Patent ID: 11907816
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A system comprising:
a classification system, implemented at least in part in hardware, to receive input data, classify the input data, and output a label indicating a classification of the input data;
an instance sampling module, implemented at least in part in hardware, to select, based on entropies of at least two training instances in a training data set used to train the classification system, a first training instance from a first subset of the training data set that includes multiple training instances that are in a minority class and a second training instance from a second subset of the training data set that includes multiple training instances that are in a majority class;
a synthetic training instance generation module, implemented at least in part in hardware, to generate a synthetic training instance by combining the first training instance and the second training instance, to generate a synthetic training label for the synthetic training instance based on a training label for the first training instance and a training label for the second training instance, and to augment the training data set with the synthetic training instance and the synthetic training label, resulting in an augmented training data set; and
a training system, implemented at least in part in hardware, to re-train the classification system by applying the augmented training data set to the data classification system and adjusting weights within the data classification system based on the augmented training data set.