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  3. Addressing the Rare Word Problem in Neural Machine Translation/T. Luong et al. //Proc. 53rd ACL and the 7th IJCNLP, Vol. 1: Long Papers, Beijing, China: ACL, 2015. – P. 11-19.

  4. Adversarial Autoencoders / A. Makhzani et al. // arXiv, 2015. http://arxiv.org/abs/ 1511.05644.

  5. Aggarwal С. C., Reddy С. K. Data Clustering: Algorithms and Applications, Chapman and Hall/ CRC, 2013. 6. Antipov G.y Baccouche М., DugelayJ. Face Aging With Conditional Generative Adversarial Networks //arXiv, 2017. http://arxiv.org/abs/1702.01983.






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