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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
What are Neural Networks made of? Rene Schaub ODL 26 0 0 25 Aug 2019
Improving Channel Charting with Representation-Constrained Autoencoders Pengzhi Huang Oscar Castañeda Emre Gönültaş Said Medjkouh O. Tirkkonen Tom Goldstein Christoph Studer 40 34 0 07 Aug 2019
Discrete Object Generation with Reversible Inductive Construction Ari Seff Wenda Zhou Farhan N. Damani A. Doyle Ryan P. Adams 64 30 0 18 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 271 3,971 0 12 Jul 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 53 8 0 25 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 79 28 0 25 Jun 2019
Learning to solve the credit assignment problem B. Lansdell P. Prakash Konrad Paul Kording 98 53 0 03 Jun 2019
Educating Text Autoencoders: Latent Representation Guidance via Denoising T. Shen Jonas W. Mueller Regina Barzilay Tommi Jaakkola 35 4 0 29 May 2019
Visualization of AE's Training on Credit Card Transactions with Persistent Homology Jérémy Charlier F. Petit Gaston Ormazabal R. State Jean Hilger 19 0 0 24 May 2019
Style Transfer with Time Series: Generating Synthetic Financial Data B. Silva S. S. Shi OOD AI4TS 51 12 0 24 May 2019
PHom-GeM: Persistent Homology for Generative Models Jérémy Charlier R. State Jean Hilger GAN 51 5 0 23 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 83 56 0 30 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Junsik Kim Tae-Hyun Oh Seokju Lee Fei Pan In So Kweon DRL 78 73 0 17 Apr 2019
Information Bottleneck and its Applications in Deep Learning Hassan Hafez-Kolahi S. Kasaei 66 19 0 07 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 104 272 0 29 Mar 2019
Semantic denoising autoencoders for retinal optical coherence tomography M. Laves Sontje Ihler L. Kahrs T. Ortmaier 17 7 0 23 Mar 2019
Generative Models For Deep Learning with Very Scarce Data J. Molano Roberto Paredes Palacios D. Ramos-Castro 24 6 0 21 Mar 2019
Neural Empirical Bayes Saeed Saremi Aapo Hyvarinen 96 67 0 06 Mar 2019
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids Qiuyu Zhu Ruixin Zhang BDL DRL 41 37 0 01 Feb 2019
Robust Anomaly Detection in Images using Adversarial Autoencoders Laura Beggel Michael Pfeiffer B. Bischl UQCV 64 116 0 18 Jan 2019
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE) Séverine Affeldt Lazhar Labiod M. Nadif 83 77 0 08 Jan 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 100 53 0 26 Dec 2018
Human Motion Prediction via Spatio-Temporal Inpainting Alejandro Hernandez Ruiz Juergen Gall Francesc Moreno-Noguer 3DH 74 212 0 13 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 77 76 0 30 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence Athanasios Davvetas I. Klampanos V. Karkaletsis 55 5 0 09 Nov 2018
$MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks$ MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks Yotam Intrator Gilad Katz A. Shabtai 53 21 0 11 Oct 2018
Spurious samples in deep generative models: bug or feature? Balázs Kégl Mehdi Cherti A. Kazakçi 24 4 0 03 Oct 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 376 2,723 0 12 Sep 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning Ting Yu Jingfeng Wu Jinwen Ma Zhanxing Zhu 58 35 0 18 Aug 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds Septimia Sârbu Riccardo Volpi Alexandra Peste Luigi Malagò DRL 29 0 0 05 Jul 2018
Learning Dynamics of Linear Denoising Autoencoders Arnu Pretorius Steve Kroon Herman Kamper AI4CE 74 26 0 14 Jun 2018
Holographic Neural Architectures Tariq Daouda Jeremie Zumer C. Perreault S. Lemieux GAN 14 0 0 04 Jun 2018
Multi-Layered Gradient Boosting Decision Trees Ji Feng Yang Yu Zhi Zhou AI4CE 184 120 0 31 May 2018
Robustifying Models Against Adversarial Attacks by Langevin Dynamics Vignesh Srinivasan Arturo Marbán K. Müller Wojciech Samek Shinichi Nakajima AAML 78 9 0 30 May 2018
Geometric Understanding of Deep Learning Na Lei Zhongxuan Luo S. Yau X. Gu GNN 82 145 0 26 May 2018
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs Xudong Mao Qing Li OOD GAN 46 15 0 07 May 2018
Deep Generative Networks For Sequence Prediction Markus Beissinger AI4TS BDL GAN 29 2 0 18 Apr 2018
Coverless information hiding based on Generative Model X. Duan Haoxian Song DiffM 41 23 0 10 Feb 2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy Ognjen Rudovic Jaeryoung Lee Miles Dai Bjorn Schuller Rosalind W. Picard 96 272 0 04 Feb 2018
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation Konstantinos Drossos S. I. Mimilakis Dmitriy Serdyuk G. Schuller Tuomas Virtanen Yoshua Bengio 72 24 0 01 Feb 2018
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data Antonia Creswell Alison Pouplin Anil A Bharath MedIm 69 21 0 02 Jan 2018
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Sho Sonoda Noboru Murata 56 7 0 12 Dec 2017
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders Hongyu Shen D. George Eliu A. Huerta Zhizhen Zhao 85 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 91 140 0 23 Nov 2017
TripletGAN: Training Generative Model with Triplet Loss Gongze Cao Yezhou Yang Jie Lei Cheng Jin Yang Liu Xiuming Zhang GAN 52 10 0 14 Nov 2017
Learning Markov Chain in Unordered Dataset Yao-Hung Hubert Tsai Haiying Zhao Ruslan Salakhutdinov Nebojsa Jojic CML 81 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 149 55 0 07 Nov 2017
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask S. I. Mimilakis Konstantinos Drossos J. F. Santos G. Schuller Tuomas Virtanen Yoshua Bengio 64 40 0 04 Nov 2017
Image Disguise based on Generative Model X. Duan Haoxian Song E. Zhang Jingjing Liu DiffM 35 1 0 21 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 180 3,077 0 19 Oct 2017