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Generalized Denoising Auto-Encoders as Generative Models

29 May 2013

Pascal Vincent

Papers citing "Generalized Denoising Auto-Encoders as Generative Models"

28 / 228 papers shown

Title
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 113 1,373 0 09 Jul 2015
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 147 684 0 01 Jun 2015
A Deep Embedding Model for Co-occurrence Learning Yelong Shen R. Jin Jianshu Chen Xiaodong He Jianfeng Gao Li Deng 25 5 0 11 Apr 2015
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series Mathias Berglund T. Raiko Mikko Honkala L. Kärkkäinen A. Vetek J. Karhunen BDL 97 128 0 07 Apr 2015
A Theory of Feature Learning Brendan van Rooyen Robert C. Williamson OOD SSL FAtt 55 7 0 01 Apr 2015
GSNs : Generative Stochastic Networks Guillaume Alain Yoshua Bengio L. Yao J. Yosinski Eric Thibodeau-Laufer Saizheng Zhang Pascal Vincent BDL 125 50 0 18 Mar 2015
Denoising Autoencoders for fast Combinatorial Black Box Optimization Malte Probst 50 15 0 06 Mar 2015
Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee J. Bornschein Thomas Mesnard Zhouhan Lin DRL OOD 123 352 0 14 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 135 847 0 10 Feb 2015
Learning Non-deterministic Representations with Energy-based Ensembles Maruan Al-Shedivat Emre Neftci Gert Cauwenberghs OOD DiffM 53 2 0 23 Dec 2014
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images Antti Rasmus T. Raiko Harri Valpola AI4CE 74 20 0 22 Dec 2014
Generative Class-conditional Autoencoders Jan Rudy Graham W. Taylor DRL 110 7 0 22 Dec 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 166 1,620 0 10 Sep 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks L. Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio BDL 80 9 0 02 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 146 186 0 29 Jul 2014
Scheduled denoising autoencoders Krzysztof J. Geras Charles Sutton 112 47 0 12 Jun 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 191 2,201 0 10 Jun 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction Jian Zhou O. Troyanskaya 102 147 0 06 Mar 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Daan Wierstra BDL 99 140 0 16 Jan 2014
Learning Generative Models with Visual Attention Yichuan Tang Nitish Srivastava Ruslan Salakhutdinov DiffM 167 85 0 20 Dec 2013
Multimodal Transitions for Generative Stochastic Networks Sherjil Ozair L. Yao Yoshua Bengio 80 10 0 19 Dec 2013
Continuous Learning: Engineering Super Features With Feature Algebras Michael Tetelman 52 1 0 19 Dec 2013
Bounding the Test Log-Likelihood of Generative Models Yoshua Bengio L. Yao Kyunghyun Cho TPM 90 23 0 24 Nov 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 117 282 0 31 Oct 2013
Temporal Autoencoding Improves Generative Models of Time Series Chris Häusler Alex K. Susemihl M. Nawrot Manfred Opper AI4TS AI4CE 83 3 0 12 Sep 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 162 396 0 05 Jun 2013
Deep Learning of Representations: Looking Forward Yoshua Bengio 227 683 0 02 May 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 108 505 0 18 Nov 2012