Neural Networks

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NeurIPS 2014 Large-scale Video Classification with Convolutional Neural Networks CVPR 2014 Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014 Learning by Stretching Deep Networks ICML 2014 Learning Character-level Representations for Part-of-Speech Tagging ICML 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 Low-Rank Time-Frequency Synthesis NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Multi-source Deep Learning for Human Pose Estimation CVPR 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Neural Decision Forests for Semantic Image Labelling CVPR 2014 Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014 Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 PANDA: Pose Aligned Networks for Deep Attribute Modeling CVPR 2014 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