Efficient searching of structured data using machine learning models
AssigneeQUALCOMM Incorporated
InventorsGuilherme HOEFEL, Diego CALZOLARI, Justin KAUFMAN
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AssigneeQUALCOMM Incorporated
InventorsGuilherme HOEFEL, Diego CALZOLARI, Justin KAUFMAN
Estimating the term…
Certain aspects of the present disclosure provide techniques and apparatus for efficient searching of structured data using machine learning models. An example method generally includes receiving a search request including an input data file as a search criterion. Using a first machine learning model, an embedding representation of the input data file is generated, and a compressed version of the input data file is generated based on the embedding representation of the input data file. One or more data files similar to the input data file are retrieved based on the compressed version of the input data file and compressed versions of data files in a data repository. The one or more data files are output as a response to the received search request.
A processor-implemented method for machine learning, comprising:
A processing system for machine learning, comprising:
Dependencies are inferred from the claim text.