In order to design a solution to mitigate the effects of noisy data, we can treat our DSRE model learning procedure as analogous to two students training with a curriculum to answer a list of multiple-choice questions, where some difficult multiple-choice questions may have no correct answers (false positive).
(2) We propose conflicts and small loss tricks for our collaborative curriculum learning.