1![One-shot learning of generative speech concepts Brenden M. Lake* Chia-ying Lee* James R. Glass One-shot learning of generative speech concepts Brenden M. Lake* Chia-ying Lee* James R. Glass](https://www.pdfsearch.io/img/9621cd89c260974288fff8824c37c572.jpg) | Add to Reading ListSource URL: cims.nyu.eduLanguage: English - Date: 2014-05-02 16:26:56
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2![Large Scale Training and Optimization of Neural Networks and Generative Adversarial Networks over Distributed Resource CLIC GAN : S. Vallecorsa, G. Khattak, F. Carminati, M. Pierini SurfSara : V. Codreanu, D. Podareanu Large Scale Training and Optimization of Neural Networks and Generative Adversarial Networks over Distributed Resource CLIC GAN : S. Vallecorsa, G. Khattak, F. Carminati, M. Pierini SurfSara : V. Codreanu, D. Podareanu](https://www.pdfsearch.io/img/41f428bb3b4ba33f30688a5ed4222863.jpg) | Add to Reading ListSource URL: indico.cern.chLanguage: English |
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3![Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes & George Danezis UCL Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes & George Danezis UCL](https://www.pdfsearch.io/img/a819623194fbc2d0f9d8faae8878385d.jpg) | Add to Reading ListSource URL: www.homepages.ucl.ac.ukLanguage: English - Date: 2018-06-12 12:53:42
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4![to appear in Proceedings of the Third International Conference on Generative Programming and Component Engineering (GPCE’04), Springer-Verlag LNCS, 2004. A Generative Approach to Aspect-Oriented Programming Douglas R. to appear in Proceedings of the Third International Conference on Generative Programming and Component Engineering (GPCE’04), Springer-Verlag LNCS, 2004. A Generative Approach to Aspect-Oriented Programming Douglas R.](https://www.pdfsearch.io/img/2fdce6ca20d97e5433270d07e0850bda.jpg) | Add to Reading ListSource URL: www.kestrel.eduLanguage: English - Date: 2012-08-02 20:41:38
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5![1 Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes and George Danezis University College London 1 Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes and George Danezis University College London](https://www.pdfsearch.io/img/9468dba0be745ffcb17b00ac06acc4c6.jpg) | Add to Reading ListSource URL: www.homepages.ucl.ac.ukLanguage: English - Date: 2018-06-12 12:53:19
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6![](/pdf-icon.png) | Add to Reading ListSource URL: www.generative-gestaltung.de- Date: 2018-04-05 11:05:29
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7![arXiv:1603.08575v3 [cs.CV] 12 AugAttend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, arXiv:1603.08575v3 [cs.CV] 12 AugAttend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa,](https://www.pdfsearch.io/img/db0333c8d820354aa6dee88d149e1aa7.jpg) | Add to Reading ListSource URL: arkitus.comLanguage: English - Date: 2016-08-17 17:41:35
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8![Black-box α-divergence for Deep Generative Models Thang D. Bui∗ University of Cambridge José Miguel Hernández-Lobato∗ Black-box α-divergence for Deep Generative Models Thang D. Bui∗ University of Cambridge José Miguel Hernández-Lobato∗](https://www.pdfsearch.io/img/3a70478b86c21b8c7b313c39fbff1e8d.jpg) | Add to Reading ListSource URL: approximateinference.orgLanguage: English - Date: 2017-09-11 12:42:46
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9![The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University](https://www.pdfsearch.io/img/4f2f19b08cffd4eb67a47a95269c7d41.jpg) | Add to Reading ListSource URL: bayesiandeeplearning.orgLanguage: English - Date: 2017-12-05 15:02:31
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10![Shonan Challenge for Generative Programming Short Position Paper Baris Aktemur Yukiyoshi Kameyama Shonan Challenge for Generative Programming Short Position Paper Baris Aktemur Yukiyoshi Kameyama](https://www.pdfsearch.io/img/bb2282a74b47edef4e2de683e4f0d825.jpg) | Add to Reading ListSource URL: aktemur.github.ioLanguage: English - Date: 2018-07-12 16:55:43
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