Reverse-auction-based crowdsourced labeling for active learning

In the past few years, Machine Learning (ML) has aroused great interest in both academic and industrial societies. ML is booming because of its huge application potential in many areas, such as facial recognition, natural language processing, self-driving car, and so on. Nevertheless, one of the key problems is the scarcity of labeled data. Fortunately, mobile crowdsourcing makes it possible to recruit mobile workers to label large-scale data by...