Label Aggregation via Finding Consensus Between Models

19 Jul 2018Chi HongYichi Zhou

Label aggregation is an efficient and low cost way to make large datasets for supervised learning. It takes the noisy labels provided by non-experts and infers the unknown true labels... (read more)

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