Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: On Estimation and Selection for Topic Models
On Smoothing and Inference for Topic Models
Learning topic models --- provably and efficiently
Large-Scale Hierarchical Topic Models
Admixture of Poisson MRFs: A Topic Model with Word Dependencies
Ordering-sensitive and Semantic-aware Topic Modeling
Visualizing Topic Models
Efficient Correlated Topic Modeling with Topic Embedding
medlda : maximum margin supervised topic models .
Tracking trends: incorporating term volume into temporal topic models
Continuous Time Dynamic Topic Models
Deep Unfolding for Topic Models
Erratum: “Improving Topic Models with Latent Feature Word Representations”
Sprite: Generalizing Topic Models with Structured Priors
The Topic Browser An Interactive Tool for Browsing Topic Models
Incorporating Word Correlation Knowledge into Topic Modeling
Supervised N-gram topic model
Recall estimation for rare topic retrieval from large corpuses
Probabilistic author-topic models for information discovery
Correlated Tag Learning in Topic Model
Statistical topic models for multi-label document classification
Hierarchical Bayesian Models for Applications in Information retrieval
Hyperspectral Band Selection Using Improved Firefly Algorithm
Finding Good Representations of Emotions for Text Classification
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
Combining lexicon and learning based approaches for concept-level sentiment analysis