Invention Grant
- Patent Title: Mixed machine learning architecture
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Application No.: US15694707Application Date: 2017-09-01
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Publication No.: US11144812B2Publication Date: 2021-10-12
- Inventor: Xianjie Chen , Wenlin Chen , Liang Xiong , Tianshi Gao
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; H04L29/08

Abstract:
A preprocessing module of a neural network has a first input and second input. The module generates multiple, different first latent vector representations of its first input, and multiple, different second latent vector representations of its second input. The module then models pairwise interactions between every unique pairwise combination of the first and second latent vector representations. The module then produces an intermediate output by combining the results of the modeled pairwise interactions.
Public/Granted literature
- US20190073581A1 Mixed Machine Learning Architecture Public/Granted day:2019-03-07
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