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We combine conditional variational autoencoders (VAE) with adversarial censoring in order to learn invariant representations that are disentangled from nuisance/sensitive variations.
The IM algorithm: a variational approach to information maximization
D. Barber and F. Agakov · 2003
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Learning fair representations
R. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork · 2013
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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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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Censoring representations with an adversary
H. Edwards and A. Storkey · 2015
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D. Kingma and J. Ba · 2015
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Learning structured output representation using deep conditional generative models
K. Sohn, H. Lee, and X. Yan · 2015
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Chainer: a next-generation open source framework for deep learning
S. Tokui, K. Oono, S. Hido, and J. Clayton · 2015
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, H. Larochelle, and O. Winther · 2016
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The variational fair autoencoder
C. Louizos, K. Swersky, Y. Li, M. Welling, and R. Zemel · 2016
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Adversarial autoencoders
A. Makhzani, J. Shlens, N. Jaitly, I. Goodfellow, and B. Frey · 2016
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Disentangling factors of variation in deep representation using adversarial training
M. F. Mathieu, J. J. Zhao, J. Zhao, A. Ramesh, P. Sprechmann, and Y. LeCun · 2016
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Adversarial feature learning
J. Donahue, P. Krähenbühl, and T. Darrell · 2017
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Minimax filter: Learning to preserve privacy from inference attacks
J. Hamm · 2017
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Privacy issues regarding the application of DNNs to activity-recognition using wearables and its countermeasures by use of adversarial training
Y. Iwasawa, K. Nakayama, I. E. Yairi, and Y. Matsuo · 2017
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Learning to pivot with adversarial networks
G. Louppe, M. Kagan, and K. Cranmer · 2017
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Adversarial variational bayes: Unifying variational autoencoders and generative adversarial networks
L. Mescheder, S. Nowozin, and A. Geiger · 2017
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Adversarial representation learning for domain adaptation
J. Shen, Y. Qu, W. Zhang, and Y. Yu · 2017
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Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville · 2017
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Adversarial discriminative domain adaptation
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell · 2017
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Controllable invariance through adversarial feature learning
Q. Xie, Z. Dai, Y. Du, E. Hovy, and G. Neubig · 2017
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