Active Data Discovery: Mining Unknown Data using Submodular Information Measures. (arXiv:2206.08566v1 [cs.CV])

Active Learning is a very common yet powerful framework for iteratively and
adaptively sampling subsets of the unlabeled sets with a human in the loop with
the goal of achieving labeling efficiency. Most real world datasets have
imbalance either in classes and slices, and correspondingly, parts of the
dataset are rare. As a result, there has been a lot of work in designing active
learning approaches for mining these rare data instances. Most approaches
assume access to a seed set …

arxiv cv data data discovery discovery information mining