Autoencoders

Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition Interspeech 2016 Ladder Variational Autoencoders NeurIPS 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling Interspeech 2016 Novel Subband Autoencoder Features for Detection of Spoofed Speech Interspeech 2016 Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Perception Optimized Deep Denoising AutoEncoders for Speech Enhancement Interspeech 2016 Representation Learning for Speech Emotion Recognition Interspeech 2016 Unsupervised Learning of Acoustic Units Using Autoencoders and Kohonen Nets Interspeech 2016 Variational Autoencoder for Deep Learning of Images, Labels and Captions NeurIPS 2016 Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016 Autoencoder Trees ACML 2015 DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval CVPR 2015 Domain Generalization for Object Recognition With Multi-Task Autoencoders ICCV 2015 Efficient Representations for Lifelong Learning and Autoencoding COLT 2015 Hashing With Binary Autoencoders CVPR 2015 Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification CVPR 2015 Learning Discriminative Reconstructions for Unsupervised Outlier Removal ICCV 2015 MADE: Masked Autoencoder for Distribution Estimation ICML 2015 On Deep Multi-View Representation Learning ICML 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics ICCV 2015 Winner-Take-All Autoencoders NeurIPS 2015 An Autoencoder Approach to Learning Bilingual Word Representations NeurIPS 2014