2023
Label-Efficient and Robust Learning from Multiple Experts
ICASSP 2023accepted
Learning from multiple sources of labeled data presents unique challenges, including the cost of using many annotators in the training, test, and production time and their limited reliability. In this paper, we analyze the problem of label-efficient learning and propose a method for training a class…