公开(公告)号：US20230281362A1

公开(公告)日：2023-09-07

申请号：US17649472

申请日：2022-01-31

Applicant: X Development LLC

Inventor： Nicholas Ruggero ,  Federico Vaggi ,  Mohammad Mahdi Shafiei ,  Joseph Dale

IPC: G06F30/27

CPC classification number: G06F30/27

Abstract: A set of conditions is defined that to be simulated via execution of a machine-learning model. For each condition, a set of learnable condition-specific parameters is identified to configure a model architecture. A first learnable condition-specific parameter associated with a first condition of the set of conditions can be identified a shared or global parameter that is to have a same value as at least another learnable condition-specific parameter (associated with another condition). One or more parameter data structures can be configured with parameter values for the sets of condition-specific parameters for the sets of conditions, where the configuration imposes a constraint that a value for the first condition-specific parameter and the at least one value for the at least one other condition-specific parameter are the same. The machine-learning model can be trained using the configured parameter data structure(s).