Patent ID: 11868443
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A system comprising:
a memory, storing first computer-executable instructions; and
a hardware processor to execute the first computer-executable instructions to:
determine a set of ordered classes indicative of a continuum of classes;
determine training data comprising a plurality of samples, wherein each sample of the plurality of samples comprises input data and a corresponding label value indicative of one ordered class of the set of ordered classes; and
train, using the training data and an ordered classification loss function, a neural network to determine a first value associated with a first ordered class of the set of ordered classes;
wherein the ordered classification loss function comprises instructions to:
determine a set of margins, wherein each margin of the set of margins is indicative of a boundary between adjacent classes of the set of ordered classes;
determine, based on the set of margins, a plurality of binary class variations;
determine, for a sample of the plurality of samples, a predicted value that is indicative of a second ordered class of the set of ordered classes;
determine, based on the predicted value and the corresponding label value that is associated with the second ordered class, a plurality of intermediate loss values, wherein each intermediate loss value of the plurality of intermediate loss values is associated with a binary class variation of the plurality of binary class variations; and
determine, based on the plurality of the intermediate loss values, a loss value associated with the ordered classification loss function.