Distributions In, Distributions Out: The Case for Soft-Label Training

Agamdeep Singh, Ashish Tiwari, Hosein Hasanbeig +1

Supervised classifiers output a distribution over classes but are typically trained against a single label obtained by collapsing multiple annotators into a majority vote. On tasks…