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Generative Models

6381 directly classified papers

Papers per year

Papers

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Restoring an Image Taken through a Window Covered with Dirt or Rain ICCV 2013
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Extracting regions of interest from biological images with convolutional sparse block coding NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013
Deep Learning Shape Priors for Object Segmentation CVPR 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013
Deep Gaussian Processes AISTATS 2013
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
A Generative Model for Parts-based Object Segmentation NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012