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Papers
A Practical Algorithm for Topic Modeling with Provable Guarantees
ICML 2013
A recursive estimate for the predictive likelihood in a topic model
AISTATS 2013
A unifying representation for a class of dependent random measures
AISTATS 2013
Bringing Semantics into Focus Using Visual Abstraction
CVPR 2013
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification
ICCV 2013
Documents as multiple overlapping windows into grids of counts
NeurIPS 2013
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
ICML 2013
Hallucinated Humans as the Hidden Context for Labeling 3D Scenes
CVPR 2013
LDA Topic Model with Soft Assignment of Descriptors to Words
ICML 2013
Lexical and Hierarchical Topic Regression
NeurIPS 2013
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
ICML 2013
Modeling Musical Influence with Topic Models
ICML 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition
NeurIPS 2013
Scalable Inference for Logistic-Normal Topic Models
NeurIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
NeurIPS 2013
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
ICML 2013
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior
CVPR 2013
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
ICML 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
NeurIPS 2013
A Neural Autoregressive Topic Model
NeurIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation
NeurIPS 2012
Augment-and-Conquer Negative Binomial Processes
NeurIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
NeurIPS 2012
Factorial LDA: Sparse Multi-Dimensional Text Models
NeurIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior
NeurIPS 2012