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Domain adaptation aims at training a classifier in one dataset and applying it to a related but not identical dataset.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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One-shot learning of object categories
L. Fei-Fei, R. Fergus, and P. Perona · 2006
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80 million tiny images: A large data set for nonparametric object and scene recognition
A. Torralba, R. Fergus, and W. T. Freeman · 2008
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Pedestrian detection: A benchmark
P. Dollár, C. Wojek, B. Schiele, and P. Perona · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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Distribution matching for transduction
N. Quadrianto, J. Petterson, and A. J. Smola · 2009
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Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach
A. Bergamo and L. Torresani · 2010
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Theano: a CPU and GPU math expression compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
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Domain adaptation problems: A dasvm classification technique and a circular validation strategy
L. Bruzzone and M. Marconcini · 2010
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A survey on transfer learning
S. J. Pan and Q. Yang · 2010
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Domain adaptation for large-scale sentiment classification: A deep learning approach
X. Glorot, A. Bordes, and Y. Bengio · 2011
Cited alongside, same era.
Joint feature selection and subspace learning
Q. Gu, Z. Li, and J. Han · 2011
Cited alongside, same era.
Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2011
Cited alongside, same era.
Domain adaptation from multiple sources: A domain-dependent regularization approach
L. Duan, D. Xu, and I. W. Tsang · 2012
Cited alongside, same era.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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.
Semi-supervised domain adaptation with instance constraints
J. Donahue, J. Hoffman, E. Rodner, K. Saenko, and T. Darrell · 2013
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Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B. Gong, K. Grauman, and F. Sha · 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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Transfer feature learning with joint distribution adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2013
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Domain adaptive classification
F. Mirrashed and M. Rastegari · 2013
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Domain adaptation under target and conditional shift
K. Zhang, S. Bernhard, K. Muandet, and Z. Wang · 2013
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Large-scale knowledge transfer for object localization in imagenet
M. Guillaumin and V. Ferrari · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Knowledge transfer with low-quality data: a feature extraction issue
B. Quanz, J. L. Huan, and M. Mishra · 2012
Cited alongside, same era.
Selective transfer machine for personalized facial action unit detection
W.-S. Chu, F. D. L. Torre, and J. F. Cohn · 2013
Cited alongside, same era.
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Adaptation regularization: A general framework for transfer learning
M. Long, J. Wang, G. Ding, S. Pan, and P. Yu · 2014
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Transfer joint matching for unsupervised domain adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2014
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Deep learning of scene-specific classifier for pedestrian detection
X. Zeng, W. Ouyang, M. Wang, and X. Wang · 2014
Later among the works it cites.