Architectures

On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Perfect Associative Learning with Spike-Timing-Dependent Plasticity NeurIPS 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013 Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination CVPR 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013 Seeking the Strongest Rigid Detector CVPR 2013 Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013 Shufflets: Shared Mid-level Parts for Fast Object Detection ICCV 2013 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Understanding Dropout 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 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NeurIPS 2012 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012