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We address the problem of domain generalization where a decision function is learned from the data of several related domains, and the goal is to apply it on an unseen domain successfully.
Multitask learning
R. Caruana · 1998
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Covariate shift by kernel mean matching
A. Gretton, A. Smola, J. Huang, M. Schmittfull, K. Borgwardt, and B. Schölkopf · 2009
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Universal kernels on non-standard input spaces
A. Christmann and I. Steinwart · 2010
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Generalizing from several related classification tasks to a new unlabeled sample
G. Blanchard, G. Lee, and C. Scott · 2011
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Undoing the damage of dataset bias
A. Khosla, T. Zhou, T. Malisiewicz, A. A. Efros, and A. Torralba · 2012
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Support distribution machines
B. Póczos, L. Xiong, D. J. Sutherland, and J. Schneider · 2012
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Domain generalization via invariant feature representation
K. Muandet, D. Balduzzi, and B. Schölkopf · 2013
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Domain generalization for object recognition with multi-task autoencoders
M. Ghifary, W. B. Kleijn, M. Zhang, and D. Balduzzi · 2015
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H. Edwards and A. Storkey · 2016
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Learning attributes equals multi-source domain generalization
C. Gan, T. Yang, and B. Gong · 2016
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Learning theory for distribution regression
Z. Szabó, B. Sriperumbudur, B. Póczos, and A. Gretton · 2016
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A gaussian process regression model for distribution inputs
F. Bachoc, F. Gamboa, J.-M. Loubes, and N. Venet · 2017
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Multiclass domain generalization
A. A. Deshmukh, S. Sharma, J. W. Cutler, and C. Scott · 2017
Learning to generalize: Meta-learning for domain generalization
D. Li, Y. Yang, Y. Song, and T. M. Hospedales · 2017
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Deeper, broader and artier domain generalization
D. Li, Y. Yang, Y.-Z. Song, and T. M. Hospedales · 2017
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Unified deep supervised domain adaptation and generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, and G. Doretto · 2017
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Learning what to share between loosely related tasks
S. Ruder, J. Bingel, I. Augenstein, and A. Søgaard · 2017
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M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola · 2017
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Scatter component analysis: A unified framework for domain adaptation and domain generalization
M. Ghifary, D. Balduzzi, W. B. Kleijn, and M. Zhang · 2017
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Bayesian approaches to distribution regression
H. C. L. Law, D. Sutherland, D. Sejdinovic, and S. Flaxman · 2018
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