CPC G06F 21/31 (2013.01) [G06F 18/2148 (2023.01); G06F 18/2178 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01); G06V 10/7784 (2022.01); G06V 20/00 (2022.01)] | 18 Claims |
1. A method of generating training data, the method comprising:
inputting input data to a teacher model and acquiring from the teacher model a label value of the input data, the label value comprising a probability of the input data predicted by the teacher model;
classifying the label value into one of a plurality of intervals based on comparing the label value to one or more threshold probabilities, wherein the intervals comprise an interval less than a second threshold probability, an interval greater than or equal to the second threshold probability and less than a first threshold probability, and an interval greater than or equal to the first threshold probability, wherein the first threshold probability is greater than the second threshold probability; and
generating training data for training a student model corresponding to the teacher model based on combining the input data and an identifier of the corresponding interval of the plurality of intervals.
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