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We present an algorithm that learns representations which explicitly compensate for domain mismatch and which can be efficiently realized as linear classifiers.
Domain adaptation with structural correspondence learning
John Blitzer, Ryan McDonald, and Fernando Pereira · 2006
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Adapting svm classifiers to data with shifted distributions
J. Yang, R. Yan, and A. Hauptmann · 2007
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Regularized adaptation: Theory, algorithms and applications
X. Li · 2007
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Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
J. Blitzer, M. Dredze, and F. Pereira · 2007
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Frustratingly easy domain adaptation
H. Daume III · 2007
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Analysis of representations for domain adaptation
S. Ben-david, J. Blitzer, K. Crammer, and O. Pereira · 2007
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Instance weighting for domain adaptation in nlp
J. Jiang and C. X. Zhai · 2007
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Caltech-256 object category dataset
G. Griffin, A. Holub, and P. Perona · 2007
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Learning to recognize activities from the wrong view point
A. Farhadi and M. K. Tabrizi · 2008
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Translated learning: Transfer learning across different feature spaces
W. Dai, Y. Chen, G. Xue, Q. Yang, and Y. Yu · 2008
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Cross-domain learning methods for high-level visual concept classification
W. Jiang, E. Zavesky, S. Chang, and A. Loui · 2008
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LIBLINEAR: A library for large linear classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin · 2008
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Domain transfer svm for video concept detection
L. Duan, I. W. Tsang, D. Xu, and S. J. Maybank · 2009
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Poselets: Body part detectors trained using 3d human pose annotations
Lubomir Bourdev and Jitendra Malik · 2009
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Adapting visual category models to new domains
Unbiased look at dataset bias
A. Torralba and A. Efros · 2011
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Tabula rasa: Model transfer for object category detection
Y. Aytar and A. Zisserman · 2011
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What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
B. Kulis, K. Saenko, and T. Darrell · 2011
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Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellappa · 2011
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LIBSVM: A library for support vector machines
Chih-Chung Chang and Chih-Jen Lin · 2011
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Learning with augmented features for heterogeneous domain adaptation
Lixin Duan, Dong Xu, and Ivor W. Tsang · 2012
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K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
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Visual event recognition in videos by learning from web data
L. Duan, D. Xu, I. Tsang, and J. Luo · 2010
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Object detection with discriminatively trained part based models
D. McAllester P. Felzenszwalb, R. Girshick and D. Ramanan · 2010
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Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach
A. Bergamo and L. Torresani · 2010
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A literature survey on domain adaptation of statistical classifiers
J. Jiang
Cited in the paper.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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Deep learning of representations for unsupervised and transfer learning
Yoshua Bengio · 2012
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