Flipped-Adversarial AutoEncoders

Preprint English OPEN
Zhang, Jiyi ; Dang, Hung ; Lee, Hwee Kuan ; Chang, Ee-Chien (2018)
  • Subject: Computer Science - Learning
    arxiv: Statistics::Machine Learning

We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an encoder E that embodies an "inverse mapping" that encodes a data sample into a latent code v... View more
  • References (19)
    19 references, page 1 of 2

    Chang, Ming-Wei, Ratinov, Lev-Arie, Roth, Dan, and Srikumar, Vivek. Importance of semantic representation: Dataless classification. In AAAI, volume 2, pp. 830-835, 2008.

    Dang, Hung, Huang, Yue, and Chang, Ee-Chien. Evading classifiers by morphing in the dark. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp. 119-133. ACM, 2017.

    Denton, Emily L, Chintala, Soumith, Fergus, Rob, et al. Deep generative image models using a laplacian pyramid of adversarial networks. In Advances in neural information processing systems, pp. 1486-1494, 2015.

    Donahue, Jeff, Kra¨henbu¨hl, Philipp, and Darrell, Trevor. Adversarial feature learning. arXiv preprint arXiv:1605.09782, 2016.

    Dumoulin, Vincent, Belghazi, Ishmael, Poole, Ben, Lamb, Alex, Arjovsky, Martin, Mastropietro, Olivier, and Courville, Aaron. Adversarially learned inference. arXiv preprint arXiv:1606.00704, 2016.

    Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua. Generative adversarial nets. In Advances in neural information processing systems, pp. 2672-2680, 2014.

    Griffiths, Thomas L, Steyvers, Mark, and Tenenbaum, Joshua B. Topics in semantic representation. Psychological review, 114(2):211, 2007.

    Huang, Xun, Li, Yixuan, Poursaeed, Omid, Hopcroft, John, and Belongie, Serge. Stacked generative adversarial networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pp. 4, 2017.

    Ioffe, Sergey and Szegedy, Christian. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning, pp. 448-456, 2015.

    Jaiswal, Ayush, AbdAlmageed, Wael, Wu, Yue, and Natarajan, Premkumar. Bidirectional conditional generative adversarial networks. arXiv preprint arXiv:1711.07461, 2017.

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