{"id":"https://openalex.org/W4389352402","doi":"https://doi.org/10.1109/access.2023.3339793","title":"Task-Aware Dynamic Model Optimization for Multi-Task Learning","display_name":"Task-Aware Dynamic Model Optimization for Multi-Task Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389352402","doi":"https://doi.org/10.1109/access.2023.3339793"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3339793","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3339793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345562.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345562.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109195450","display_name":"Sujin Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sujin Choi","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081746934","display_name":"Hyundong Jin","orcid":"https://orcid.org/0000-0001-5313-5652"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyundong Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074532898","display_name":"Eunwoo Kim","orcid":"https://orcid.org/0000-0003-0840-0044"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunwoo Kim","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109195450"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1728,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58958785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"137709","last_page":"137717"},"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":0.9997000098228455,"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":0.998199999332428,"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":0.8375012278556824},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7060572504997253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260078549385071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5594226121902466},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5337413549423218},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5313893556594849},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4985980987548828},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4917445480823517},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4548921287059784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45179226994514465},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4280816316604614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07054722309112549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8375012278556824},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7060572504997253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260078549385071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5594226121902466},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5337413549423218},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5313893556594849},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4985980987548828},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4917445480823517},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4548921287059784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45179226994514465},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4280816316604614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07054722309112549},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3339793","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3339793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345562.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb4091ec82f748788df59fd9814cd7dd","is_oa":true,"landing_page_url":"https://doaj.org/article/bb4091ec82f748788df59fd9814cd7dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 137709-137717 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3339793","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3339793","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10345562.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6399999856948853,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G4149916161","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4447557280","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4860259677","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320321202","funder_display_name":"Chung-Ang University"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7685055460","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8347568839","display_name":null,"funder_award_id":"Chung-Ang University Research Scholarship Grants i","funder_id":"https://openalex.org/F4320321202","funder_display_name":"Chung-Ang University"}],"funders":[{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389352402.pdf","grobid_xml":"https://content.openalex.org/works/W4389352402.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1846799578","https://openalex.org/W2007339694","https://openalex.org/W2047643928","https://openalex.org/W2067713319","https://openalex.org/W2076092592","https://openalex.org/W2100659887","https://openalex.org/W2117539524","https://openalex.org/W2154740476","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2251324968","https://openalex.org/W2462996230","https://openalex.org/W2533598788","https://openalex.org/W2766839578","https://openalex.org/W2796394093","https://openalex.org/W2805003733","https://openalex.org/W2895387432","https://openalex.org/W2963430933","https://openalex.org/W2963498646","https://openalex.org/W2963677766","https://openalex.org/W2963765995","https://openalex.org/W2963877604","https://openalex.org/W2964015378","https://openalex.org/W2964247799","https://openalex.org/W2966182616","https://openalex.org/W2982303846","https://openalex.org/W2984039063","https://openalex.org/W2998103904","https://openalex.org/W3118608800","https://openalex.org/W4206599777","https://openalex.org/W4226051636","https://openalex.org/W4239943352","https://openalex.org/W4312354469","https://openalex.org/W4312375205","https://openalex.org/W4385841113","https://openalex.org/W6600983433","https://openalex.org/W6638677478","https://openalex.org/W6703116779","https://openalex.org/W6726873649","https://openalex.org/W6738045163","https://openalex.org/W6745499037","https://openalex.org/W6745682157","https://openalex.org/W6745995898","https://openalex.org/W6751979845","https://openalex.org/W6761472960","https://openalex.org/W6766978945","https://openalex.org/W6787972765","https://openalex.org/W6800899058","https://openalex.org/W6810525401"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W2951720331"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1],"(MTL)":[2],"is":[3],"a":[4,8,88,142],"field":[5],"in":[6],"which":[7],"deep":[9],"neural":[10],"network":[11,27,38,66,98,193],"simultaneously":[12],"learns":[13],"knowledge":[14],"from":[15],"multiple":[16],"tasks.":[17],"However,":[18],"achieving":[19],"resource-efficient":[20],"MTL":[21,175,197],"remains":[22],"challenging":[23],"due":[24,63],"to":[25,60,64,100,162,174],"entangled":[26,65],"parameters":[28,67,73,99,155,194],"across":[29,50,135],"tasks":[30,52,136],"and":[31,68,116,121,132,137,154],"varying":[32],"task-specific":[33,104],"complexity.":[34,56,105],"Existing":[35],"methods":[36],"employ":[37],"compression":[39],"techniques":[40],"while":[41,190],"maintaining":[42],"comparable":[43],"performance,":[44],"but":[45],"they":[46],"often":[47],"compress":[48],"uniformly":[49],"all":[51],"without":[53],"considering":[54],"individual":[55],"This":[57,106,124],"can":[58],"lead":[59],"suboptimal":[61],"solutions":[62],"memory":[69],"inefficiency,":[70],"as":[71,141],"the":[72,127,171,184],"for":[74],"each":[75],"task":[76,114,117,145,163],"may":[77],"be":[78],"insufficient":[79],"or":[80],"excessive.":[81],"To":[82],"address":[83],"these":[84],"challenges,":[85],"we":[86],"propose":[87],"framework":[89,107,173],"called":[90],"Dynamic":[91],"Model":[92],"Optimization":[93],"(DMO)":[94],"that":[95,183],"dynamically":[96],"allocates":[97],"groups":[101],"based":[102,150],"on":[103,151],"consists":[108],"of":[109,129,144],"three":[110],"key":[111],"steps:":[112],"measuring":[113],"similarity":[115],"difficulty,":[118],"grouping":[119],"tasks,":[120],"allocating":[122],"parameters.":[123],"process":[125],"involves":[126],"calculation":[128],"both":[130],"weight":[131],"loss":[133,140],"similarities":[134],"employs":[138],"sample-wise":[139],"measure":[143],"difficulty.":[146],"Tasks":[147],"are":[148,156],"grouped":[149],"their":[152,166],"similarities,":[153],"allocated":[157],"with":[158,176],"dynamic":[159],"pruning":[160],"according":[161],"difficulty":[164],"within":[165],"respective":[167],"groups.":[168],"We":[169],"apply":[170],"proposed":[172,185],"various":[177],"classification":[178],"datasets.":[179],"Experimental":[180],"results":[181],"demonstrate":[182],"approach":[186],"achieves":[187],"high":[188],"performance":[189],"taking":[191],"fewer":[192],"than":[195],"other":[196],"methods.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}