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Generative Models

6381 directly classified papers

Papers per year

Papers

MADE: Masked Autoencoder for Distribution Estimation ICML 2015
DRAW: A Recurrent Neural Network For Image Generation ICML 2015
Generative Moment Matching Networks ICML 2015
Celeste: Variational inference for a generative model of astronomical images ICML 2015
Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014
Deep AutoRegressive Networks ICML 2014
Convolutional Kernel Networks 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
General Stochastic Networks for Classification NIPS 2014
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Factoring Variations in Natural Images with Deep Gaussian Mixture Models NIPS 2014
Generative Adversarial Nets NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
Deep Learning Shape Priors for Object Segmentation CVPR 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013