{"id":"https://openalex.org/W3020352685","doi":"https://doi.org/10.1007/978-3-030-44584-3_10","title":"Transfer Learning by Learning Projections from Target to Source","display_name":"Transfer Learning by Learning Projections from Target to Source","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020352685","doi":"https://doi.org/10.1007/978-3-030-44584-3_10","mag":"3020352685"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-44584-3_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_10","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-030-44584-3_10","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050061032","display_name":"Antoine Cornu\u00e9jols","orcid":"https://orcid.org/0000-0002-2979-3521"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antoine Cornu\u00e9jols","raw_affiliation_strings":["UMR MIA-Paris, AgroParisTech, INRA, Universit\u00e9 Paris-Saclay, 75005, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-2979-3521","affiliations":[{"raw_affiliation_string":"UMR MIA-Paris, AgroParisTech, INRA, Universit\u00e9 Paris-Saclay, 75005, Paris, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050034279","display_name":"Pierre-Alexandre Murena","orcid":"https://orcid.org/0000-0003-4586-9511"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Alexandre Murena","raw_affiliation_strings":["Telecom ParisTech - Universit\u00e9 Paris-Saclay, 75013, Paris, France","UMR MIA-Paris, AgroParisTech, INRA, Universit\u00e9 Paris-Saclay, 75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecom ParisTech - Universit\u00e9 Paris-Saclay, 75013, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954"]},{"raw_affiliation_string":"UMR MIA-Paris, AgroParisTech, INRA, Universit\u00e9 Paris-Saclay, 75005, Paris, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091011631","display_name":"Rapha\u00ebl Olivier","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":false,"raw_author_name":"Rapha\u00ebl Olivier","raw_affiliation_strings":["University Carnegie-Mellon, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Carnegie-Mellon, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050061032"],"corresponding_institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.46,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6320119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"131"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7524267435073853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7229212522506714},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.706462025642395},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.699968695640564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915599703788757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5543985962867737},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5104014277458191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4611833691596985},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.44872233271598816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08187335729598999},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05504617094993591}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7524267435073853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229212522506714},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.706462025642395},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.699968695640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915599703788757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5543985962867737},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5104014277458191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4611833691596985},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.44872233271598816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08187335729598999},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05504617094993591},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-44584-3_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_10","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-03650261v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03650261","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Symposium on Intelligent Data Analysis, Apr 2020, Constance, Germany. pp.119 - 131, &#x27E8;10.1007/978-3-030-44584-3_10&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:tore.tuhh.de:11420/15243","is_oa":false,"landing_page_url":"http://hdl.handle.net/11420/15243","pdf_url":null,"source":{"id":"https://openalex.org/S4306401751","display_name":"tub.dok (Hamburg University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I884043246","host_organization_name":"Hamburg University of Technology","host_organization_lineage":["https://openalex.org/I884043246"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-44584-3_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_10","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W607505555","https://openalex.org/W1966026565","https://openalex.org/W2103851188","https://openalex.org/W2104094955","https://openalex.org/W2105523772","https://openalex.org/W2111362445","https://openalex.org/W2122838776","https://openalex.org/W2131953535","https://openalex.org/W2160943791","https://openalex.org/W2540093921","https://openalex.org/W2740053211","https://openalex.org/W4236362309","https://openalex.org/W6630944157"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2062195135","https://openalex.org/W4282827391","https://openalex.org/W3165580226","https://openalex.org/W2795079307","https://openalex.org/W2391251536","https://openalex.org/W2793058541","https://openalex.org/W2362198218","https://openalex.org/W4386828785","https://openalex.org/W1983629434"],"abstract_inverted_index":{"Using":[0],"transfer":[1,54],"learning":[2],"to":[3,35,82],"help":[4],"in":[5],"solving":[6],"a":[7,30,37,59,66,76,90,92,107],"new":[8,60],"classification":[9,108],"task":[10,32,112],"where":[11,25,113],"labeled":[12],"data":[13],"is":[14,16,33,71,75,87,96,119],"scarce":[15],"becoming":[17],"popular.":[18],"Numerous":[19],"experiments":[20],"with":[21,52],"deep":[22],"neural":[23,39],"networks,":[24],"the":[26,43,46,68,79,83,114],"representation":[27,95],"learned":[28],"on":[29,106],"source":[31,69,84,122],"transferred":[34],"learn":[36],"target":[38,80],"network,":[40],"have":[41],"shown":[42],"benefits":[44],"of":[45,64,94,109,116],"approach.":[47],"This":[48],"paper,":[49],"similarly,":[50],"deals":[51],"hypothesis":[53,70],"learning.":[55],"However,":[56],"it":[57],"presents":[58],"approach":[61],"where,":[62],"instead":[63],"transferring":[65],"representation,":[67],"kept":[72],"and":[73,123],"this":[74,101],"translation":[77],"from":[78],"domain":[81,85],"that":[86],"learned.":[88,97],"In":[89],"way,":[91],"change":[93],"We":[98],"show":[99],"how":[100],"method":[102],"performs":[103],"very":[104],"well":[105],"time":[110,117],"series":[111,118],"space":[115],"changed":[120],"between":[121],"target.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
