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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"

50 / 228 papers shown

Title
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 47 27 0 08 Oct 2017
AutoEncoder by Forest Ji Feng Zhi Zhou AI4CE 67 63 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 74 106 0 15 Sep 2017
Denoising Autoencoders for Overgeneralization in Neural Networks G. Spigler UQCV AI4CE 61 27 0 14 Sep 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 85 122 0 13 Sep 2017
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork W. Tan Chee Seng Chan H. Aguirre Kiyoshi Tanaka GAN 21 2 0 31 Aug 2017
On denoising autoencoders trained to minimise binary cross-entropy Antonia Creswell Kai Arulkumaran Anil A. Bharath 61 72 0 28 Aug 2017
A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+ Pengbo Zhang Zhi-Xin Yang 52 93 0 28 Aug 2017
Generating Visual Representations for Zero-Shot Classification Max Bucher Stéphane Herbin F. Jurie VLM 104 152 0 23 Aug 2017
Restricted Boltzmann machine to determine the input weights for extreme learning machines André G. C. Pacheco R. Krohling Carlos A. S. da Silva 26 37 0 17 Aug 2017
GANs for Biological Image Synthesis A. Osokin A. Chessel R. Carazo-Salas F. Vaggi GAN 66 105 0 15 Aug 2017
Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data Andres G. Abad Luis I. Reyes Castro 33 2 0 14 Aug 2017
Sparse Coding and Autoencoders Akshay Rangamani Anirbit Mukherjee A. Basu T. Ganapathi Ashish Arora S. Chin T. Tran 112 20 0 12 Aug 2017
Variational Generative Stochastic Networks with Collaborative Shaping Philip Bachman Doina Precup BDL GAN 78 13 0 02 Aug 2017
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas 3DV 3DPC 84 88 0 08 Jul 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 109 447 0 07 Jun 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 103 139 0 30 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 260 210 0 25 May 2017
LOGAN: Membership Inference Attacks Against Generative Models Jamie Hayes Luca Melis G. Danezis Emiliano De Cristofaro 111 104 0 22 May 2017
MIDA: Multiple Imputation using Denoising Autoencoders Lovedeep Gondara Ke Wang AI4CE 131 85 0 08 May 2017
Learning Human Motion Models for Long-term Predictions Partha Ghosh Mingli Song Emre Aksan Otmar Hilliges 3DH 69 240 0 10 Apr 2017
Deep generative-contrastive networks for facial expression recognition Youngsung Kim ByungIn Yoo Youngjun Kwak Changkyu Choi Junmo Kim CVBM 72 89 0 21 Mar 2017
Learning Robust Visual-Semantic Embeddings Yao-Hung Hubert Tsai Liang-Kang Huang Ruslan Salakhutdinov SSL AI4TS 78 166 0 17 Mar 2017
Denoising Adversarial Autoencoders Antonia Creswell Anil Anthony Bharath DiffM 97 131 0 03 Mar 2017
DeepFace: Face Generation using Deep Learning Hardie Cate Fahim Dalvi Zeshan Hussain CVBM VLM 30 7 0 07 Jan 2017
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 94 42 0 22 Nov 2016
Optimal Binary Autoencoding with Pairwise Correlations Akshay Balsubramani SSL 52 1 0 07 Nov 2016
Multi-view Generative Adversarial Networks Mickaël Chen Ludovic Denoyer GAN 68 30 0 07 Nov 2016
Improving Sampling from Generative Autoencoders with Markov Chains Antonia Creswell Kai Arulkumaran Anil Anthony Bharath BDL SyDa GAN 90 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 86 23 0 24 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 78 2,412 0 18 Sep 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods Hao Wang Dit-Yan Yeung BDL 74 225 0 24 Aug 2016
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi Wen Li 94 868 0 12 Jul 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 103 1,755 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 54 253 0 17 Jun 2016
Digits that are not: Generating new types through deep neural nets A. Kazakçi Balázs Kégl DiffM 46 10 0 14 Jun 2016
Transport Analysis of Infinitely Deep Neural Network Sho Sonoda Noboru Murata 34 4 0 10 May 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 113 49 0 06 Apr 2016
Variational methods for Conditional Multimodal Deep Learning Gaurav Pandey Ambedkar Dukkipati GAN DRL CVBM 80 15 0 06 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 123 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 105 494 0 11 Jan 2016
Cascading Denoising Auto-Encoder as a Deep Directed Generative Model Dong-Hyun Lee DiffM 16 2 0 23 Nov 2015
Deconstructing the Ladder Network Architecture Mohammad Pezeshki Linxi Fan Philemon Brakel Aaron Courville Yoshua Bengio 91 98 0 19 Nov 2015
Binding via Reconstruction Clustering Klaus Greff R. Srivastava Jürgen Schmidhuber OCL 98 40 0 19 Nov 2015
Denoising Criterion for Variational Auto-Encoding Framework Daniel Jiwoong Im Sungjin Ahn Roland Memisevic Yoshua Bengio 103 196 0 19 Nov 2015
Why are deep nets reversible: A simple theory, with implications for training Sanjeev Arora Yingyu Liang Tengyu Ma 96 54 0 18 Nov 2015
Predicting distributions with Linearizing Belief Networks Yann N. Dauphin David Grangier 67 18 0 17 Nov 2015
Adopting Robustness and Optimality in Fitting and Learning Zhiguang Wang Tim Oates J. Lo 36 2 0 13 Oct 2015
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization Malte Probst GAN 27 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 66 94 0 13 Sep 2015