{"id":"https://openalex.org/W2918703174","doi":"https://doi.org/10.1109/tsmc.2018.2884996","title":"Hierarchical Lifelong Learning by Sharing Representations and Integrating Hypothesis","display_name":"Hierarchical Lifelong Learning by Sharing Representations and Integrating Hypothesis","publication_year":2019,"publication_date":"2019-02-27","ids":{"openalex":"https://openalex.org/W2918703174","doi":"https://doi.org/10.1109/tsmc.2018.2884996","mag":"2918703174"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2884996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2884996","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},"type":"article","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/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060608518","display_name":"Guoxi Su","orcid":"https://orcid.org/0000-0002-4389-8418"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxi Su","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108355725","display_name":"Chunmei Qing","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Qing","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007354180","display_name":"Xiangmin Xu","orcid":"https://orcid.org/0000-0003-4573-5820"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Xu","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063210263","display_name":"Bolun Cai","orcid":"https://orcid.org/0000-0002-9394-7820"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bolun Cai","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036301580","display_name":"Xiaofen Xing","orcid":"https://orcid.org/0000-0002-0016-9055"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofen Xing","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100378800"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":12.0413,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98844319,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"51","issue":"2","first_page":"1004","last_page":"1014"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9911999702453613,"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":0.9685999751091003,"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":0.6442458629608154},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.6231632232666016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5758801102638245},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.49012765288352966},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45484790205955505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4427482783794403},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34095972776412964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20848551392555237},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1851997673511505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442458629608154},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.6231632232666016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758801102638245},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.49012765288352966},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45484790205955505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4427482783794403},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34095972776412964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20848551392555237},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1851997673511505},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2018.2884996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2884996","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G2154319228","display_name":null,"funder_award_id":"61702192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2345903666","display_name":null,"funder_award_id":"U181320097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G407320794","display_name":null,"funder_award_id":"U180120050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4306649430","display_name":null,"funder_award_id":"U1636218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G653700208","display_name":null,"funder_award_id":"61751202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6741110764","display_name":null,"funder_award_id":"61702195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7934130699","display_name":null,"funder_award_id":"2017BQ059","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G936074557","display_name":null,"funder_award_id":"61572540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W35149963","https://openalex.org/W105804906","https://openalex.org/W210891286","https://openalex.org/W277886906","https://openalex.org/W1519626139","https://openalex.org/W1542791059","https://openalex.org/W1579705726","https://openalex.org/W1942758450","https://openalex.org/W1992587951","https://openalex.org/W2044684256","https://openalex.org/W2060635016","https://openalex.org/W2068431743","https://openalex.org/W2072128103","https://openalex.org/W2100495367","https://openalex.org/W2100659887","https://openalex.org/W2106008664","https://openalex.org/W2108665656","https://openalex.org/W2110798204","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2117499988","https://openalex.org/W2120501001","https://openalex.org/W2122838776","https://openalex.org/W2122922389","https://openalex.org/W2126204609","https://openalex.org/W2131479143","https://openalex.org/W2133257461","https://openalex.org/W2134270519","https://openalex.org/W2136922672","https://openalex.org/W2138857742","https://openalex.org/W2141125852","https://openalex.org/W2163386439","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2184241488","https://openalex.org/W2186054958","https://openalex.org/W2218835453","https://openalex.org/W2343835401","https://openalex.org/W2505045886","https://openalex.org/W2588135001","https://openalex.org/W2606321545","https://openalex.org/W2731789086","https://openalex.org/W2738226240","https://openalex.org/W2765965898","https://openalex.org/W2766328202","https://openalex.org/W2783774496","https://openalex.org/W2790277807","https://openalex.org/W2800777482","https://openalex.org/W2883839991","https://openalex.org/W2891832283","https://openalex.org/W2899654336","https://openalex.org/W2913340405","https://openalex.org/W3126976873","https://openalex.org/W3143107425","https://openalex.org/W4231109964","https://openalex.org/W6601472284","https://openalex.org/W6604257673","https://openalex.org/W6608508768","https://openalex.org/W6610080458","https://openalex.org/W6631089601","https://openalex.org/W6640786210","https://openalex.org/W6676004469","https://openalex.org/W6676231525","https://openalex.org/W6676481782","https://openalex.org/W6677604277","https://openalex.org/W6677850982","https://openalex.org/W6679468046","https://openalex.org/W6679718588","https://openalex.org/W6680300913","https://openalex.org/W6684191040","https://openalex.org/W6684671274","https://openalex.org/W6686056115","https://openalex.org/W6686819018","https://openalex.org/W6688328591","https://openalex.org/W6740454169"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W2364105709","https://openalex.org/W4255576661","https://openalex.org/W2053685668","https://openalex.org/W2914625303"],"abstract_inverted_index":{"In":[0,49],"lifelong":[1,62],"machine":[2],"learning":[3,63],"(LML)":[4],"systems,":[5],"consecutive":[6],"new":[7],"tasks":[8],"from":[9],"changing":[10],"circumstances":[11],"are":[12,23],"learned":[13],"and":[14,79,86,143],"added":[15],"to":[16,44,51,117],"the":[17,41,45,53,72,84,94,105],"system.":[18],"However,":[19],"sufficiently":[20],"labeled":[21,145],"data":[22,97,146],"indispensable":[24],"for":[25,102],"extracting":[26],"intertask":[27,120],"relationships":[28],"before":[29],"transferring":[30],"knowledge":[31,73,81],"in":[32,100],"classical":[33],"supervised":[34],"LML":[35,55,133],"systems.":[36],"Inadequate":[37],"labels":[38],"may":[39],"deteriorate":[40],"performance":[42],"due":[43],"poor":[46],"initial":[47],"approximation.":[48],"order":[50],"extend":[52],"typical":[54],"system,":[56],"we":[57],"propose":[58],"a":[59,112],"novel":[60],"hierarchical":[61],"algorithm":[64],"(HLLA)":[65],"consisting":[66],"of":[67,76,104],"two":[68],"following":[69],"layers:":[70],"1)":[71],"layer":[74],"consisted":[75],"shared":[77,106],"representations":[78],"integrated":[80],"basis":[82],"at":[83,93],"bottom":[85],"2)":[87],"parameterized":[88],"hypothesis":[89],"functions":[90],"with":[91,119,138],"features":[92],"top.":[95],"Unlabeled":[96],"is":[98],"leveraged":[99],"HLLA":[101,127],"pretraining":[103],"representations.":[107],"We":[108],"also":[109],"have":[110],"considered":[111],"selective":[113],"inherited":[114],"updating":[115],"method":[116,128],"deal":[118],"distribution":[121],"shifting.":[122],"Experiments":[123],"show":[124],"that":[125],"our":[126],"outperforms":[129],"many":[130],"other":[131],"recent":[132],"algorithms,":[134],"especially":[135],"when":[136],"dealing":[137],"higher":[139],"dimensional,":[140],"lower":[141],"correlation,":[142],"fewer":[144],"problems.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
