{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11531861","patent":{"patent_number":"US-11531861","title":"Neural architecture search with factorized hierarchical search space","assignee":null,"inventors":[],"filing_date":"2019-01-28T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N","G06N","G06N","G06N"],"num_claims":19,"abstract":"The present disclosure is directed to an automated neural architecture search approach for designing new neural network architectures such as, for example, resource-constrained mobile CNN models. In particular, the present disclosure provides systems and methods to perform neural architecture search using a novel factorized hierarchical search space that permits layer diversity throughout the network, thereby striking the right balance between flexibility and search space size. The resulting neural architectures are able to be run relatively faster and using relatively fewer computing resources (e.g., less processing power, less memory usage, less power consumption, etc.), all while remaining competitive with or even exceeding the performance (e.g., accuracy) of current state-of-the-art mobile-optimized models."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Neural architecture search with factorized hierarchical search space","description":"The present disclosure is directed to an automated neural architecture search approach for designing new neural network architectures such as, for example, resource-constrained mobile CNN models. In p","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11531861","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11531861","citation_suggestion":"Patentable. \"Neural architecture search with factorized hierarchical search space\" (US-11531861). https://patentable.app/patents/US-11531861","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11531861","json":"https://patentable.app/api/llm-context/US-11531861","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T17:26:03.261Z"}