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Autoencoders

1,154 papers

Papers per year

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11
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Papers

Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Learning Ordered Representations with Nested Dropout ICML 2014
Wavelets on Graphs via Deep Learning NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NIPS 2013
Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NIPS 2013
Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013
Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013
Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013
Gated Autoencoders with Tied Input Weights ICML 2013
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013
On autoencoder scoring ICML 2013
Deep Representations and Codes for Image Auto-Annotation NIPS 2012
Image Denoising and Inpainting with Deep Neural Networks NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010