144 citations · 966 across the 20 of their papers we have counts for
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cs.GT2015★ 25 cited
Approval Voting and Incentives in Crowdsourcing
Nihar B. Shah, Dengyong Zhou, Yuval Peres
The growing need for labeled training data has made crowdsourcing an important part of machine learning. The quality of crowdsourced labels is, however, adversely affected by three…
cs.GT2014★ 73 cited
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Dengyong Zhou
Crowdsourcing has gained immense popularity in machine learning applications for obtaining large amounts of labeled data. Crowdsourcing is cheap and fast, but suffers from the prob…