SYSTEMS AND METHODS FOR FACILITATING INTEGRATIVE, EXTENSIBLE, COMPOSABLE, AND INTERPRETABLE DEEP LEARNING

Some disclosed systems are configured to obtain a knowledge module configured to receive one or more knowledge inputs corresponding to one or more different modalities and generate a set of knowledge embeddings to be integrated with a set of multi-modal embeddings generated by a multi-modal main mod...

Full description

Saved in:
Bibliographic Details
Main Authors QIAN, Yao, YUAN, Lu, ZENG, Nanshan, SHI, Yu, HUANG, Xuedong David, ZHU, Chenguang
Format Patent
LanguageEnglish
Published 20.07.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Some disclosed systems are configured to obtain a knowledge module configured to receive one or more knowledge inputs corresponding to one or more different modalities and generate a set of knowledge embeddings to be integrated with a set of multi-modal embeddings generated by a multi-modal main model. The systems receive a knowledge input at the knowledge module, identify a knowledge type associated with the knowledge input, and extract a knowledge unit from the knowledge input. The systems select a representation model that corresponds to the knowledge type and select a grounding type configured to ground the at least one knowledge unit into the representation model. The systems then ground the knowledge unit into the representation model according to the grounding type.
Bibliography:Application Number: US202217579321