公开(公告)号：US20240169272A1

公开(公告)日：2024-05-23

申请号：US18551847

申请日：2022-02-07

Applicant: Google LLC

Inventor： Patricia MacWilliams ,  Abhijit Guha Roy ,  Jim Winkens ,  Alan Karthikesalingam ,  Jie Ren ,  Balaji Lakshminarayanan

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method includes determining, by a machine learning model and based on input data, a feature map that represents learned features present in the input data. The method also includes, for each respective inlier class of a plurality of inlier classes, determining, by the machine learning model and based on the feature map, a corresponding inlier score indicative of a probability that the input data belongs to the respective inlier class. The method additionally includes, for each respective outlier class of a plurality of outlier classes, determining, by the machine learning model and based on the feature map, a corresponding outlier score indicative of a probability that the input data belongs to the respective outlier class. The method further includes determining, based on the inlier scores and the outlier scores, whether the input data corresponds to the plurality of inlier classes or to the plurality of outlier classes.