For example, consider Figure 1, which shows random input vs. input selected using AL to consider the network structure.
this brings us to what we define as the chickenand-egg corpus and model conundrum, which refers to how AL often happens in a closed-loop process, the underlying model or models directly influencing which data is selected for annotation, which improves the model's accuracy, and so on.