Generative Models

Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Learning Generative Models with Visual Attention NeurIPS 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Restricted Boltzmann machines modeling human choice NeurIPS 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013 Annealing between distributions by averaging moments NeurIPS 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013 Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013 Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013 Deep Gaussian Processes AISTATS 2013 Deep Learning Shape Priors for Object Segmentation CVPR 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning the Structure of Sum-Product Networks ICML 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013