Deep Generative Stochastic Networks Trainable by Backprop

5 June 2013

Yoshua Bengio

Eric Thibodeau-Laufer

Papers citing "Deep Generative Stochastic Networks Trainable by Backprop"

20 / 170 papers shown

Title
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 23 3,246 0 05 Dec 2014
From neural PCA to deep unsupervised learning Harri Valpola BDL 38 184 0 28 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 27 676 0 21 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 106 10,329 0 06 Nov 2014
Fast Learning of Relational Dependency Networks Oliver Schulte Zhensong Qian A. Kirkpatrick Xiaoqian Yin Yan Lindsay Sun GNN 25 12 0 28 Oct 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks L. Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio BDL 25 9 0 02 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 42 181 0 29 Jul 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 97 2,183 0 10 Jun 2014
Variational inference of latent state sequences using Recurrent Networks Justin Bayer Christian Osendorfer DRL BDL 45 1 0 06 Jun 2014
Is Joint Training Better for Deep Auto-Encoders? Yingbo Zhou Devansh Arpit Ifeoma Nwogu V. Govindaraju 47 2 0 06 May 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction Jian Zhou O. Troyanskaya 51 145 0 06 Mar 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling BDL 38 61 0 03 Feb 2014
Improving Deep Neural Networks with Probabilistic Maxout Units Jost Tobias Springenberg Martin Riedmiller BDL OOD 50 101 0 20 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 39 17,001 0 20 Dec 2013
Multimodal Transitions for Generative Stochastic Networks Sherjil Ozair L. Yao Yoshua Bengio 41 10 0 19 Dec 2013
Bounding the Test Log-Likelihood of Generative Models Yoshua Bengio L. Yao Kyunghyun Cho TPM 36 22 0 24 Nov 2013
Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons Kyunghyun Cho 70 6 0 12 Jun 2013
Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio L. Yao Guillaume Alain Pascal Vincent 30 537 0 29 May 2013
Deep Learning of Representations: Looking Forward Yoshua Bengio 57 680 0 02 May 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012