Generalized Denoising Auto-Encoders as Generative Models

29 May 2013

Pascal Vincent

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

45 / 95 papers shown

Title
Geometric Understanding of Deep Learning Na Lei Zhongxuan Luo S. Yau X. Gu GNN 11 145 0 26 May 2018
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation K. Drossos S. I. Mimilakis Dmitriy Serdyuk G. Schuller Tuomas Virtanen Yoshua Bengio 22 24 0 01 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
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders Hongyu Shen D. George Eliu A. Huerta Zhizhen Zhao 32 66 0 27 Nov 2017
Variational Encoding of Complex Dynamics Carlos X. Hernández H. Wayment-Steele Mohammad M. Sultan B. Husic Vijay S. Pande AI4CE 25 138 0 23 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
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask S. I. Mimilakis K. Drossos J. F. Santos G. Schuller Tuomas Virtanen Yoshua Bengio 33 40 0 04 Nov 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 57 2,975 0 19 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 22 27 0 08 Oct 2017
AutoEncoder by Forest Ji Feng Zhi-Hua Zhou AI4CE 18 62 0 26 Sep 2017
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks Marco Schreyer Timur Sattarov Damian Borth Andreas Dengel Bernd Reimer 25 105 0 15 Sep 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 21 120 0 13 Sep 2017
On denoising autoencoders trained to minimise binary cross-entropy Antonia Creswell Kai Arulkumaran Anil A. Bharath 30 72 0 28 Aug 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
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
MIDA: Multiple Imputation using Denoising Autoencoders Lovedeep Gondara Ke Wang AI4CE 22 85 0 08 May 2017
Deep generative-contrastive networks for facial expression recognition Youngsung Kim ByungIn Yoo Youngjun Kwak Changkyu Choi Junmo Kim CVBM 24 89 0 21 Mar 2017
Learning Robust Visual-Semantic Embeddings Yao-Hung Hubert Tsai Liang-Kang Huang Ruslan Salakhutdinov SSL AI4TS 27 166 0 17 Mar 2017
DeepFace: Face Generation using Deep Learning Hardie Cate Fahim Dalvi Zeshan Hussain CVBM VLM 20 7 0 07 Jan 2017
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 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
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 20 2,387 0 18 Sep 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods Hao Wang Dit-Yan Yeung BDL 26 225 0 24 Aug 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 38 1,722 0 19 Jun 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment Chang Liu Yu Cao Yan Luo Guanling Chen V. Vokkarane Yunsheng Ma 8 251 0 17 Jun 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 30 49 0 06 Apr 2016
Variational methods for Conditional Multimodal Deep Learning Gaurav Pandey Ambedkar Dukkipati GAN DRL CVBM 35 15 0 06 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 24 42 0 24 Feb 2016
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Weinan Zhang Tianming Du Jun Wang AI4CE 18 492 0 11 Jan 2016
Binding via Reconstruction Clustering Klaus Greff R. Srivastava Jürgen Schmidhuber OCL 16 40 0 19 Nov 2015
Why are deep nets reversible: A simple theory, with implications for training Sanjeev Arora Yingyu Liang Tengyu Ma 17 54 0 18 Nov 2015
Predicting distributions with Linearizing Belief Networks Yann N. Dauphin David Grangier 34 18 0 17 Nov 2015
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization Malte Probst GAN 16 7 0 30 Sep 2015
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks Zhen Zuo Bing Shuai G. Wang Xiao Liu Xingxing Wang Bernie Wang 16 93 0 13 Sep 2015
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 66 668 0 01 Jun 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 43 125 0 07 Apr 2015
Denoising Autoencoders for fast Combinatorial Black Box Optimization Malte Probst 29 15 0 06 Mar 2015
Generative Class-conditional Autoencoders Jan Rudy Graham W. Taylor DRL 25 7 0 22 Dec 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 39 1,610 0 10 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 44 181 0 29 Jul 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction Jian Zhou O. Troyanskaya 51 145 0 06 Mar 2014
Learning Generative Models with Visual Attention Yichuan Tang Nitish Srivastava Ruslan Salakhutdinov DiffM 41 85 0 20 Dec 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 32 279 0 31 Oct 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 70 396 0 05 Jun 2013
Deep Learning of Representations: Looking Forward Yoshua Bengio 57 680 0 02 May 2013