Amin Mantrach

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

In practical settings, classification datasets are obtained through a labelling process that is usually done by humans. Labels can be noisy as they are obtained by aggregating the different individual labels assigned to the same sample by multiple, and possibly disagreeing, annotators. The inter-rat…