Instead of relying on human-annotated training samples to build a classi...
Few-shot question answering (QA) aims at precisely discovering answers t...
Dynamically planning in multi-agent systems has been explored to improve...
Multivariate time-series (MTS) forecasting is a paramount and fundamenta...
We study the problem of weakly supervised text classification, which aim...
Multi-variate time series (MTS) data is a ubiquitous class of data
abstr...
COVID-19 has caused lasting damage to almost every domain in public heal...
Categorizing documents into a given label hierarchy is intuitively appea...
Taxonomy construction is not only a fundamental task for semantic analys...
A user can be represented as what he/she does along the history. A commo...