Denoising Autoencoder

A Denoising Autoencoder is a modification on the autoencoder to prevent the network learning the identity function. Specifically, if the autoencoder is too big, then it can just learn the data, so the output equals the input, and does not perform any useful representation learning or dimensionality reduction. Denoising autoencoders solve this problem by corrupting the input data on purpose, adding noise or masking some of the input values.

Image Credit: Kumar et al

Latest Papers

PAPER DATE
Inferring, Predicting, and Denoising Causal Wave Dynamics
Matthias KarlbauerSebastian OtteHendrik P. A. LenschThomas ScholtenVolker WulfmeyerMartin V. Butz
2020-09-19
A Generative Adversarial Approach To ECG Synthesis And Denoising
Karol Antczak
2020-09-06
Unsupervised Human 3D Pose Representation with Viewpoint and Pose Disentanglement
Qiang NieZiwei LiuYunhui Liu
2020-07-14
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
Magda FriedjungováDaniel VašataMaksym BalatskoMarcel Jiřina
2020-06-21
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
| Jae Hyun LimAaron CourvilleChristopher PalChin-Wei Huang
2020-06-09
Learning to Rank Intents in Voice Assistants
Raviteja AnanthaSrinivas ChappidiWilliam Dawoodi
2020-04-30
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
| Neerav KaraniErtunc ErdilKrishna ChaitanyaEnder Konukoglu
2020-04-09
Conditional Rap Lyrics Generation with Denoising Autoencoders
Nikola I. NikolovEric MalmiCurtis G. NorthcuttLoreto Parisi
2020-04-08
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information
Zhize WuThomas WeiseLe ZouFei SunMing Tan
2020-03-12
Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder
Peng JiaXiyu LiZhengyang LiWeinan WangDongmei Cai
2020-01-31
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Rehana MahfuzRajeev SahayAly El Gamal
2020-01-26
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
Timo KeppHelge SudkampClaus von der BurchardHendrik SchenkePeter KochGereon HüttmannJohann RoiderMattias P. HeinrichHeinz Handels
2020-01-23
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio
Bryan LimStefan ZohrenStephen Roberts
2020-01-23
Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies
Mafalda Falcao FerreiraRui CamachoLuis F. Teixeira
2020-01-15
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
Cheng YuRyandhimas E. ZezarioJonathan ShermanYi-Yen HsiehXugang LuHsin-Min WangYu Tsao
2020-01-06
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Ziyi YangChenguang ZhuRobert GmyrMichael ZengXuedong HuangEric Darve
2020-01-03
Towards Robust Toxic Content Classification
Keita KuritaAnna BelovaAntonios Anastasopoulos
2019-12-14
Blind Denoising Autoencoder
Angshul Majumdar
2019-12-11
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning
Vanika SinghalAngshul Majumdar
2019-12-11
Financial Market Directional Forecasting With Stacked Denoising Autoencoder
Shaogao LvYongchao HouHongwei Zhou
2019-12-02
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling
| Bichuan GuoYuxing HanJiangtao Wen
2019-12-01
FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm
Yuzhong HongXianguo YuNeng HeNan LiuJunhui Liu
2019-11-01
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
| Mike LewisYinhan LiuNaman GoyalMarjan GhazvininejadAbdelrahman MohamedOmer LevyVes StoyanovLuke Zettlemoyer
2019-10-29
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction
| Zhuonan HeJinjie ZhouDong LiangYuhao WangQiegen Liu
2019-10-23
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Xiaoyang XuYiqun LiuHanqing ChaoYoucheng LuoHai ChuLei ChenJunping ZhangLeiming Ma
2019-10-15
DEVDAN: Deep Evolving Denoising Autoencoder
Andri AshfahaniMahardhika PratamaEdwin LughoferYew Soon Ong
2019-10-08
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement
Natalie Yu-Hsien WangHsiao-Lan Sharon WangTao-Wei WangSzu-Wei FuXugan LuYu TsaoHsin-Min Wang
2019-09-26
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar SyedGaurav VermaBalaji Vasan SrinivasanAnandhavelu NVasudeva Varma
2019-09-22
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
| Siyuan WangJunjie LvYuanyuan HuDong LiangMinghui ZhangQiegen Liu
2019-09-03
Credit Card Fraud Detection Using Autoencoder Neural Network
Junyi ZouJinliang ZhangPing Jiang
2019-08-30
Semi-supervised representation learning via dual autoencoders for domain adaptation
| Shuai YangHao WangYuhong ZhangPei-Pei LiYi ZhuXuegang Hu
2019-08-04
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
Alzahra BadiSangwook ParkDavid K. HanHanseok Ko
2019-07-26
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
Rajeev SahayRehana MahfuzAly El Gamal
2019-06-13
Underwater Color Restoration Using U-Net Denoising Autoencoder
Yousif HashishoMohamad AlbadawiTom KrauseUwe Freiherr von Lukas
2019-05-22
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
| Spyros GidarisNikos Komodakis
2019-05-03
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
Sheng-Yong NiuLun-Zhang GuoYue LiTzung-Dau WangYu TsaoTzu-Ming Liu
2019-04-12
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Stylianos Ioannis MimilakisKonstantinos DrossosEstefanía CanoGerald Schuller
2019-04-12
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu BoneyNorman Di PaloMathias BerglundAlexander IlinJuho KannalaAntti RasmusHarri Valpola
2019-03-28
Analyzing Input and Output Representations for Speech-Driven Gesture Generation
| Taras KucherenkoDai HasegawaGustav Eje HenterNaoshi KanekoHedvig Kjellström
2019-03-08
Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
| Weitian LiHaiguang XuZhixian MaRuimin ZhuDan HuZhenghao ZhuJunhua GuChenxi ShanJie ZhuXiang-Ping Wu
2019-02-25
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
| Martin SundermeyerZoltan-Csaba MartonMaximilian DurnerManuel BruckerRudolph Triebel
2019-02-04
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
Reza AsadiAmelia Regan
2019-02-02
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Yunsu KimJiahui GengHermann Ney
2019-01-06
SMPLR: Deep SMPL reverse for 3D human pose and shape recovery
Meysam MadadiHugo BerticheSergio Escalera
2018-12-27
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
Kavya GuptaBrojeshwar BhowmickAngshul Majumdar
2018-12-24
On Stacked Denoising Autoencoder based Pre-training of ANN for Isolated Handwritten Bengali Numerals Dataset Recognition
Al Mehdi Saadat ChowdhuryM. Shahidur RahmanAsia KhanomTamanna Islam ChowdhuryAfaz Uddin
2018-12-14
Towards Unsupervised Speech-to-Text Translation
Yu-An ChungWei-Hung WengSchrasing TongJames Glass
2018-11-04
Dynamic Feature Acquisition Using Denoising Autoencoders
Mohammad KachueeSajad DarabiBabak MoatamedMajid Sarrafzadeh
2018-11-03
Deep learning cardiac motion analysis for human survival prediction
| Ghalib A. BelloTimothy J. W. DawesJinming DuanCarlo BiffiAntonio de MarvaoLuke S. G. E. HowardJ. Simon R. GibbsMartin R. WilkinsStuart A. CookDaniel RueckertDeclan P. O'Regan
2018-10-08
Improved Techniques for Adversarial Discriminative Domain Adaptation
Aaron ChadhaYiannis Andreopoulos
2018-09-10
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition
Yang LiuZhaoyang LuJing LiTao Yang
2018-09-03
Hierarchical Relational Networks for Group Activity Recognition and Retrieval
| Mostafa S. IbrahimGreg Mori
2018-09-01
Patient representation learning and interpretable evaluation using clinical notes
Madhumita SushilSimon ŠusterKim LuyckxWalter Daelemans
2018-07-03
A Missing Information Loss function for implicit feedback datasets
Juan ArévaloJuan Ramón DuqueMarco Creatura
2018-04-30
Cross-domain Recommendation via Deep Domain Adaptation
Heishiro KanagawaHayato KobayashiNobuyuki ShimizuYukihiro TagamiTaiji Suzuki
2018-03-08
Relational Autoencoder for Feature Extraction
| Qinxue MengDaniel CatchpooleDavid SkillicornPaul J. Kennedy
2018-02-09
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks
Sho SonodaNoboru Murata
2017-12-12
RF-Based Direction Finding of UAVs Using DNN
Samith AbeywickramaLahiru JayasingheHua FuSubashini NissankaChau Yuen
2017-12-01
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders
Hongyu ShenDaniel GeorgeE. A. HuertaZhizhen Zhao
2017-11-27
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
Ido CohenEli DavidNathan S. NetanyahuNoa LiscovitchGal Chechik
2017-11-27
Denoising random forests
Masaya HibinoAkisato KimuraTakayoshi YamashitaYuji YamauchiHironobu Fujiyoshi
2017-10-30
VIGAN: Missing View Imputation with Generative Adversarial Networks
| Chao ShangAaron PalmerJiangwen SunKo-Shin ChenJin LuJinbo Bi
2017-08-22
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction
Muhammad AhmadAsad KhanAdil Mehmood KhanRasheed Hussain
2017-05-19
Image Restoration using Autoencoding Priors
Siavash Arjomand BigdeliMatthias Zwicker
2017-03-29
A Correlative Denoising Autoencoder to Model Social Influence for Top-N Recommender System
Yiteng PanFazhi HeHaiping Yu
2017-03-06
Modeling documents with Generative Adversarial Networks
John Glover
2016-12-29
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.
Jeremy BarnesPatrik LambertToni Badia
2016-12-01
Neural Structural Correspondence Learning for Domain Adaptation
| Yftah ZiserRoi Reichart
2016-10-05
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha FernandoDylan BanarseMalcolm ReynoldsFrederic BesseDavid PfauMax JaderbergMarc LanctotDaan Wierstra
2016-06-08
Learning to Generate Genotypes with Neural Networks
Alexander W. ChurchillSiddharth SigtiaChrisantha Fernando
2016-04-14
Deep neural networks for learning graph representations
Shaosheng CaoWei LuQiongkai Xu
2016-02-21
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
Zhengping CheSanjay PurushothamRobinder KhemaniYan Liu
2015-12-11
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
| Kin Gwn LoreAdedotun AkintayoSoumik Sarkar
2015-11-12
Denoising without access to clean data using a partitioned autoencoder
Dan StowellRichard E. Turner
2015-09-20
Domain Generalization for Object Recognition with Multi-task Autoencoders
| Muhammad GhifaryW. Bastiaan KleijnMengjie ZhangDavid Balduzzi
2015-08-31
A Deep Learning Approach to Structured Signal Recovery
Ali MousaviAnkit B. PatelRichard G. Baraniuk
2015-08-17
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks
Erik Marchi ; Fabio Vesperini ; Florian Eyben ; Stefano Squartini ; Björn Schuller
2015-08-06
Convergence rates for pretraining and dropout: Guiding learning parameters using network structure
Vamsi K. IthapuSathya RaviVikas Singh
2015-06-10
Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks
Conrado Silva MirandaFernando José Von Zuben
2015-06-03
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Antti RasmusHarri ValpolaTapani Raiko
2015-04-30
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
Angshul Majumdar
2015-03-22
Denoising Autoencoders for fast Combinatorial Black Box Optimization
| Malte Probst
2015-03-06
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images
Antti RasmusTapani RaikoHarri Valpola
2014-12-22
From neural PCA to deep unsupervised learning
Harri Valpola
2014-11-28
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis
Prasanna Kumar MuthukumarAlan W. Black
2014-09-30
A Denoising Autoencoder that Guides Stochastic Search
Alexander W. ChurchillSiddharth SigtiaChrisantha Fernando
2014-04-06
Learning a Deep Compact Image Representation for Visual Tracking
Naiyan WangDit-Yan Yeung
2013-12-01
Audio Classical Composer Identification by Deep Neural Network
Zhen HuKun FuChangshui Zhang
2013-01-15

Tasks

TASK PAPERS SHARE
Denoising 86 47.25%
Dictionary Learning 5 2.75%
Language Modelling 4 2.20%
Domain Adaptation 4 2.20%
Action Recognition 3 1.65%
Speech Recognition 3 1.65%
Dimensionality Reduction 3 1.65%
Pose Estimation 2 1.10%
Imputation 2 1.10%

Components

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