For downstream applications of vision-language pre-trained models, there...
Embedded topic models are able to learn interpretable topics even with l...
We propose a Bayesian generative model for incorporating prior domain
kn...
Existing deep hierarchical topic models are able to extract semantically...
Reasoning in a temporal knowledge graph (TKG) is a critical task for
inf...
Given the convenience of collecting information through online services,...
Graphs are ubiquitous in modelling relational structures. Recent endeavo...