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Generative Models

6381 directly classified papers

Papers per year

Papers

Deep Colorization ICCV 2015
Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines ICCV 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Geometry and Expressive Power of Conditional Restricted Boltzmann Machines JMLR 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Unsupervised Learning by Program Synthesis NIPS 2015
Max-Margin Deep Generative Models NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
Data Generation as Sequential Decision Making NIPS 2015
Texture Synthesis Using Convolutional Neural Networks NIPS 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NIPS 2015
Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015
Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions CVPR 2015
Beyond Principal Components: Deep Boltzmann Machines for Face Modeling CVPR 2015
Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NIPS 2015
Generative Image Modeling Using Spatial LSTMs NIPS 2015
Fast and Flexible Convolutional Sparse Coding CVPR 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics ICML 2015
Unsupervised Semantic Parsing of Video Collections ICCV 2015
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015
Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015