{"id":"https://openalex.org/W3156784825","doi":"https://doi.org/10.1109/tnnls.2021.3070605","title":"Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition","display_name":"Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition","publication_year":2021,"publication_date":"2021-04-28","ids":{"openalex":"https://openalex.org/W3156784825","doi":"https://doi.org/10.1109/tnnls.2021.3070605","mag":"3156784825","pmid":"https://pubmed.ncbi.nlm.nih.gov/33872158"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3070605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070605","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052611320","display_name":"Guangrun Wang","orcid":"https://orcid.org/0000-0001-7760-1339"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrun Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7760-1339","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","DarkMatter AI Research, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"DarkMatter AI Research, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017515232","display_name":"Rongcong Chen","orcid":"https://orcid.org/0000-0003-1498-0057"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongcong Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1498-0057","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028380963","display_name":"Guangcong Wang","orcid":"https://orcid.org/0000-0002-6627-814X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6627-814X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078844872","display_name":"Jiqi Zhang","orcid":"https://orcid.org/0000-0002-8494-6797"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqi Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8494-6797","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.5013,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85159827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"33","issue":"10","first_page":"5401","last_page":"5415"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.8054065704345703},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7764347791671753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214473247528076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5656797289848328},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.551780104637146},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5376706123352051},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5067458748817444},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5019059181213379},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5017213821411133},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4879991114139557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.477062851190567},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4498271048069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42454665899276733},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4231272339820862},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.41852864623069763},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3008434772491455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08158233761787415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054065704345703},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7764347791671753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214473247528076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5656797289848328},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.551780104637146},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5376706123352051},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5067458748817444},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5019059181213379},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5017213821411133},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4879991114139557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.477062851190567},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4498271048069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42454665899276733},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4231272339820862},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.41852864623069763},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3008434772491455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08158233761787415},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3070605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070605","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33872158","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33872158","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G1295000622","display_name":null,"funder_award_id":"61836012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4031430178","display_name":null,"funder_award_id":"61876045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4150015903","display_name":null,"funder_award_id":"2018YFC0830103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1518138188","https://openalex.org/W1547224907","https://openalex.org/W1834627138","https://openalex.org/W1905153633","https://openalex.org/W1965804146","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2025768430","https://openalex.org/W2050398567","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2412782625","https://openalex.org/W2512563520","https://openalex.org/W2550213996","https://openalex.org/W2552639984","https://openalex.org/W2585635281","https://openalex.org/W2604211872","https://openalex.org/W2752782242","https://openalex.org/W2915992092","https://openalex.org/W2954765307","https://openalex.org/W2962739339","https://openalex.org/W2962847160","https://openalex.org/W2963049565","https://openalex.org/W2963136578","https://openalex.org/W2963420272","https://openalex.org/W2963438548","https://openalex.org/W2963446712","https://openalex.org/W2963801817","https://openalex.org/W2963821229","https://openalex.org/W2963842104","https://openalex.org/W2964130064","https://openalex.org/W2964137095","https://openalex.org/W2964140013","https://openalex.org/W2964163358","https://openalex.org/W2964304299","https://openalex.org/W2965328380","https://openalex.org/W2965658867","https://openalex.org/W2977853649","https://openalex.org/W2979938149","https://openalex.org/W2980073905","https://openalex.org/W2981393440","https://openalex.org/W2981420411","https://openalex.org/W2981720610","https://openalex.org/W2984145721","https://openalex.org/W2986093954","https://openalex.org/W2988964414","https://openalex.org/W2998508940","https://openalex.org/W3034528892","https://openalex.org/W3034580371","https://openalex.org/W3034727830","https://openalex.org/W3034971973","https://openalex.org/W3035524453","https://openalex.org/W3035569526","https://openalex.org/W3035658156","https://openalex.org/W3096285474","https://openalex.org/W3096533519","https://openalex.org/W3115484111","https://openalex.org/W3130853975","https://openalex.org/W3130896388","https://openalex.org/W4250482878","https://openalex.org/W6620707391","https://openalex.org/W6632924624","https://openalex.org/W6637373629","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6735531217","https://openalex.org/W6743495212","https://openalex.org/W6748057086","https://openalex.org/W6751979845","https://openalex.org/W6752515464","https://openalex.org/W6754259177","https://openalex.org/W6756285791","https://openalex.org/W6756887525","https://openalex.org/W6756944905","https://openalex.org/W6757204547","https://openalex.org/W6759402996","https://openalex.org/W6760796423","https://openalex.org/W6762718338","https://openalex.org/W6763591946","https://openalex.org/W6765297142","https://openalex.org/W6767064347","https://openalex.org/W6770407792","https://openalex.org/W6771127686","https://openalex.org/W6774314701","https://openalex.org/W6774670964","https://openalex.org/W6779326418","https://openalex.org/W6784468880"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2026999166","https://openalex.org/W1996802783","https://openalex.org/W2509431957","https://openalex.org/W4211007821","https://openalex.org/W2802395037","https://openalex.org/W4389565704","https://openalex.org/W1976216854","https://openalex.org/W3207031006"],"abstract_inverted_index":{"Current":[0],"state-of-the-art":[1],"visual":[2],"recognition":[3,77,132,227,241],"systems":[4],"usually":[5],"rely":[6],"on":[7,16,29,58,237],"the":[8,26,40,48,129,137,141,161,170,176,198,209,213,258],"following":[9],"pipeline:":[10],"1)":[11],"pretraining":[12],"a":[13,17,30,36,59,63,75],"neural":[14,202,234],"network":[15,27,49,100,110,214],"large-scale":[18],"data":[19,33],"set":[20],"(e.g.,":[21],"ImageNet)":[22],"and":[23,92,125,165,187,216,253],"2)":[24],"finetuning":[25,120],"weights":[28,138,217],"smaller,":[31],"task-specific":[32],"set.":[34],"Such":[35],"pipeline":[37,133],"assumes":[38],"that":[39,62,107,134,207],"sole":[41],"weight":[42,119],"adaptation":[43],"is":[44,66,218],"able":[45],"to":[46,54,97,128,149,190],"transfer":[47],"capability":[50],"from":[51],"one":[52],"domain":[53,56,73,115,163,255],"another":[55],"based":[57],"strong":[60],"assumption":[61],"fixed":[64],"architecture":[65,203,215],"appropriate":[67],"for":[68,113,232],"all":[69],"domains.":[70],"However,":[71],"each":[72,114],"with":[74,118,157],"distinct":[76],"target":[78],"may":[79,89],"need":[80],"different":[81],"levels/paths":[82],"of":[83,140,179,200,212,219,260],"feature":[84],"hierarchy,":[85],"where":[86],"some":[87,93],"neurons":[88],"become":[90],"redundant,":[91],"others":[94],"are":[95],"reactivated":[96],"form":[98],"new":[99],"structures.":[101],"In":[102],"this":[103],"work,":[104],"we":[105,183],"prove":[106],"dynamically":[108],"adapting":[109],"architectures":[111],"tailored":[112],"task":[116],"along":[117],"benefits":[121,225],"in":[122,160,169],"both":[123],"efficiency":[124,178],"effectiveness,":[126],"compared":[127],"existing":[130,201],"image":[131,226,240,251],"only":[135,224],"tunes":[136],"regardless":[139],"architecture.":[142],"Our":[143],"method":[144],"can":[145],"be":[146],"easily":[147],"generalized":[148],"an":[150],"unsupervised":[151,254],"paradigm":[152],"by":[153,196],"replacing":[154],"supernet":[155],"training":[156],"self-supervised":[158],"learning":[159],"source":[162],"tasks":[164],"performing":[166],"linear":[167],"evaluation":[168],"downstream":[171],"tasks.":[172],"This":[173,221],"further":[174],"improves":[175],"search":[177],"our":[180,193,261],"method.":[181,262],"Moreover,":[182],"also":[184,229],"provide":[185],"principled":[186],"empirical":[188],"analysis":[189,222],"explain":[191],"why":[192],"approach":[194],"works":[195],"investigating":[197],"ineffectiveness":[199],"search.":[204],"We":[205],"find":[206],"preserving":[208],"joint":[210],"distribution":[211],"importance.":[220],"not":[223],"but":[228],"provides":[230],"insights":[231],"crafting":[233],"networks.":[235],"Experiments":[236],"five":[238],"representative":[239],"tasks,":[242],"such":[243],"as":[244],"person":[245],"re-identification,":[246],"age":[247],"estimation,":[248],"gender":[249],"recognition,":[250],"classification,":[252],"adaptation,":[256],"demonstrate":[257],"effectiveness":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
