{"id":"https://openalex.org/W2774178688","doi":null,"title":"Semi-Supervised Few-Shot Learning with Prototypical Networks.","display_name":"Semi-Supervised Few-Shot Learning with Prototypical Networks.","publication_year":2017,"publication_date":"2017-11-29","ids":{"openalex":"https://openalex.org/W2774178688","mag":"2774178688"},"language":"en","primary_location":{"id":"mag:2774178688","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1711.10856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065850081","display_name":"Rinu Boney","orcid":"https://orcid.org/0000-0002-6968-7109","observed_orcids":["https://orcid.org/0000-0002-6968-7109"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rinu Boney","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6968-7109","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103933556","display_name":"Alexander Ilin","orcid":"https://orcid.org/0000-0001-6419-3006","observed_orcids":["https://orcid.org/0000-0001-6419-3006"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Ilin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6419-3006","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2986,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.82497675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9179999828338623},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.8539999723434448},{"id":"https://openalex.org/keywords/prototypical-networks","display_name":"prototypical networks","score":0.8550000190734863},{"id":"https://openalex.org/keywords/few-shot-classification","display_name":"few-shot classification","score":0.9139999747276306},{"id":"https://openalex.org/keywords/unlabeled-data","display_name":"unlabeled data","score":0.9739999771118164},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.7429999709129333},{"id":"https://openalex.org/keywords/metric-learning","display_name":"metric learning","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7044850587844849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957429647445679},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6779599189758301},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6595659852027893},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5829042792320251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5716874599456787},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5395649075508118},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5101340413093567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3760588467121124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1696278154850006},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.048914939165115356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04832550883293152},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2774178688","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1711.10856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2194321275","https://openalex.org/W2604763608","https://openalex.org/W2753160622","https://openalex.org/W2963341924","https://openalex.org/W3091905774"],"related_works":["https://openalex.org/W2798587440","https://openalex.org/W3006076421","https://openalex.org/W2918418295","https://openalex.org/W2787035179","https://openalex.org/W3111169993","https://openalex.org/W4295296126","https://openalex.org/W4387766320","https://openalex.org/W2601450892","https://openalex.org/W7133235019","https://openalex.org/W3089996731"],"abstract_inverted_index":{"We":[0,29,45],"consider":[1],"the":[2,9,23,42],"problem":[3],"of":[4,53],"semi-supervised":[5],"few-shot":[6],"classification":[7,43],"(when":[8],"few":[10],"labeled":[11],"samples":[12],"are":[13],"accompanied":[14],"with":[15],"unlabeled":[16,54],"data)":[17],"and":[18,35],"show":[19,31,47],"how":[20],"to":[21,26],"adapt":[22],"Prototypical":[24],"Networks":[25],"this":[27],"problem.":[28],"first":[30],"that":[32],"using":[33],"larger":[34],"better":[36],"regularized":[37],"prototypical":[38],"networks":[39],"can":[40],"improve":[41],"accuracy.":[44],"then":[46],"further":[48],"improvements":[49],"by":[50],"making":[51],"use":[52],"data.":[55]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-12-22T00:00:00"}