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 neural networks (CoNN): Exploiting prior independence structure for improved classification H. Shrivastava Eugene Bart B. Price H. Dai Bo Dai S. Aluru 17 10 0 01 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 32 326 0 30 May 2019
Unpriortized Autoencoder For Image Generation Jaeyoung Yoo Hojun Lee Nojun Kwak SyDa SSL GAN DRL 16 2 0 12 Feb 2019
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning Jianwen Xie Zilong Zheng Xiaolin Fang Song-Chun Zhu Ying Nian Wu 18 4 0 07 Feb 2019
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 43 804 0 06 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 35 1,608 0 06 Dec 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 13 38 0 19 Nov 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 19 95 0 24 Sep 2018
Unsupervised Learning of View-invariant Action Representations Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli SSL 32 99 0 06 Sep 2018
Natural Language Generation with Neural Variational Models Hareesh Bahuleyan DRL 14 6 0 27 Aug 2018
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity Takashi Matsubara Kenta Hama Ryosuke Tachibana K. Uehara 16 29 0 16 Jul 2018
Deep Generative Networks For Sequence Prediction Markus Beissinger AI4TS BDL GAN 22 2 0 18 Apr 2018
Coverless information hiding based on Generative Model X. Duan Haoxian Song DiffM 13 23 0 10 Feb 2018
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Sho Sonoda Noboru Murata 16 8 0 12 Dec 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron Courville Yoshua Bengio GAN 30 13 0 12 Dec 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 17 130 0 25 Nov 2017
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks Zuozhu Liu Tony Q.S. Quek Shaowei Lin 14 3 0 21 Nov 2017
Learning Markov Chain in Unordered Dataset Yao-Hung Hubert Tsai Haiying Zhao Ruslan Salakhutdinov Nebojsa Jojic CML 35 1 0 08 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 35 55 0 07 Nov 2017
KGAN: How to Break The Minimax Game in GAN Trung Le T. Nguyen Dinh Q. Phung GAN 41 1 0 06 Nov 2017
Auto-Differentiating Linear Algebra Matthias Seeger A. Hetzel Zhenwen Dai Eric Meissner Neil D. Lawrence 17 38 0 24 Oct 2017
Image Disguise based on Generative Model X. Duan Haoxian Song E. Zhang Jingjing Liu DiffM 14 1 0 21 Oct 2017
Coresets for Dependency Networks Alejandro Molina Alexander Munteanu Kristian Kersting 16 1 0 09 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 14 27 0 08 Oct 2017
On denoising autoencoders trained to minimise binary cross-entropy Antonia Creswell Kai Arulkumaran Anil A. Bharath 24 72 0 28 Aug 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning Gustav Larsson SSL VLM 21 5 0 19 Aug 2017
A learning framework for winner-take-all networks with stochastic synapses Hesham Mostafa Gert Cauwenberghs BDL 6 14 0 14 Aug 2017
Variational Generative Stochastic Networks with Collaborative Shaping Philip Bachman Doina Precup BDL GAN 11 13 0 02 Aug 2017
Kafnets: kernel-based non-parametric activation functions for neural networks Simone Scardapane S. Van Vaerenbergh Simone Totaro A. Uncini 22 12 0 13 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas J. Guibas 3DV 3DPC 36 88 0 08 Jul 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 24 109 0 23 Jun 2017
Inference in Deep Networks in High Dimensions A. Fletcher S. Rangan BDL 13 68 0 20 Jun 2017
Tackling Over-pruning in Variational Autoencoders Serena Yeung A. Kannan Yann N. Dauphin Li Fei-Fei DRL 14 63 0 09 Jun 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 28 68 0 19 May 2017
Learning Probabilistic Programs Using Backpropagation Avi Pfeffer BDL 21 0 0 15 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 13 984 0 14 Apr 2017
Creativity: Generating Diverse Questions using Variational Autoencoders Unnat Jain Ziyu Zhang A. Schwing 22 152 0 11 Apr 2017
Learning to Generate Samples from Noise through Infusion Training Florian Bordes S. Honari Pascal Vincent GAN DiffM 19 44 0 20 Mar 2017
Denoising Adversarial Autoencoders Antonia Creswell Anil Anthony Bharath DiffM 18 129 0 03 Mar 2017
Generative Mixture of Networks Ershad Banijamali A. Ghodsi Pascal Poupart 19 13 0 10 Feb 2017
Image De-raining Using a Conditional Generative Adversarial Network He Zhang Vishwanath A. Sindagi Vishal M. Patel GAN 32 1,009 0 21 Jan 2017
Image Generation and Editing with Variational Info Generative AdversarialNetworks Mahesh Gorijala Ambedkar Dukkipati GAN 18 15 0 17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 19 1,717 0 31 Dec 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Fast Non-Parametric Tests of Relative Dependency and Similarity Wacha Bounliphone Eugene Belilovsky A. Tenenhaus Ioannis Antonoglou Arthur Gretton Matthew B. Blashcko 29 1 0 17 Nov 2016
Multi-view Generative Adversarial Networks Mickaël Chen Ludovic Denoyer GAN 30 30 0 07 Nov 2016
Generative Adversarial Networks as Variational Training of Energy Based Models Shuangfei Zhai Yu Cheng Rogerio Feris Zhongfei Zhang GAN 14 30 0 06 Nov 2016
Improving Sampling from Generative Autoencoders with Markov Chains Antonia Creswell Kai Arulkumaran Anil Anthony Bharath BDL SyDa GAN 27 10 0 28 Oct 2016
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization Zhiguang Wang Wei Song Lu Liu Fan Zhang Junxiao Xue Yangdong Ye Ming Fan Mingliang Xu AI4TS FAtt 41 23 0 24 Oct 2016
Tensorial Mixture Models Or Sharir Ronen Tamari Nadav Cohen Amnon Shashua TPM 16 25 0 13 Oct 2016