← Models
Deep Learning › Models ›

Generative Models

6381 directly classified papers

Papers per year

Papers

Deep Exponential Families AISTATS 2015
On Theoretical Properties of Sum-Product Networks AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines ICCV 2015
General Stochastic Networks for Classification NIPS 2014
Learning Generative Models with Visual Attention NIPS 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Semi-supervised Learning with Deep Generative Models NIPS 2014
Factoring Variations in Natural Images with Deep Gaussian Mixture Models NIPS 2014
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014
Generative Adversarial Nets NIPS 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
Convolutional Kernel Networks NIPS 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014
Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014
Deep AutoRegressive Networks ICML 2014
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014
A New Convex Relaxation for Tensor Completion NIPS 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013