Domain Adaptation
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2021
Ruihuang Li
Xu Jia
Jianzhong He
Shuaijun Chen
Q. Hu
175
51
0
30 Jul 2021
VisDA-2021 Competition Universal Domain Adaptation to Improve
  Performance on Out-of-Distribution Data
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution DataNeural Information Processing Systems (NeurIPS), 2021
D. Bashkirova
Dan Hendrycks
Donghyun Kim
Samarth Mishra
Kate Saenko
Kuniaki Saito
Piotr Teterwak
Ben Usman
OOD
166
26
0
23 Jul 2021
Compositional Models: Multi-Task Learning and Knowledge Transfer with
  Modular Networks
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
A. Zhmoginov
D. Bashkirova
Mark Sandler
KELM
225
2
0
23 Jul 2021
Domain Adaptation without Model Transferring
Domain Adaptation without Model Transferring
Kunhong Wu
Yucheng Shi
Yahong Han
Yunfeng Shao
Bingshuai Li
Qi Tian
OOD
161
0
0
21 Jul 2021
A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
Rui Li
Ondrej Bohdal
Rajesh K. Mishra
Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
259
9
0
15 Jul 2021
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen
  Domains
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen DomainsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Puneet Mangla
Shivam Chandhok
V. Balasubramanian
Fahad Shahbaz Khan
VLMOOD
149
5
0
15 Jul 2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Ning Ma
Jiajun Bu
Lixian Lu
Jun Wen
Zhen Zhang
Sheng Zhou
Xifeng Yan
TTA
289
6
0
14 Jul 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without
  Source Data
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source DataKnowledge-Based Systems (KBS), 2021
Ning Ma
Jiajun Bu
Zhen Zhang
Sheng Zhou
TTA
210
17
0
14 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OODAI4CE
238
60
0
13 Jul 2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
323
29
0
13 Jul 2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen
  Domains
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
Shivam Chandhok
Sanath Narayan
Hisham Cholakkal
Rao Muhammad Anwer
V. Balasubramanian
Fahad Shahbaz Khan
Ling Shao
136
6
0
12 Jul 2021
Learning Invariant Representation with Consistency and Diversity for
  Semi-supervised Source Hypothesis Transfer
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
197
6
0
07 Jul 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized
  Knowledge Distillation
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang
Haoliang Li
Lap-pui Chau
Alex C. Kot
FedML
138
52
0
06 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set
  Domain Adaptation
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
Francesco Cappio Borlino
Barbara Caputo
Tatiana Tommasi
VLM
225
20
0
05 Jul 2021
MixStyle Neural Networks for Domain Generalization and Adaptation
MixStyle Neural Networks for Domain Generalization and Adaptation
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OODTTA
211
140
0
05 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
CLDA: Contrastive Learning for Semi-Supervised Domain AdaptationNeural Information Processing Systems (NeurIPS), 2021
Ankit Singh
485
136
0
30 Jun 2021
Multi-Source domain adaptation via supervised contrastive learning and
  confident consistency regularization
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularizationBritish Machine Vision Conference (BMVC), 2021
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
179
21
0
30 Jun 2021
Multi-Source Domain Adaptation for Object Detection
Multi-Source Domain Adaptation for Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Xingxu Yao
Sicheng Zhao
Pengfei Xu
Jufeng Yang
ObjD
195
51
0
30 Jun 2021
Domain Conditional Predictors for Domain Adaptation
Domain Conditional Predictors for Domain Adaptation
João Monteiro
Xavier Gibert
Jianqiao Feng
Vincent Dumoulin
Dar-Shyang Lee
OODTTAAI4CE
122
5
0
25 Jun 2021
Secure Domain Adaptation with Multiple Sources
Secure Domain Adaptation with Multiple Sources
Serban Stan
Mohammad Rostami
184
14
0
23 Jun 2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
ToAlign: Task-oriented Alignment for Unsupervised Domain AdaptationNeural Information Processing Systems (NeurIPS), 2021
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Zhizheng Zhang
Zhibo Chen
347
77
0
21 Jun 2021
Practical Transferability Estimation for Image Classification Tasks
Practical Transferability Estimation for Image Classification Tasks
Yang Tan
Yang Li
Shao-Lun Huang
OT
138
3
0
19 Jun 2021
Federated Robustness Propagation: Sharing Robustness in Heterogeneous
  Federated Learning
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Junyuan Hong
Haotao Wang
Zinan Lin
Jiayu Zhou
FedML
162
25
0
18 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with
  Logarithmic Environments
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic EnvironmentsNeural Information Processing Systems (NeurIPS), 2021
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
221
35
0
18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
CLL
198
13
0
18 Jun 2021
PAC Prediction Sets Under Covariate Shift
PAC Prediction Sets Under Covariate ShiftInternational Conference on Learning Representations (ICLR), 2021
Sangdon Park
Guang Cheng
Insup Lee
Osbert Bastani
270
49
0
17 Jun 2021
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in PythonInternational Conference on Information and Knowledge Management (CIKM), 2021
Haiping Lu
Xianyuan Liu
Robert Turner
Peizhen Bai
Raivo Koot
Shuo Zhou
Mustafa Chasmai
Lawrence Schobs
111
4
0
17 Jun 2021
Domain Consistency Regularization for Unsupervised Multi-source Domain
  Adaptive Classification
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
Zhipeng Luo
Xiaobing Zhang
Shijian Lu
Shuai Yi
231
24
0
16 Jun 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for
  Better Single-Source Domain Generalization
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
125
9
0
15 Jun 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2021
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
204
126
0
14 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
Break-It-Fix-It: Unsupervised Learning for Program RepairInternational Conference on Machine Learning (ICML), 2021
Michihiro Yasunaga
Abigail Z. Jacobs
240
120
0
11 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
654
144
0
11 Jun 2021
Probing transfer learning with a model of synthetic correlated datasets
Probing transfer learning with a model of synthetic correlated datasets
Federica Gerace
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
Lenka Zdeborová
OOD
182
37
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationInternational Conference on Learning Representations (ICLR), 2021
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
409
169
0
08 Jun 2021
Simulated Adversarial Testing of Face Recognition Models
Simulated Adversarial Testing of Face Recognition ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Nataniel Ruiz
Adam Kortylewski
Weichao Qiu
Cihang Xie
Sarah Adel Bargal
Alan Yuille
Stan Sclaroff
AAMLCVBM
182
16
0
08 Jun 2021
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain
  Adaptation
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2021
Zhekai Du
Jingjing Li
Hongzu Su
Lei Zhu
Ke Lu
174
194
0
08 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small DatasetsNeural Information Processing Systems (NeurIPS), 2021
Yahui Liu
E. Sangineto
Wei Bi
Andrii Zadaianchuk
Bruno Lepri
Marco De Nadai
ViT
180
213
0
07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationComputer Vision and Pattern Recognition (CVPR), 2021
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CMLOOD
286
129
0
07 Jun 2021
Generalized Domain Adaptation
Generalized Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2021
Yu Mitsuzumi
Go Irie
Daiki Ikami
Takashi Shibata
OOD
168
23
0
03 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
Kui Jia
Lei Zhang
164
29
0
01 Jun 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OODObjD
316
256
0
27 May 2021
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI
  Studies
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI StudiesNeural Information Processing Systems (NeurIPS), 2021
Dushyant Sahoo
Christos Davatzikos
OOD
152
3
0
13 May 2021
Aggregating From Multiple Target-Shifted Sources
Aggregating From Multiple Target-Shifted SourcesInternational Conference on Machine Learning (ICML), 2021
Changjian Shui
Zijian Li
Jiaqi Li
Christian Gagné
Charles Ling
Boyu Wang
232
33
0
09 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels
MetaKernel: Learning Variational Random Features with Limited LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yingjun Du
Haoliang Sun
Xiantong Zhen
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
VLMBDL
121
8
0
08 May 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Towards Novel Target Discovery Through Open-Set Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2021
Taotao Jing
Hongfu Liu
Zhengming Ding
438
38
0
06 May 2021
Switching Contexts: Transportability Measures for NLP
Switching Contexts: Transportability Measures for NLPInternational Conference on Computational Semantics (IWCS), 2021
G. Marshall
Mokanarangan Thayaparan
P. Osborne
André Freitas
OT
83
1
0
03 May 2021
Graphical Modeling for Multi-Source Domain Adaptation
Graphical Modeling for Multi-Source Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Minghao Xu
Hang Wang
Bingbing Ni
221
24
0
27 Apr 2021
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