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This work includes a number of novel contributions for the multiple-source adaptation problem.
On measures of entropy and information
A. Rényi · 1961
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Convex analysis approach to DC programming: theory, algorithms and applications
P. D. Tao and L. T. H. An · 1997
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A DC optimization algorithm for solving the trust-region subproblem
P. D. Tao and L. T. H. An · 1998
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The concave-convex procedure
A. L. Yuille and A. Rangarajan · 2003
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Information Measures: Information and its Description in Science and Engineering
C. Arndt · 2004
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Elements of Information Theory
T. M. Cover and J. M. Thomas · 2006
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Correcting sample selection bias by unlabeled data
J. Huang, A. J. Smola, A. Gretton, K. M. Borgwardt, and B. Schölkopf · 2006
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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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Cross-domain video concept detection using adaptive svms
J. Yang, R. Yan, and A. G. Hauptmann · 2007
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Confidence-weighted linear classification
M. Dredze, K. Crammer, and F. Pereira · 2008
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Domain adaptation with multiple sources
Y. Mansour, M. Mohri, and A. Rostamizadeh · 2008
Earlier work this paper cites.
Multiple source adaptation and the Rényi divergence
Y. Mansour, M. Mohri, and A. Rostamizadeh · 2009
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A survey on transfer learning
S. J. Pan and Q. Yang · 2010
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Adapting visual category models to new domains
K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
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Unbiased look at dataset bias
A. Torralba and A. Efros · 2011
Cited alongside, same era.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
Cited alongside, same era.
Discovering latent domains for multisource domain adaptation
J. Hoffman, B. Kulis, T. Darrell, and K. Saenko · 2012
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Speaker adaptation of context dependent deep neural networks
H. Liao · 2013
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Domain generalization via invariant feature representation
K. Muandet, D. Balduzzi, and B. Schölkopf · 2013
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Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Exploiting low-rank structure from latent domains for domain generalization
Z. Xu, W. Li, L. Niu, and D. Xu · 2014
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Unsupervised domain adaptation by backpropagation
Y. Ganin and V. Lempitsky · 2015
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The opengrm open-source finite-state grammar software libraries
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A proof of convergence of the concave-convex procedure using Zangwill’s theory
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Efficient learning of domain-invariant image representations
J. Hoffman, E. Rodner, J. Donahue, K. Saenko, and T. Darrell · 2013
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Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
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Reshaping visual datasets for domain adaptation
B. Gong, K. Grauman, and F. Sha
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Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
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Simultaneous deep transfer across domains and tasks
E. Tzeng, J. Hoffman, T. Darrell, and K. Saenko · 2015
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Multi-source domain adaptation: A causal view
K. Zhang, M. Gong, and B. Schoelkopf · 2015
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Unsupervised cross-domain image generation
Y. Taigman, A. Polyak, and L. Wolf · 2017
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