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1812.01754
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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"
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Wen Li
Luc Van Gool
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Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2020
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Ajad Chhatkuli
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Shiori Sagawa
Henrik Marklund
Sang Michael Xie
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Emma Pierson
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
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Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
331
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14 Dec 2020
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2020
Shuang Li
Fangrui Lv
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Chi Harold Liu
Jian Liang
Chen Qin
123
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13 Dec 2020
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
British Machine Vision Conference (BMVC), 2020
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Yuhong Guo
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Weihong Deng
220
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07 Dec 2020
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
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Kekai Sheng
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
D. Zhou
Changsheng Xu
229
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C. Chastagnol
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C´eline Hudelot
133
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0
03 Dec 2020
Heuristic Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2020
Shuhao Cui
Xuan Jin
Shuhui Wang
Yuan He
Qingming Huang
182
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30 Nov 2020
Insights From A Large-Scale Database of Material Depictions In Paintings
Hubert Lin
Mitchell J. P. van Zuijlen
M. Wijntjes
S. Pont
Kavita Bala
193
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24 Nov 2020
Your "Flamingo" is My "Bird": Fine-Grained, or Not
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Kaiyue Pang
Yixiao Zheng
Zhanyu Ma
Yi-Zhe Song
Jun Guo
274
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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
The Web Conference (WWW), 2020
Sicheng Zhao
Yang Xiao
Jiang Guo
Xiangyu Yue
Jufeng Yang
Ravi Krishna
Pengfei Xu
Kurt Keutzer
285
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Interventional Domain Adaptation
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Changjian Shui
Kun Kuang
Junsong Yuan
Zenan Huang
Zhefeng Gong
Nenggan Zheng
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111
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Universal Multi-Source Domain Adaptation
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Zhen Yang
Haifeng Hu
Xiaofu Wu
197
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05 Nov 2020
Mixed Set Domain Adaptation
Sitong Mao
Keli Zhang
K. F. Chung
85
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Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging
IEEE Transactions on Medical Imaging (TMI), 2020
Qingjie Meng
Jacqueline Matthew
V. Zimmer
Alberto Gómez
D. Lloyd
Daniel Rueckert
Bernhard Kainz
OOD
182
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30 Oct 2020
Domain adaptation under structural causal models
Journal of machine learning research (JMLR), 2020
Yuansi Chen
Peter Buhlmann
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OOD
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329
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29 Oct 2020
Teacher-Student Consistency For Multi-Source Domain Adaptation
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Gal Chechik
TTA
156
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20 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
IEEE International Conference on Computer Vision (ICCV), 2020
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
300
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16 Oct 2020
Improved Multi-Source Domain Adaptation by Preservation of Factors
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Stephan Hasler
J. Adamy
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165
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Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji
Ramalingam Chellappa
Soheil Feizi
OT
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12 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning
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Xiang Yu
Yi-Hsuan Tsai
Francesco Pittaluga
M. Faraki
Manmohan Chandraker
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FedML
200
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09 Oct 2020
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2020
Yue Liu
Yezhen Wang
Shanghang Zhang
Dongsheng Li
Trevor Darrell
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290
113
0
09 Oct 2020
Integrating Categorical Semantics into Unsupervised Domain Translation
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Faruk Ahmed
Aaron Courville
223
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Ensemble Multi-Source Domain Adaptation with Pseudolabels
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58
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Domain Generalization via Semi-supervised Meta Learning
Hossein Sharifi-Noghabi
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Nazanin Mehrasa
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146
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26 Sep 2020
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2020
Sicheng Zhao
Yezhen Wang
Yue Liu
Bichen Wu
Yang Gao
Pengfei Xu
Trevor Darrell
Kurt Keutzer
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269
107
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07 Sep 2020
A Survey on Negative Transfer
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Wen Zhang
Lingfei Deng
Lei Zhang
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308
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02 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Yue Liu
Han Zhao
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Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
Kurt Keutzer
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Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
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Yogesh Balaji
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273
225
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28 Aug 2020
What is being transferred in transfer learning?
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Behnam Neyshabur
Hanie Sedghi
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A Discriminative Technique for Multiple-Source Adaptation
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M. Mohri
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181
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25 Aug 2020
Network Architecture Search for Domain Adaptation
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Xingchao Peng
OOD
169
15
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13 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift
International Conference on Learning Representations (ICLR), 2020
Shibani Santurkar
Dimitris Tsipras
Aleksander Madry
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218
191
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Learning to Cluster under Domain Shift
European Conference on Computer Vision (ECCV), 2020
Willi Menapace
Stéphane Lathuilière
Elisa Ricci
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121
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Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yuan Yao
Xutao Li
Yu Zhang
Yunming Ye
203
37
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06 Aug 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions
International Conference on Learning Representations (ICLR), 2020
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
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AAML
376
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Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
IEEE International Conference on Computer Vision (ICCV), 2020
Luyu Yang
Yan Wang
M. Gao
Abhinav Shrivastava
Kilian Q. Weinberger
Wei-Lun Chao
Ser-Nam Lim
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408
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24 Jul 2020
Towards Recognizing Unseen Categories in Unseen Domains
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Zeynep Akata
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A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yishay Mansour
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275
29
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Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
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Taekyung Kim
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248
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Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
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Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
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Hang Wang
Minghao Xu
Bingbing Ni
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291
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FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
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Chih-Yao Ma
Jia-Bin Huang
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188
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Transferable Calibration with Lower Bias and Variance in Domain Adaptation
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Mingsheng Long
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176
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Timothy M. Hospedales
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Adaptive Risk Minimization: Learning to Adapt to Domain Shift
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Henrik Marklund
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