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Generative Models

6381 directly classified papers

Papers per year

Papers

Gated Softmax Classification NIPS 2010
Generating more realistic images using gated MRF's NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Structured Determinantal Point Processes NIPS 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Regularized estimation of image statistics by Score Matching NIPS 2010
Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010
Replicated Softmax: an Undirected Topic Model NIPS 2009
Free energy score space NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
3D Object Recognition with Deep Belief Nets NIPS 2009
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Sparse deep belief net model for visual area V2 NIPS 2007