Architectures

Pre-training of Recurrent Neural Networks via Linear Autoencoders NeurIPS 2014 Provable Bounds for Learning Some Deep Representations ICML 2014 Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014 Recurrent Models of Visual Attention NeurIPS 2014 Recursive Context Propagation Network for Semantic Scene Labeling NeurIPS 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Scalable Object Detection using Deep Neural Networks CVPR 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses CVPR 2014 Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 To go deep or wide in learning? AISTATS 2014 Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014 Two-Stream Convolutional Networks for Action Recognition in Videos NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Unsupervised learning of an efficient short-term memory network NeurIPS 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders CVPR 2014 Adaptive dropout for training deep neural networks NeurIPS 2013