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stat.ML2017
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons
Tom Hope, Dafna Shahaf
Crowdsourcing has become a popular method for collecting labeled training data. However, in many practical scenarios traditional labeling can be difficult for crowdworkers (for exa…
stat.ML2016
Ballpark Learning: Estimating Labels from Rough Group Comparisons
Tom Hope, Dafna Shahaf
We are interested in estimating individual labels given only coarse, aggregated signal over the data points. In our setting, we receive sets ("bags") of unlabeled instances with co…