generative model

Least Soft-Threshold Squares Tracking CVPR 2013 Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Optimizing Instructional Policies NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013 That was fast! Speeding up NN search of high dimensional distributions. ICML 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 Why Steiner-tree type algorithms work for community detection AISTATS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012