-
2
-
-
84998888548
-
-
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio. Generating sentences from a continuous space. arXiv preprint arXiv: 1511.06349, 2015.
-
(2015)
Generating Sentences from a Continuous Space
-
-
Bowman, S.R.1
Vilnis, L.2
Vinyals, O.3
Dai, A.M.4
Jozefowicz, R.5
Bengio, S.6
-
4
-
-
85019228440
-
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
-
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Advances in Neural Information Processing Systems, pages 2172-2180, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 2172-2180
-
-
Chen, X.1
Duan, Y.2
Houthooft, R.3
Schulman, J.4
Sutskever, I.5
Abbeel, P.6
-
6
-
-
84979887690
-
Domain-adversarial training of neural networks
-
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. Domain-adversarial training of neural networks. Journal of Machine Learning Research, 17(59): 1-35, 2016.
-
(2016)
Journal of Machine Learning Research
, vol.17
, Issue.59
, pp. 1-35
-
-
Ganin, Y.1
Ustinova, E.2
Ajakan, H.3
Germain, P.4
Larochelle, H.5
Laviolette, F.6
Marchand, M.7
Lempitsky, V.8
-
7
-
-
84937849144
-
Generative adversarial nets
-
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in neural information processing systems, pages 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
8
-
-
85087331890
-
Beta-vae: Learning basic visual concepts with a constrained variational framework
-
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Mohamed Shakir, and Alexander Lerchner. beta-vae: Learning basic visual concepts with a constrained variational framework. Proceedings of ICLR 2017, 2017.
-
(2017)
Proceedings of ICLR 2017
-
-
Higgins, I.1
Matthey, L.2
Pal, A.3
Burgess, C.4
Glorot, X.5
Botvinick, M.6
Shakir, M.7
Lerchner, A.8
-
12
-
-
84965156877
-
Deep convolutional inverse graphics network
-
Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, and Josh Tenenbaum. Deep convolutional inverse graphics network. In Advances in Neural Information Processing Systems, pages 2539-2547, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 2539-2547
-
-
Kulkarni, T.D.1
Whitney, W.F.2
Kohli, P.3
Tenenbaum, J.4
-
13
-
-
84990029626
-
Precomputed real-time texture synthesis with Markovian generative adversarial networks
-
Springer
-
Chuan Li and Michael Wand. Precomputed real-time texture synthesis with markovian generative adversarial networks. In European Conference on Computer Vision, pages 702-716. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 702-716
-
-
Li, C.1
Wand, M.2
-
16
-
-
85018893392
-
Disentangling factors of variation in deep representation using adversarial training
-
Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun. Disentangling factors of variation in deep representation using adversarial training. In Advances in Neural Information Processing Systems, pages 5041-5049, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 5041-5049
-
-
Mathieu, M.F.1
Zhao, J.J.2
Zhao, J.3
Ramesh, A.4
Sprechmann, P.5
LeCun, Y.6
-
19
-
-
84986250442
-
Learning deep representations of fine-grained visual descriptions
-
Scott Reed, Zeynep Akata, Honglak Lee, and Bernt Schiele. Learning deep representations of fine-grained visual descriptions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 49-58, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 49-58
-
-
Reed, S.1
Akata, Z.2
Lee, H.3
Schiele, B.4
-
20
-
-
84965113821
-
Deep visual analogy-making
-
Scott E Reed, Yi Zhang, Yuting Zhang, and Honglak Lee. Deep visual analogy-making. In Advances in Neural Information Processing Systems, pages 1252-1260, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 1252-1260
-
-
Reed, S.E.1
Zhang, Y.2
Zhang, Y.3
Lee, H.4
-
21
-
-
0040422903
-
Learning factorial codes by predictability minimization
-
Jürgen Schmidhuber. Learning factorial codes by predictability minimization. Neural Computation, 4(6): 863-879, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.6
, pp. 863-879
-
-
Schmidhuber, J.1
-
23
-
-
85029534979
-
-
Paul Upchurch, Jacob Gardner, Kavita Bala, Robert Pless, Noah Snavely, and Kilian Weinberger. Deep feature interpolation for image content changes. arXiv preprint arXiv: 1611.05507, 2016.
-
(2016)
Deep Feature Interpolation for Image Content Changes
-
-
Upchurch, P.1
Gardner, J.2
Bala, K.3
Pless, R.4
Snavely, N.5
Weinberger, K.6
-
25
-
-
84990026425
-
Attribute2image: Conditional image generation from visual attributes
-
Springer
-
Xinchen Yan, Jimei Yang, Kihyuk Sohn, and Honglak Lee. Attribute2image: Conditional image generation from visual attributes. In European Conference on Computer Vision, pages 776-791. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 776-791
-
-
Yan, X.1
Yang, J.2
Sohn, K.3
Lee, H.4
-
26
-
-
84965161391
-
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
-
Jimei Yang, Scott E Reed, Ming-Hsuan Yang, and Honglak Lee. Weakly-supervised disentangling with recurrent transformations for 3d view synthesis. In Advances in Neural Information Processing Systems, pages 1099-1107, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 1099-1107
-
-
Yang, J.1
Reed, S.E.2
Yang, M.-H.3
Lee, H.4
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