公开(公告)号：US20230229736A1

公开(公告)日：2023-07-20

申请号：US17579566

申请日：2022-01-19

Applicant: Lemon Inc.

Inventor： Xia XIAO ,  Ming CHEN ,  Youlong CHENG

IPC: G06K9/62 ,  G06F17/16 ,  G06N20/00

CPC classification number: G06K9/6257 ,  G06F17/16 ,  G06N20/00

Abstract: Embodiments of the present disclosure relate to feature selection via an ensemble of gating layers. According to embodiments of the present disclosure, a set of model parameter values for a machine learning model and a set of embedding vectors are determined for an input field of the machine learning model. The machine learning model is constructed to map an input sample in the input field to an embedding vector in the embedding vectors and process the embedding vector with the model parameter values to generate a model output. The machine learning model is trained by updating the model parameter values and the embedding vectors according to at least a first training objective function, the first training objective function being based on an orthogonality metric between embedding vectors in the embedding vectors and based on a difference between the model output and a ground-truth model output.