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This paper proposes an importance weighted adversarial nets-based method for unsupervised domain adaptation, specific for partial domain adaptation where the target domain has less number of classes compared to the source domain.
Semi-supervised learning by entropy minimization
Y. Grandvalet and Y. Bengio · 2005
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Caltech-256 object category dataset
G. Griffin, A. Holub, and P. Perona · 2007
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A theory of learning from different domains
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. W. Vaughan · 2010
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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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Y. Bengio · 2012
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Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Unsupervised visual domain adaptation using subspace alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Transfer feature learning with joint distribution adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. Yu · 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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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 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 domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
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How transferable are features in deep neural networks?
J. Yosinski, J. Clune, Y. Bengio, and H. Lipson · 2014
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Unsupervised domain adaptation by backpropagation
Deep coral: Correlation alignment for deep domain adaptation
B. Sun and K. Saenko · 2016
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Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
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Partial transfer learning with selective adversarial networks
Z. Cao, M. Long, J. Wang, and M. I. Jordan · 2017
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Revisiting batch normalization for practical domain adaptation
Y. Li, N. Wang, J. Shi, J. Liu, and X. Hou · 2017
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Deep transfer learning with joint adaptation networks
M. Long, J. Wang, and M. I. Jordan · 2017
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Autodial: Automatic domain alignment layers
F. Maria Carlucci, L. Porzi, B. Caputo, E. Ricci, and S. Rota Bulo · 2017
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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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Unsupervised domain adaptation with residual transfer networks
M. Long, H. Zhu, J. Wang, and M. I. Jordan · 2016
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Adversarial discriminative domain adaptation
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell · 2017
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Central moment discrepancy (cmd) for domain-invariant representation learning
W. Zellinger, T. Grubinger, E. Lughofer, T. Natschläger, and S. Saminger-Platz · 2017
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Joint geometrical and statistical alignment for visual domain adaptation
J. Zhang, W. Li, and P. Ogunbona · 2017
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