{"id":"https://openalex.org/W2519882289","doi":"https://doi.org/10.1007/978-3-319-46466-4_37","title":"Learning to Learn: Model Regression Networks for Easy Small Sample Learning","display_name":"Learning to Learn: Model Regression Networks for Easy Small Sample Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2519882289","doi":"https://doi.org/10.1007/978-3-319-46466-4_37","mag":"2519882289"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46466-4_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46466-4_37","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"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/A5102952938","display_name":"Yu-Xiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu-Xiong Wang","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102952938"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":40.6351,"has_fulltext":false,"cited_by_count":316,"citation_normalized_percentile":{"value":0.99861053,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"634"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.8529366850852966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7062289714813232},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6915457248687744},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5840144753456116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5658498406410217},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4685426950454712},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45804187655448914},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45308437943458557},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44957906007766724},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44214341044425964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07373851537704468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8529366850852966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7062289714813232},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6915457248687744},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5840144753456116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5658498406410217},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4685426950454712},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45804187655448914},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45308437943458557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44957906007766724},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44214341044425964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07373851537704468},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46466-4_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46466-4_37","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W219040644","https://openalex.org/W343636949","https://openalex.org/W648143168","https://openalex.org/W753847829","https://openalex.org/W1479807131","https://openalex.org/W1551592259","https://openalex.org/W1566880486","https://openalex.org/W1605619629","https://openalex.org/W1722318740","https://openalex.org/W1797268635","https://openalex.org/W1821462560","https://openalex.org/W1836533770","https://openalex.org/W1861492603","https://openalex.org/W1893585201","https://openalex.org/W1917989004","https://openalex.org/W1920702274","https://openalex.org/W1922288304","https://openalex.org/W1944396096","https://openalex.org/W1950149599","https://openalex.org/W1968185127","https://openalex.org/W1970940244","https://openalex.org/W1988348003","https://openalex.org/W1990975153","https://openalex.org/W1999404243","https://openalex.org/W2010132303","https://openalex.org/W2013044826","https://openalex.org/W2034603029","https://openalex.org/W2036043322","https://openalex.org/W2038765747","https://openalex.org/W2052293776","https://openalex.org/W2062118960","https://openalex.org/W2069057437","https://openalex.org/W2078846315","https://openalex.org/W2080679867","https://openalex.org/W2097117768","https://openalex.org/W2100031962","https://openalex.org/W2102605133","https://openalex.org/W2103519186","https://openalex.org/W2104068492","https://openalex.org/W2112480082","https://openalex.org/W2114168642","https://openalex.org/W2114760689","https://openalex.org/W2115733720","https://openalex.org/W2117155597","https://openalex.org/W2117539524","https://openalex.org/W2118330267","https://openalex.org/W2118585731","https://openalex.org/W2120354757","https://openalex.org/W2120907774","https://openalex.org/W2133735566","https://openalex.org/W2133774033","https://openalex.org/W2134797427","https://openalex.org/W2136504847","https://openalex.org/W2137250288","https://openalex.org/W2137742200","https://openalex.org/W2143419558","https://openalex.org/W2144656844","https://openalex.org/W2145276819","https://openalex.org/W2148349024","https://openalex.org/W2148603752","https://openalex.org/W2149466042","https://openalex.org/W2149933564","https://openalex.org/W2151013340","https://openalex.org/W2151211319","https://openalex.org/W2152161678","https://openalex.org/W2153747924","https://openalex.org/W2155541015","https://openalex.org/W2155853132","https://openalex.org/W2155893237","https://openalex.org/W2159291644","https://openalex.org/W2159680539","https://openalex.org/W2160644528","https://openalex.org/W2162708558","https://openalex.org/W2163605009","https://openalex.org/W2163708240","https://openalex.org/W2165698076","https://openalex.org/W2166096645","https://openalex.org/W2166344886","https://openalex.org/W2166853275","https://openalex.org/W2175934250","https://openalex.org/W2186116393","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2294370754","https://openalex.org/W2352501735","https://openalex.org/W2399033357","https://openalex.org/W2401823607","https://openalex.org/W2407712691","https://openalex.org/W2410613348","https://openalex.org/W2487442924","https://openalex.org/W2533598788","https://openalex.org/W2536045881","https://openalex.org/W2566038561","https://openalex.org/W2611035488","https://openalex.org/W2913340405","https://openalex.org/W2949117887","https://openalex.org/W2949280493","https://openalex.org/W2962714319","https://openalex.org/W2962835968","https://openalex.org/W2963173190","https://openalex.org/W2963325024","https://openalex.org/W3091905774","https://openalex.org/W3102616566","https://openalex.org/W3125817276","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W4383066092","https://openalex.org/W2900584650"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":64},{"year":2020,"cited_by_count":51},{"year":2019,"cited_by_count":60},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}