Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Topic Modeling using Variational Auto-Encoders with Gumbel-Softmax and Logistic-Normal Mixture Distributions
A neural autoregressive topic model
Towards Big Topic Modeling
A segmented topic model based on the two-parameter Poisson-Dirichlet process
Efficient Tree-Based Topic Modeling
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
Large-Scale Hierarchical Topic Models
Interactive Topic Modeling
Sprite: Generalizing Topic Models with Structured Priors
Disentangling the Latent Space of (Variational) Autoencoders for NLP
An overview of topic modeling methods and tools
A Survey of Topic Modeling in Text Mining
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
Mining concepts from code with probabilistic topic models
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Variational Inference using Implicit Distributions
Latent Dirichlet Allocation
Accelerated Variational Dirichlet Process Mixtures
Parsimonious Topic Models with Salient Word Discovery
Parametric and Non-parametric User-aware Sentiment Topic Models
In-DBMS Sampling-based Sub-trajectory Clustering.
The Machine Vision Toolbox: a MATLAB toolbox for vision and vision-based control
Ruler-Search Technique (RST) Algorithm to Locate Charging Infrastructure on a Particular Interstate or US-Highway
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips
Multiple Aspect Ranking Using the Good Grief Algorithm