{"id":"https://openalex.org/W2740385731","doi":"https://doi.org/10.24963/ijcai.2017/231","title":"Dynamic Multi-Task Learning with Convolutional Neural Network","display_name":"Dynamic Multi-Task Learning with Convolutional Neural Network","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740385731","doi":"https://doi.org/10.24963/ijcai.2017/231","mag":"2740385731"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/231","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/231","pdf_url":"https://www.ijcai.org/proceedings/2017/0231.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0231.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007282525","display_name":"Yuchun Fang","orcid":"https://orcid.org/0000-0002-7085-8876"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Fang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009141184","display_name":"Zhengyan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyan Ma","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028016065","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2648-3875"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoxiang Zhang","raw_affiliation_strings":["Center for Excellence in Brain Science and Intelligence Technology","National Laboratory of Pattern Recognition, Institute of Automation, CASIA","Research Center for Brain-inspired Intelligence, Institute of Automation, CASIA","University of Chinese Academy of Sciences","CAS Center for Excellence in Brain Science and Intelligence Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Excellence in Brain Science and Intelligence Technology","institution_ids":["https://openalex.org/I4210097554"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, CASIA","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Research Center for Brain-inspired Intelligence, Institute of Automation, CASIA","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology","institution_ids":["https://openalex.org/I4210097554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082548671","display_name":"Xu-Yao Zhang","orcid":"https://orcid.org/0000-0001-9260-188X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Yao Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039363991","display_name":"Xiang Bai","orcid":"https://orcid.org/0000-0002-3449-5940"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Bai","raw_affiliation_strings":["Huazhong University of Science and Technology","School of Electronic Information and Communication, Huazhong University of Science and Technology","National Laboratory of Pattern Recognition, CASIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electronic Information and Communication, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, CASIA","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028016065"],"corresponding_institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210097554","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.9134,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92915605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1668","last_page":"1674"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8783073425292969},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7523919343948364},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6481003761291504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6359612941741943},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6265087127685547},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5564023852348328},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5397238731384277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8783073425292969},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7523919343948364},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6481003761291504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359612941741943},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6265087127685547},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5564023852348328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5397238731384277},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/231","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/231","pdf_url":"https://www.ijcai.org/proceedings/2017/0231.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/231","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/231","pdf_url":"https://www.ijcai.org/proceedings/2017/0231.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5426903121","display_name":null,"funder_award_id":"61170155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7893186904","display_name":null,"funder_award_id":"61511130079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8564411035","display_name":null,"funder_award_id":"61375036","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/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740385731.pdf","grobid_xml":"https://content.openalex.org/works/W2740385731.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1834627138","https://openalex.org/W1896424170","https://openalex.org/W1941659294","https://openalex.org/W1998808035","https://openalex.org/W2033857202","https://openalex.org/W2096516049","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2103519186","https://openalex.org/W2113120414","https://openalex.org/W2145287260","https://openalex.org/W2147800946","https://openalex.org/W2156935079","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2165500456","https://openalex.org/W2169931729","https://openalex.org/W2194775991","https://openalex.org/W2209882149","https://openalex.org/W2913340405","https://openalex.org/W2963037989","https://openalex.org/W2963877604","https://openalex.org/W3099206234"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2821676139","https://openalex.org/W3043695725"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1,24],"and":[2,22],"deep":[3],"convolutional":[4],"neural":[5],"network":[6],"(CNN)":[7],"have":[8],"been":[9],"successfully":[10],"used":[11],"in":[12,25],"various":[13],"fields.":[14],"This":[15],"paper":[16],"considers":[17],"the":[18,32,102,141,153,159,163,166,172,182,191],"integration":[19],"of":[20,34,59,70,84,108,128,143,165,174],"CNN":[21,40,91,195],"multi-task":[23,39,90,194],"a":[26,48,56,88,134],"novel":[27],"way":[28],"to":[29,93,113,151],"further":[30,180],"improve":[31],"performance":[33,184],"multiple":[35,176],"related":[36,177],"tasks.":[37,130,170],"Existing":[38],"models":[41],"usually":[42,65],"empirically":[43],"combine":[44],"different":[45,156,169],"tasks":[46,71,157,178],"into":[47],"group":[49],"which":[50,75,122],"is":[51,76,123,149],"then":[52],"trained":[53],"jointly":[54],"with":[55,72],"strong":[57],"assumption":[58],"model":[60,92,99,160,196],"commonality.":[61],"Furthermore,":[62],"traditional":[63,198],"approaches":[64],"only":[66],"consider":[67],"small":[68],"number":[69],"rigid":[73],"structure,":[74,116],"not":[77],"suitable":[78],"for":[79,125,185],"large-scale":[80],"applications.":[81],"In":[82],"light":[83],"this,":[85],"we":[86,132],"propose":[87],"dynamic":[89,193],"handle":[94],"these":[95],"problems.":[96],"The":[97,146],"proposed":[98,192],"directly":[100],"learns":[101],"task":[103,110,136],"relations":[104],"from":[105],"data":[106],"instead":[107],"subjective":[109],"grouping.":[111],"Due":[112],"its":[114],"flexible":[115],"it":[117],"supports":[118],"task-wise":[119],"incremental":[120],"training,":[121],"useful":[124],"efficient":[126],"training":[127],"massive":[129],"Specifically,":[131],"add":[133],"new":[135],"transfer":[137],"connection":[138],"(TTC)":[139],"between":[140],"layers":[142],"each":[144,186],"task.":[145],"learned":[147],"TTC":[148],"able":[150],"reflect":[152],"correlation":[154],"among":[155,168],"guiding":[158],"dynamically":[161],"adjusting":[162],"multiplexing":[164],"information":[167],"With":[171],"help":[173],"TTC,":[175],"can":[179],"boost":[181],"whole":[183],"other.":[187],"Experiments":[188],"demonstrate":[189],"that":[190],"outperforms":[197],"approaches.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}