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We investigate the problem of learning representations that are invariant to certain nuisance or sensitive factors of variation in the data while retaining as much of the remaining information as possible.
Detecting change in data streams
Kifer, Daniel, Ben-David, Shai, and Gehrke, Johannes · 2004
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A kernel method for the two-sample-problem
Gretton, Arthur, Borgwardt, Karsten M, Rasch, Malte, Schölkopf, Bernhard, and Smola, Alex J · 2006
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Analysis of representations for domain adaptation
Ben-David, Shai, Blitzer, John, Crammer, Koby, Pereira, Fernando, et al · 2007
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Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning
Rahimi, Ali and Recht, Benjamin · 2009
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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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UCI machine learning repository, 2010
Frank, A. and Asuncion, A · 2010
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Marginalized denoising autoencoders for domain adaptation
Chen, Minmin, Xu, Zhixiang, Weinberger, Kilian, and Sha, Fei · 2012
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Barnes-Hut-SNE
van der Maaten, L · 2013
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Learning fair representations
Zemel, Rich, Wu, Yu, Swersky, Kevin, Pitassi, Toni, and Dwork, Cynthia · 2013
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Fastmmd: Ensemble of circular discrepancy for efficient two-sample test
Zhao, Ji and Meng, Deyu · 2013
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Auto-encoding variational bayes
Kingma, Diederik P and Welling, Max · 2014
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Semi-supervised learning with deep generative models
Kingma, Diederik P, Mohamed, Shakir, Rezende, Danilo Jimenez, and Welling, Max · 2014
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Li, Yujia, Swersky, Kevin, and Zemel, Richard · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Rezende, Danilo Jimenez, Mohamed, Shakir, and Wierstra, Daan · 2014
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Deep domain confusion: Maximizing for domain invariance
Tzeng, Eric, Hoffman, Judy, Zhang, Ning, Saenko, Kate, and Darrell, Trevor · 2014
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Domain-Adversarial Training of Neural Networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., and Lempitsky, V · 2015
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Adam: A method for stochastic optimization
Kingma, Diederik P and Ba, Jimmy · 2015
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Long, Mingsheng and Wang, Jianmin · 2015
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