公开(公告)号：US20250094781A1

公开(公告)日：2025-03-20

申请号：US18468873

申请日：2023-09-18

Applicant: QUALCOMM Incorporated

Inventor： Babak EHTESHAMI BEJNORDI ,  Gaurav KUMAR ,  Amelie Marie Estelle ROYER ,  Eduardo ESTEVES ,  Tijmen Pieter Frederik BLANKEVOORT ,  Mohsen GHAFOORIAN

IPC: G06N3/0464 ,  G06N3/084

Abstract: Systems and techniques are described herein for training and using multitask machine learning models. For example, a computing device can obtain training data for a first task in a layer in a neural network; perform, based on a determination from a first gating mechanism, the shared function on shared features of the training data using at least one shared channel to generate a shared feature map; perform, based on the determination from the first gating mechanism, the first task-specific function on first task-specific features of the training data using at least one first task-specific channel to generate a first task-specific feature map; generate an output for the first task-specific branch based on performing the shared function on the shared features and performing the first task-specific function on the first task-specific features; and update at least one parameter of the first gating mechanism based on the output.