公开(公告)号：US20250045633A1

公开(公告)日：2025-02-06

申请号：US18749378

申请日：2024-06-20

Applicant: NETFLIX, INC.

Inventor： Shervin Ardeshir BEHROSTAGHI ,  Qi QI

IPC: G06N20/00

Abstract: In various embodiments, a model trainer application trains a machine learning model with improved identity robustness. The model trainer application first processes images of faces using a trained face recognition model to generate a proxy representation of an identity of the individual in each image. Representations of individuals with similar faces lie in the same neighborhoods within a proxy identity space. The model trainer application trains a machine learning model to perform a task relating to faces while considering the accuracy of each identity proxy neighborhood. The model trainer assigns different weights to each image sample in a neighborhood based on the number of samples with the same output class in that neighborhood. The assigned weights can then be used to compute a relatively unbiased identity loss function that is used to train the machine learning model to perform the task relating to faces while being robust to identity features.