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Generative Models

7,221 papers

Papers per year

11
34
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943
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Papers

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014
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 Generative Stochastic Networks Trainable by Backprop ICML 2014
Deep AutoRegressive Networks ICML 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Extracting regions of interest from biological images with convolutional sparse block coding NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Deep Gaussian Processes AISTATS 2013
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013
Deep Learning Shape Priors for Object Segmentation CVPR 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013