topic model

A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Rethinking LDA: Why Priors Matter NeurIPS 2009 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Spatial Latent Dirichlet Allocation NeurIPS 2007 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 Latent Dirichlet Allocation JMLR 2003 Matching Words and Pictures JMLR 2003