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We propose a simple neural network model to deal with the domain adaptation problem in object recognition.
Support-Vector Networks
C. Cortes and V. N. Vapnik · 1995
Earlier work this paper cites.
On the influence of the kernel on the consistency of support vector machines
I. Steinwart · 2002
Earlier work this paper cites.
Integrating structured biological data by kernel maximum mean discrepancy
K. M. Borgwardt, A. Gretton, M. J. Rasch, H.-P. Kriegel, B. Schölkopf, and A. J. Smola · 2006
Earlier work this paper cites.
Greedy layer-wise training of deep networks
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle · 2007
Earlier work this paper cites.
Surf: Speeded up robust features
H. Bay, T. Tuytelaars, and L. V. Gool · 2008
Earlier work this paper cites.
Frustratingly easy domain adaptation
H. Daumé-III · 2009
Earlier work this paper cites.
Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2009
Earlier work this paper cites.
Why does unsupervised pre-training help deep learning?
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Rectified linear units improve restricted boltzmann machines
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P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
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Deep sparse rectifier neural network
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Representation learning: A review and new perspectives
Y. Bengio, A. C. Courville, and P. Vincent · 2012
Later among the works it cites.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Sch’́olkopf, and A. Smola · 2012
Later among the works it cites.
Improving neural networks by preventing co-adaptation of feature detectors
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2012
Later among the works it cites.
Unsupervised domain adaptation by domain invariant projection
M. Baktashmotlagh, M. T. Harandi, B. C. Lovell, and M. Salzmann · 2013
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Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellapa · 2011
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Y. Bengio · 2013
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Transfer sparse coding for robust image representation
M. Long, G. Ding, J. Wang, J. Sun, Y. Guo, and P. S. Yu · 2013
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