{"id":"https://openalex.org/W156260471","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-392","title":"Source-Selection-Free Transfer Learning","display_name":"Source-Selection-Free Transfer Learning","publication_year":2012,"publication_date":"2012-05-08","ids":{"openalex":"https://openalex.org/W156260471","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-392","mag":"156260471"},"language":"en","primary_location":{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-64755","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-64755","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference paper"},"type":"article","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/A5059591440","display_name":"Evan Wei Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Evan Wei Xiang","raw_affiliation_strings":["[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082984558","display_name":"Sinno Jialin Pan","orcid":"https://orcid.org/0000-0001-6565-3836"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sinno Jialin Pan","raw_affiliation_strings":["[Institute for Infocomm Research, Connexis, Singapore]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Institute for Infocomm Research, Connexis, Singapore]","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073490832","display_name":"Weike Pan","orcid":"https://orcid.org/0000-0001-6326-9531"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weike Pan","raw_affiliation_strings":["[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860993","display_name":"Jian Su","orcid":"https://orcid.org/0009-0001-9484-5885"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jian Su","raw_affiliation_strings":["[Institute for Infocomm Research, Connexis, Singapore]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Institute for Infocomm Research, Connexis, Singapore]","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059591440"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.7688,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85755521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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":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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.8391345739364624},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7597630023956299},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5262429118156433},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4839620888233185},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47291526198387146},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44149404764175415},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.42916885018348694},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"Negative transfer","score":0.4221228361129761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.416239470243454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4160364866256714},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.18615978956222534},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09189927577972412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8391345739364624},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7597630023956299},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5262429118156433},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4839620888233185},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47291526198387146},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44149404764175415},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.42916885018348694},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.4221228361129761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.416239470243454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4160364866256714},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.18615978956222534},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09189927577972412},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-64755","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-64755","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.224.1558","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.1558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ust.hk/%7Eweikep/papers/IJCAI-11-SSFTL.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1546319741","https://openalex.org/W1578099820","https://openalex.org/W2027570514","https://openalex.org/W2062179223","https://openalex.org/W2069057437","https://openalex.org/W2097308346","https://openalex.org/W2136920242","https://openalex.org/W2146753383","https://openalex.org/W2153353890","https://openalex.org/W2155144632","https://openalex.org/W2155540986","https://openalex.org/W2158830116","https://openalex.org/W2163828439","https://openalex.org/W2165698076","https://openalex.org/W2165744911","https://openalex.org/W2171836785","https://openalex.org/W2276230513"],"related_works":["https://openalex.org/W2165698076","https://openalex.org/W2113536712","https://openalex.org/W2579291683","https://openalex.org/W2612407026","https://openalex.org/W2045114813","https://openalex.org/W2075728230","https://openalex.org/W3142331879","https://openalex.org/W2400712033","https://openalex.org/W771696305","https://openalex.org/W2851948290","https://openalex.org/W2782551225","https://openalex.org/W2767132810","https://openalex.org/W2740065698","https://openalex.org/W1992000819","https://openalex.org/W2583753983","https://openalex.org/W2949362042","https://openalex.org/W3101469547","https://openalex.org/W2341047870","https://openalex.org/W2067566391","https://openalex.org/W2951920880"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,20,24,78,84,110,134,214],"addresses":[2],"the":[3,37,43,60,90,99,125,146,156,179,184,223,235,243],"problems":[4],"that":[5],"labeled":[6],"training":[7,236],"data":[8,46,105,131,187],"are":[9,217],"insufficient":[10],"to":[11,27,41,47,86,92,114,219,222,238],"produce":[12],"a":[13,18,75,162,169,172,200],"high-performance":[14],"model.":[15],"Typically,":[16],"given":[17,168],"target":[19,104,170,185],"task,":[21,171],"most":[22],"transfer":[23,51,63,77,83,109,133,213],"approaches":[25],"require":[26],"select":[28,42,93],"one":[29,70],"or":[30,124],"more":[31],"auxiliary":[32],"tasks":[33],"as":[34,81,107,120,199],"sources":[35,118],"by":[36],"designers.":[38],"However,":[39],"how":[40],"right":[44],"source":[45,94,102,130,181],"enable":[48],"effective":[49],"knowledge":[50],"automatically":[52],"is":[53,174,208,227],"still":[54],"an":[55],"unsolved":[56],"problem,":[57],"which":[58,216],"limits":[59],"applicability":[61],"of":[62,97,165,178,206,234,247],"learning.":[64],"In":[65],"this":[66,140],"paper,":[67],"we":[68,160],"take":[69],"step":[71],"ahead":[72],"and":[73,103,183,230,245],"propose":[74],"novel":[76],"framework,":[79],"known":[80],"source-selection-free":[82],"(SSFTL),":[85],"free":[87],"users":[88,100,147],"from":[89],"need":[91],"domains.":[95],"Instead":[96],"asking":[98],"for":[101,127,132,176],"pairs,":[106],"traditional":[108],"does,":[111],"SS-FTL":[112,248],"turns":[113],"some":[115,191],"online":[116,142,157,193],"information":[117,143,158],"such":[119],"World":[121],"Wide":[122],"Web":[123,224],"Wikipedia":[126],"help.":[128],"The":[129],"can":[135,231],"be":[136],"hidden":[137],"somewhere":[138],"within":[139],"large":[141,163,192],"source,":[144],"but":[145],"do":[148],"not":[149],"know":[150],"where":[151],"they":[152],"are.":[153],"Based":[154],"on":[155,252],"sources,":[159],"train":[161],"number":[164],"classifiers.":[166],"Then,":[167],"bridge":[173],"built":[175],"labels":[177],"potential":[180],"candidates":[182],"domain":[186],"in":[188,256],"SSFTL":[189,207,226],"via":[190],"social":[194],"media":[195],"with":[196],"tag":[197],"cloud":[198],"label":[201],"translator.":[202],"An":[203],"added":[204],"advantage":[205],"that,":[209],"unlike":[210],"many":[211],"previous":[212],"approaches,":[215],"difficult":[218],"scale":[220],"up":[221],"scale,":[225],"highly":[228],"scalable":[229],"offset":[232],"much":[233],"work":[237],"offline":[239],"stage.":[240],"We":[241],"demonstrate":[242],"effectiveness":[244],"efficiency":[246],"through":[249],"extensive":[250],"experiments":[251],"several":[253],"realworld":[254],"datasets":[255],"text":[257],"classification.":[258],"1":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-27T00:00:00"}