{"id":"https://openalex.org/W3098068064","doi":"https://doi.org/10.1007/978-3-030-58520-4_37","title":"Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning","display_name":"Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3098068064","doi":"https://doi.org/10.1007/978-3-030-58520-4_37","mag":"3098068064"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58520-4_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58520-4_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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.09972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101969369","display_name":"Yuki Saito","orcid":"https://orcid.org/0000-0003-0492-414X"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I4210136457","display_name":"Shibuya (Japan)","ror":"https://ror.org/03t1ztz45","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210136457"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Saito","raw_affiliation_strings":["The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan","ZOZO Research, Jingumae, Shibuya, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0492-414X","affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"ZOZO Research, Jingumae, Shibuya, Tokyo, Japan","institution_ids":["https://openalex.org/I4210136457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042701707","display_name":"Takuma Nakamura","orcid":"https://orcid.org/0000-0001-7904-4724"},"institutions":[{"id":"https://openalex.org/I4210136457","display_name":"Shibuya (Japan)","ror":"https://ror.org/03t1ztz45","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210136457"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Nakamura","raw_affiliation_strings":["ZOZO Research, Jingumae, Shibuya, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7904-4724","affiliations":[{"raw_affiliation_string":"ZOZO Research, Jingumae, Shibuya, Tokyo, Japan","institution_ids":["https://openalex.org/I4210136457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073076975","display_name":"Hirotaka Hachiya","orcid":"https://orcid.org/0000-0003-3748-4101"},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Hachiya","raw_affiliation_strings":["Wakayama University, Wakayama, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3748-4101","affiliations":[{"raw_affiliation_string":"Wakayama University, Wakayama, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012922872","display_name":"Kenji Fukumizu","orcid":"https://orcid.org/0000-0002-3488-2625"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Fukumizu","raw_affiliation_strings":["The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan","The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3488-2625","affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan","institution_ids":["https://openalex.org/I4210134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101969369"],"corresponding_institution_ids":["https://openalex.org/I200475212","https://openalex.org/I4210136457"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.362,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94068185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"626","last_page":"646"},"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":0.9894999861717224,"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":0.9894999861717224,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9853000044822693,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9843999743461609,"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/set","display_name":"Set (abstract data type)","score":0.8090328574180603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728341817855835},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7558860778808594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5564007759094238},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4814562201499939},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.451163113117218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39845010638237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38047096133232117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3499515652656555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1279090940952301}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.8090328574180603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728341817855835},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7558860778808594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5564007759094238},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4814562201499939},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.451163113117218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39845010638237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38047096133232117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499515652656555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1279090940952301},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-58520-4_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58520-4_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"},{"id":"pmh:oai:arXiv.org:1910.09972","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.09972","pdf_url":"https://arxiv.org/pdf/1910.09972","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.09972","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.09972","pdf_url":"https://arxiv.org/pdf/1910.09972","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3745455025","display_name":"Advance of artificial intelligence by theoretical investigation of deep learning","funder_award_id":"18K19793","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":118,"referenced_works":["https://openalex.org/W1498305593","https://openalex.org/W1502916507","https://openalex.org/W1506778248","https://openalex.org/W1686810756","https://openalex.org/W1820849028","https://openalex.org/W1900408618","https://openalex.org/W1996939238","https://openalex.org/W2021340975","https://openalex.org/W2022398315","https://openalex.org/W2042281163","https://openalex.org/W2078917276","https://openalex.org/W2102384126","https://openalex.org/W2102773363","https://openalex.org/W2110599581","https://openalex.org/W2117539524","https://openalex.org/W2122691893","https://openalex.org/W2126017757","https://openalex.org/W2139763424","https://openalex.org/W2143159002","https://openalex.org/W2144093206","https://openalex.org/W2150600350","https://openalex.org/W2156387975","https://openalex.org/W2158019970","https://openalex.org/W2163605009","https://openalex.org/W2171279286","https://openalex.org/W2173183968","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2261463483","https://openalex.org/W2325939864","https://openalex.org/W2470673105","https://openalex.org/W2475089565","https://openalex.org/W2511135850","https://openalex.org/W2511791013","https://openalex.org/W2551687757","https://openalex.org/W2555897561","https://openalex.org/W2560609797","https://openalex.org/W2598634450","https://openalex.org/W2612445135","https://openalex.org/W2617322972","https://openalex.org/W2626778328","https://openalex.org/W2737102415","https://openalex.org/W2738760914","https://openalex.org/W2741851275","https://openalex.org/W2747685395","https://openalex.org/W2752782242","https://openalex.org/W2772328249","https://openalex.org/W2775306753","https://openalex.org/W2785934082","https://openalex.org/W2787981277","https://openalex.org/W2798649495","https://openalex.org/W2799020113","https://openalex.org/W2799132636","https://openalex.org/W2882676746","https://openalex.org/W2882991827","https://openalex.org/W2883348239","https://openalex.org/W2894982307","https://openalex.org/W2895433044","https://openalex.org/W2896359368","https://openalex.org/W2898095674","https://openalex.org/W2906943923","https://openalex.org/W2912053445","https://openalex.org/W2920448302","https://openalex.org/W2934842096","https://openalex.org/W2944572676","https://openalex.org/W2946747499","https://openalex.org/W2949398047","https://openalex.org/W2949786306","https://openalex.org/W2950096404","https://openalex.org/W2950409726","https://openalex.org/W2950642167","https://openalex.org/W2950762923","https://openalex.org/W2951063632","https://openalex.org/W2951168573","https://openalex.org/W2951254243","https://openalex.org/W2951555918","https://openalex.org/W2952433032","https://openalex.org/W2952753997","https://openalex.org/W2953273646","https://openalex.org/W2962724767","https://openalex.org/W2963157250","https://openalex.org/W2963216120","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963575874","https://openalex.org/W2963857660","https://openalex.org/W2964044605","https://openalex.org/W2964068264","https://openalex.org/W2964648863","https://openalex.org/W2978169938","https://openalex.org/W2982029383","https://openalex.org/W2991055479","https://openalex.org/W2993261597","https://openalex.org/W2997018136","https://openalex.org/W3001510267","https://openalex.org/W3001647705","https://openalex.org/W3006403619","https://openalex.org/W3099462466","https://openalex.org/W3100153382","https://openalex.org/W3101183984","https://openalex.org/W3104731853","https://openalex.org/W6600077625","https://openalex.org/W6600137863","https://openalex.org/W6600175266","https://openalex.org/W6600577134","https://openalex.org/W6600654476","https://openalex.org/W6600710366","https://openalex.org/W6601937310","https://openalex.org/W6602192702","https://openalex.org/W6604344240","https://openalex.org/W6605475740","https://openalex.org/W6629956336","https://openalex.org/W6639628676","https://openalex.org/W6677978660","https://openalex.org/W6702248584","https://openalex.org/W6819468515"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W3125889879"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}