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We introduce a new representation learning algorithm suited to the context of domain adaptation, in which data at training and test time come from similar but different distributions.
Detecting change in data streams
Kifer, Daniel, Ben-David, Shai, and Gehrke, Johannes · 2004
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Robust supervised learning
Bagnell, J. Andrew · 2005
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Analysis of representations for domain adaptation
Ben-David, Shai, Blitzer, John, Crammer, Koby, and Pereira, Fernando · 2006
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Domain adaptation with structural correspondence learning
Blitzer, John, McDonald, Ryan T., and Pereira, Fernando · 2006
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Extracting and composing robust features with denoising autoencoders
Vincent, Pascal, Larochelle, Hugo, Bengio, Yoshua, and Manzagol, Pierre-Antoine · 2008
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A theory of learning from different domains
Ben-David, Shai, Blitzer, John, Crammer, Koby, Kulesza, Alex, Pereira, Fernando, and Vaughan, Jennifer Wortman · 2010
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Domain adaptation problems: A DASVM classification technique and a circular validation strategy
Bruzzone, Lorenzo and Marconcini, Mattia · 2010
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Domain adaptation for large-scale sentiment classification: A deep learning approach
Glorot, Xavier, Bordes, Antoine, and Bengio, Yoshua · 2011
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Marginalized denoising autoencoders for domain adaptation
Chen, Minmin, Xu, Zhixiang Eddie, Weinberger, Kilian Q., and Sha, Fei · 2012
Cited alongside, same era.
Biased representation learning for domain adaptation
Huang, Fei and Yates, Alexander · 2012
Cited alongside, same era.
Bayesian comparison of machine learning algorithms on single and multiple datasets
Lacoste, Alexandre, Laviolette, François, and Marchand, Mario · 2012
Cited alongside, same era.
Unsupervised domain adaptation by domain invariant projection
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers
Germain, Pascal, Habrard, Amaury, Laviolette, François, and Morvant, Emilie · 2013
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Learning fair representations
Zemel, Richard S., Wu, Yu, Swersky, Kevin, Pitassi, Toniann, and Dwork, Cynthia · 2013
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Domain adaptation and sample bias correction theory and algorithm for regression
Cortes, Corinna and Mohri, Mehryar · 2014
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Generative adversarial nets
Goodfellow, Ian J., Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron C., and Bengio, Yoshua · 2014
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Unsupervised domain adaptation by domain invariant projection
Li, Yujia, Swersky, Kevin, and Zemel, Richard · 2014
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Robust classification under sample selection bias
Liu, Anqi and Ziebart, Brian D · 2014
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Baktashmotlagh, Mahsa, Harandi, Mehrtash, Lovell, Brian, and Salzmann, Mathieu · 2013
Cited alongside, same era.
Domain adaptation: Learning bounds and algorithms
Mansour, Yishay, Mohri, Mehryar, and Rostamizadeh, Afshin
Cited in the paper.
Multiple source adaptation and the rényi divergence
Mansour, Yishay, Mohri, Mehryar, and Rostamizadeh, Afshin
Cited in the paper.
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