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Generative Models

6381 directly classified papers

Papers per year

Papers

Generating Videos with Scene Dynamics NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Deep Learning Models of the Retinal Response to Natural Scenes NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
How to Center Deep Boltzmann Machines JMLR 2016
Cells in Multidimensional Recurrent Neural Networks JMLR 2016
Auxiliary Deep Generative Models ICML 2016
Learning to Generate with Memory ICML 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine INTERSPEECH 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning ICML 2016
One-Shot Generalization in Deep Generative Models ICML 2016
Neural Variational Inference for Text Processing ICML 2016
Bidirectional Helmholtz Machines ICML 2016
A Theory of Generative ConvNet ICML 2016
Deep Structured Energy Based Models for Anomaly Detection ICML 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016
Augmentable Gamma Belief Networks JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Neural Autoregressive Distribution Estimation JMLR 2016
Autoencoding beyond pixels using a learned similarity metric ICML 2016
Pixel Recurrent Neural Networks ICML 2016