Architectures

Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Face Recognition Using Face Patch Networks ICCV 2013 Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines CVPR 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Gated Autoencoders with Tied Input Weights ICML 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps ICCV 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NeurIPS 2013 Hybrid Deep Learning for Face Verification ICCV 2013 Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks ICCV 2013 Iterative Learning and Denoising in Convolutional Neural Associative Memories ICML 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Locally-Linear Learning Machines (L3M) ACML 2013 Maxout Networks ICML 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multi-stage Contextual Deep Learning for Pedestrian Detection ICCV 2013 Noise-Enhanced Associative Memories NeurIPS 2013 On autoencoder scoring ICML 2013