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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010
Free energy score space NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009
3D Object Recognition with Deep Belief Nets NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Sparse deep belief net model for visual area V2 NIPS 2007
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
Modeling Human Motion Using Binary Latent Variables NIPS 2006
Learning Image Components for Object Recognition JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Probability Product Kernels JMLR 2004
A Neural Probabilistic Language Model JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003