ner queue of size n = 3 and the following movement patterns for four individual instances that ultimately home in on q 0 (recall that correct prediction promotes an instance to a higher queue, while wrong prediction demotes it to a lower queue): Although all these instances ultimately home in on the same queue, they may have different contributions to the training of a model because there is a considerable difference in the ability of the downstream network in learning their labels.
if there is a large deviation among movement patterns of instances of the same queue, better data sampling policies could be developed, perhaps through finer-grained queue-level sampling.