{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11967141","patent":{"patent_number":"US-11967141","title":"Neural architecture search for fusing multiple networks into one","assignee":null,"inventors":[],"filing_date":"2023-01-30T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G06V"],"num_claims":20,"abstract":"One or more embodiments of the present disclosure include systems and methods that use neural architecture fusion to learn how to combine multiple separate pre-trained networks by fusing their architectures into a single network for better computational efficiency and higher accuracy. For example, a computer implemented method of the disclosure includes obtaining multiple trained networks. Each of the trained networks may be associated with a respective task and has a respective architecture. The method further includes generating a directed acyclic graph that represents at least a partial union of the architectures of the trained networks. The method additionally includes defining a joint objective for the directed acyclic graph that combines a performance term and a distillation term. The method also includes optimizing the joint objective over the directed acyclic graph."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Neural architecture search for fusing multiple networks into one","description":"One or more embodiments of the present disclosure include systems and methods that use neural architecture fusion to learn how to combine multiple separate pre-trained networks by fusing their archite","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11967141","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-11967141","citation_suggestion":"Patentable. \"Neural architecture search for fusing multiple networks into one\" (US-11967141). https://patentable.app/patents/US-11967141","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11967141","json":"https://patentable.app/api/llm-context/US-11967141","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:48:02.480Z"}