most citedMitigating shortage of labeled data using clustering-based active learning with diversity exploration

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2022★ 2 cited

Mitigating shortage of labeled data using clustering-based active learning with diversity exploration

Xuyang Yan, Shabnam Nazmi, Biniam Gebru +4

In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled dat…