{"id":"https://openalex.org/W4383176677","doi":"https://doi.org/10.48550/arxiv.2307.00960","title":"Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search","display_name":"Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4383176677","doi":"https://doi.org/10.48550/arxiv.2307.00960"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2307.00960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.00960","pdf_url":"https://arxiv.org/pdf/2307.00960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.00960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008710580","display_name":"Simone Sarti","orcid":"https://orcid.org/0000-0001-5791-8793"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sarti, Simone","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075234227","display_name":"Eugenio Lomurno","orcid":"https://orcid.org/0000-0003-4007-3207"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lomurno, Eugenio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003932703","display_name":"Matteo Matteucci","orcid":"https://orcid.org/0000-0002-8306-6739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matteucci, Matteo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008710580"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.993399977684021,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.993399977684021,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9933000206947327,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9869999885559082,"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":0.7455172538757324},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6774537563323975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6584477424621582},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6038601994514465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5825232863426208},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5050452351570129},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.48213621973991394},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46830666065216064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4677318036556244},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4217662513256073},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4170386791229248},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39052078127861023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1508200466632843},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13994377851486206},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09348425269126892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455172538757324},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6774537563323975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6584477424621582},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6038601994514465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5825232863426208},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5050452351570129},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.48213621973991394},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46830666065216064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4677318036556244},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4217662513256073},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4170386791229248},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39052078127861023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1508200466632843},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13994377851486206},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09348425269126892},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2307.00960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.00960","pdf_url":"https://arxiv.org/pdf/2307.00960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:re.public.polimi.it:11311/1269646","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1269646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2307.00960","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.00960","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.00960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.00960","pdf_url":"https://arxiv.org/pdf/2307.00960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G39665228","display_name":null,"funder_award_id":"101016577","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G82362254","display_name":null,"funder_award_id":"101016577","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383176677.pdf","grobid_xml":"https://content.openalex.org/works/W4383176677.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W2734796617","https://openalex.org/W3083218341","https://openalex.org/W2102405864","https://openalex.org/W3034087822","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"is":[2,51,175,186],"increasingly":[3],"impacting":[4],"various":[5],"aspects":[6],"of":[7,24,28,39,96,113,127,197],"contemporary":[8],"society.":[9],"Artificial":[10],"neural":[11],"networks":[12,165],"have":[13,70],"emerged":[14],"as":[15],"the":[16,36,48,83,111,144,149],"dominant":[17],"models":[18],"for":[19,85,159,189],"solving":[20],"an":[21,125],"expanding":[22],"range":[23],"tasks.":[25],"The":[26],"introduction":[27],"Neural":[29,103],"Architecture":[30,104],"Search":[31],"(NAS)":[32],"techniques,":[33],"which":[34],"enable":[35],"automatic":[37],"design":[38],"task-optimal":[40],"networks,":[41],"has":[42],"led":[43],"to":[44,73,89,109,135],"remarkable":[45],"advances.":[46],"However,":[47],"NAS":[49],"process":[50],"typically":[52],"associated":[53],"with":[54,193],"long":[55],"execution":[56],"times":[57],"and":[58,65,81,155,162,185],"significant":[59],"computational":[60],"resource":[61],"requirements.":[62],"Once-For-All":[63],"(OFA)":[64],"its":[66,164],"successor,":[67],"Once-For-All-2":[68],"(OFAv2),":[69],"been":[71],"developed":[72,108],"mitigate":[74],"these":[75],"challenges.":[76],"While":[77],"maintaining":[78],"exceptional":[79],"performance":[80],"eliminating":[82],"need":[84],"retraining,":[86],"they":[87],"aim":[88],"build":[90],"a":[91,117,169,194],"single":[92],"super-network":[93,137],"model":[94],"capable":[95],"directly":[97],"extracting":[98,114],"sub-networks":[99,115,146],"satisfying":[100],"different":[101],"constraints.":[102],"Transfer":[105],"(NAT)":[106],"was":[107],"maximise":[110],"effectiveness":[112],"from":[116],"super-network.":[118],"In":[119,167],"this":[120],"paper,":[121],"we":[122],"present":[123],"NATv2,":[124],"extension":[126],"NAT":[128,184],"that":[129,180],"improves":[130,183],"multi-objective":[131],"search":[132],"algorithms":[133],"applied":[134],"dynamic":[136],"architectures.":[138],"NATv2":[139,181],"achieves":[140],"qualitative":[141],"improvements":[142],"in":[143],"extractable":[145],"by":[147,153],"exploiting":[148],"improved":[150],"super-networks":[151],"generated":[152],"OFAv2":[154],"incorporating":[156],"new":[157],"policies":[158],"initialisation,":[160],"pre-processing":[161],"updating":[163],"archive.":[166],"addition,":[168],"post-processing":[170],"pipeline":[171],"based":[172],"on":[173],"fine-tuning":[174],"introduced.":[176],"Experimental":[177],"results":[178],"show":[179],"successfully":[182],"highly":[187],"recommended":[188],"investigating":[190],"high-performance":[191],"architectures":[192],"minimal":[195],"number":[196],"parameters.":[198]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
