Patent ID: 11907818
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A computing device comprising:
one or more processors; and
one or more non-transitory computer-readable media that store instructions that, when the instructions are executed by the one or more processors, cause the computer system to perform operations to learn a compressed representation of a machine-learned model via a representation within a reparameterization space, the operations comprising:
employing, by the one or more computing devices, the machine-learned model to generate a prediction based on a training input, wherein an uncompressed representation of the machine-learned model is characterized by a plurality of model parameters that are representable, within the reparameterization space, by a plurality of reparametrized representations;
modifying, by the one or more computing devices, at least one data element of a set of data elements based on an evaluation of a loss function that is a function of the prediction, wherein the set of data elements includes at least the plurality of parameterized representations and one or more decoder models that are configured to transform the plurality of reparametrized representations into the plurality of model parameters;
after modifying the at least one data element, generating, by the one or more computing devices, the compressed reparametrized representation of the machine-learned model based on applying one or more entropy coding compression techniques to the plurality of reparametrized representations.