METHODS AND APPARATUS TO MODIFY PRE-TRAINED MODELS TO APPLY NEURAL ARCHITECTURE SEARCH

Methods, apparatus, systems, and articles of manufacture to modify pre-trained models to apply neural architecture search are disclosed. Example instructions, when executed, cause processor circuitry to at least access a pre-trained machine learning model, create a super-network based on the pre-tra...

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Bibliographische Detailangaben
Hauptverfasser: Lyalyushkin, Nikolay, Shamporov, Vasily, Senina, Anastasia, Muñoz, Juan Pablo, Jain, Nilesh, Lacewell, Chaunté, Kozlov, Alexander
Format: Patent
Sprache:eng
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Zusammenfassung:Methods, apparatus, systems, and articles of manufacture to modify pre-trained models to apply neural architecture search are disclosed. Example instructions, when executed, cause processor circuitry to at least access a pre-trained machine learning model, create a super-network based on the pre-trained machine learning model, create a plurality of subnetworks based on the super-network, and search the plurality of subnetworks to select a subnetwork.