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Generative
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#	Item
1	One-shot learning of generative speech concepts Brenden M. Lake* Chia-ying Lee* James R. Glass Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2014-05-02 16:26:56 Artificial intelligence Learning Machine learning Computational linguistics Markov models Hierarchical hidden Markov model Bayesian statistics Speech recognition Hidden Markov model Dynamic time warping Language model Speech perception
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 Add to Reading List Source URL: indico.cern.ch Language: English Machine learning Computational neuroscience Applied mathematics Numerical analysis Computational statistics Artificial neural networks Stochastic gradient descent Deep learning Mathematical optimization Generative adversarial network Neural network Training test and validation sets
3	Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes & George Danezis UCL Add to Reading List Source URL: www.homepages.ucl.ac.uk Language: English - Date: 2018-06-12 12:53:42 Artificial neural network Computational neuroscience Market research Market segmentation Mathematical psychology ResNet Adversarial system Applied mathematics
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. Add to Reading List Source URL: www.kestrel.edu Language: English - Date: 2012-08-02 20:41:38 Software development Aspect-oriented software development Aspect-oriented programming AspectJ Invariant Cross-cutting concern Pointcut
5	1 Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes and George Danezis University College London Add to Reading List Source URL: www.homepages.ucl.ac.uk Language: English - Date: 2018-06-12 12:53:19 Artificial intelligence Machine learning Computational neuroscience Learning Applied mathematics Artificial neural networks CIFAR-10 Deep learning Training test and validation sets ImageNet Support vector machine Generative model
6	PDF Document Add to Reading List Source URL: www.generative-gestaltung.de - Date: 2018-04-05 11:05:29
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, Add to Reading List Source URL: arkitus.com Language: English - Date: 2016-08-17 17:41:35
8	Black-box α-divergence for Deep Generative Models Thang D. Bui∗ University of Cambridge José Miguel Hernández-Lobato∗ Add to Reading List Source URL: approximateinference.org Language: English - Date: 2017-09-11 12:42:46
9	The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University Add to Reading List Source URL: bayesiandeeplearning.org Language: English - Date: 2017-12-05 15:02:31
10	Shonan Challenge for Generative Programming Short Position Paper Baris Aktemur Yukiyoshi Kameyama Add to Reading List Source URL: aktemur.github.io Language: English - Date: 2018-07-12 16:55:43