Review for NeurIPS paper: Exemplar Guided Active Learning

Why is the sampling strategy switched to uncertainty sampling once an example is collected? Is it because after the classifier seeing one example in a rare class, it could start to give high uncertainty to the rare class? If that is the case, I do not understand why we cannot use the initial example (in WordNet?), which we assume to be available at the beginning, to train the classifier and directly use uncertainty sampling at the beginning. Minor questions: 1. Did you try to use cosine distance rather than L2 distance in the guided search? It might improve the performance a little?