Deep Generative Stochastic Networks Trainable by Backprop

5 June 2013

Yoshua Bengio

Eric Thibodeau-Laufer

Papers citing "Deep Generative Stochastic Networks Trainable by Backprop"

50 / 170 papers shown

Title
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 26 140 0 29 Sep 2016
Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros GAN 9 1,392 0 12 Sep 2016
Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff Antti Rasmus Mathias Berglund T. Hao Jürgen Schmidhuber Harri Valpola OCL 24 161 0 21 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 18 1,722 0 19 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 20 1,310 0 02 Jun 2016
Adiabatic Persistent Contrastive Divergence Learning Hyeryung Jang Hyungwon Choi Yung Yi Jinwoo Shin 6 1 0 26 May 2016
Transport Analysis of Infinitely Deep Neural Network Sho Sonoda Noboru Murata 19 4 0 10 May 2016
Gaussian Copula Variational Autoencoders for Mixed Data Suwon Suh Seungjin Choi DRL 13 14 0 18 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification Ishan Misra C. L. Zitnick M. Hebert SSL 28 66 0 28 Mar 2016
Information Theoretic-Learning Auto-Encoder Eder Santana Matthew S. Emigh José C. Príncipe DRL 16 20 0 22 Mar 2016
Variational methods for Conditional Multimodal Deep Learning Gaurav Pandey Ambedkar Dukkipati GAN DRL CVBM 32 15 0 06 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 18 42 0 24 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 26 1,133 0 08 Feb 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Automatic recognition of element classes and boundaries in the birdsong with variable sequences Takuya Koumura K. Okanoya 19 23 0 23 Jan 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 37 5,140 0 22 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes Xinchen Yan Jimei Yang Kihyuk Sohn Honglak Lee DRL GAN 21 768 0 02 Dec 2015
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior Saining Xie Xun Huang Zhuowen Tu SSL 19 37 0 23 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 24 131 0 19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 27 742 0 19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics Joan Bruna Pablo Sprechmann Yann LeCun SupR 25 323 0 18 Nov 2015
Why are deep nets reversible: A simple theory, with implications for training Sanjeev Arora Yingyu Liang Tengyu Ma 14 54 0 18 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 16 2,221 0 18 Nov 2015
Predicting distributions with Linearizing Belief Networks Yann N. Dauphin David Grangier 28 18 0 17 Nov 2015
AUC-maximized Deep Convolutional Neural Fields for Sequence Labeling Sheng Wang S. Sun Jinbo Xu 26 6 0 17 Nov 2015
A Test of Relative Similarity For Model Selection in Generative Models Wacha Bounliphone Eugene Belilovsky Matthew B. Blaschko Ioannis Antonoglou Arthur Gretton 24 77 0 14 Nov 2015
Visual Language Modeling on CNN Image Representations Hiroharu Kato Tatsuya Harada FAtt 20 7 0 09 Nov 2015
Symmetries and control in generative neural nets Galin Georgiev AI4CE GAN 14 2 0 09 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 22 1,132 0 05 Nov 2015
Deep Haar Scattering Networks Xiuyuan Cheng Xu Chen S. Mallat 24 30 0 30 Sep 2015
Learning Deep Generative Models with Doubly Stochastic MCMC Chao Du Jun Zhu Bo Zhang BDL SyDa 19 9 0 15 Jun 2015
Deep Secure Encoding: An Application to Face Recognition Rohit Pandey Yingbo Zhou V. Govindaraju CVBM 24 1 0 14 Jun 2015
Learning with hidden variables Y. Roudi Graham Taylor 42 16 0 01 Jun 2015
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 63 667 0 01 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 17 2,771 0 19 May 2015
Max-margin Deep Generative Models Chongxuan Li Jun Zhu Tianlin Shi Bo Zhang AI4CE 33 32 0 26 Apr 2015
GSNs : Generative Stochastic Networks Guillaume Alain Yoshua Bengio L. Yao J. Yosinski Eric Thibodeau-Laufer Saizheng Zhang Pascal Vincent BDL 46 50 0 18 Mar 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 79 6,608 0 12 Mar 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 30 929 0 11 Mar 2015
Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee J. Bornschein Thomas Mesnard Zhouhan Lin DRL OOD 24 347 0 14 Feb 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 28 855 0 12 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 27 837 0 10 Feb 2015
Protein Secondary Structure Prediction with Long Short Term Memory Networks Søren Kaae Sønderby Ole Winther 39 114 0 25 Dec 2014
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 25 346 0 23 Dec 2014
Learning Non-deterministic Representations with Energy-based Ensembles Maruan Al-Shedivat Emre Neftci Gert Cauwenberghs OOD DiffM 33 2 0 23 Dec 2014
Generative Class-conditional Autoencoders Jan Rudy Graham W. Taylor DRL 25 7 0 22 Dec 2014
Scoring and Classifying with Gated Auto-encoders Daniel Jiwoong Im Graham W. Taylor AI4CE 21 2 0 20 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 78 1,012 0 20 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 43 193 0 20 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 27 594 0 16 Dec 2014