denoising autoencoder

Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement Interspeech 2016 Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016 Domain Generalization for Object Recognition With Multi-Task Autoencoders ICCV 2015 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 What Regularized Auto-Encoders Learn from the Data-Generating Distribution JMLR 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010