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The problem of domain generalization is to take knowledge acquired from a number of related domains where training data is available, and to then successfully apply it to previously unseen domains.
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Marginalized Denoising Autoencoders for Domain Adaptation
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Domain Generalization via Invariant Feature Representation
K. Muandet, D. Balduzzi, and B. Schölkopf · 2013
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Domain Adaptation on the Statistical Manifold
M. Baktashmotlagh, M. T. Harandi, B. C. Lovell, and M. Salzmann · 2014
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
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Exploiting Low-Rank Structure from Latent Domains for Domain Generalization
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