155 citations · 218 across the 4 of their papers we have counts for
4 papers
Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson +1
Latent feature models are attractive for image modeling, since images generally contain multiple objects. However, many latent feature models ignore that objects can appear at diff…
Multilingual Topic Models for Unaligned Text
Jordan Boyd-Graber, David Blei
We develop the multilingual topic model for unaligned text (MuTo), a probabilistic model of text that is designed to analyze corpora composed of documents in two languages. From th…
Using Variational Inference and MapReduce to Scale Topic Modeling
Ke Zhai, Jordan Boyd-Graber, Nima Asadi
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for exploring document collections. Because of the increasing prevalence of large datasets, there is a need…
Syntactic Topic Models
Jordan Boyd-Graber, David M. Blei
The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coh…