Generation

Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Large-Margin Learning of Submodular Summarization Models EACL 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality AISTATS 2011 Im2Text: Describing Images Using 1 Million Captioned Photographs NeurIPS 2011 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 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 A Scalable Hierarchical Distributed Language Model NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Bayesian Co-Training NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Supervised Topic Models NeurIPS 2007