Autoencoders

Conditional Random Field Autoencoders for Unsupervised Structured Prediction NeurIPS 2014 Deep AutoRegressive Networks ICML 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Learning Ordered Representations with Nested Dropout ICML 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Pre-training of Recurrent Neural Networks via Linear Autoencoders NeurIPS 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses CVPR 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders CVPR 2014 Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NeurIPS 2013 Gated Autoencoders with Tied Input Weights ICML 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 On autoencoder scoring ICML 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013 Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012