{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481623","patent":{"patent_number":"US-11481623","title":"Systems and methods for training a model using a few-shot classification process","assignee":null,"inventors":[],"filing_date":"2019-09-25T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06N","G06N","G06F","G06F","G06N"],"num_claims":20,"abstract":"There is provided a method of computing a model for classification of a data element, comprising: feeding a plurality of labeled auxiliary data elements and at least one labeled relevant data elements for each of a plurality of relevant classification categories, into a synthesizer component, for outputting at least one synthetic labeled relevant data element for each one of the plurality of relevant classification categories, feeding the synthetic labeled relevant data elements and a plurality of unlabelled training relevant data elements into a domain adaptation component, for outputting a respective relevant classification category for each of the plurality of unlabelled training relevant data elements, iteratively end-to-end training the synthesis component and the domain adaptation component, and providing the trained domain adaption component, for outputting a relevant classification category in response to an input of a query unlabelled data element."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for training a model using a few-shot classification process","description":"There is provided a method of computing a model for classification of a data element, comprising: feeding a plurality of labeled auxiliary data elements and at least one labeled relevant data elements","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481623","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-11481623","citation_suggestion":"Patentable. \"Systems and methods for training a model using a few-shot classification process\" (US-11481623). https://patentable.app/patents/US-11481623","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481623","json":"https://patentable.app/api/llm-context/US-11481623","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:24:58.479Z"}