{"id":"https://openalex.org/W4385482751","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191876","title":"EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks","display_name":"EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482751","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191876"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/10191876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008809497","display_name":"Matteo Gambella","orcid":"https://orcid.org/0000-0001-9734-670X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Gambella","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.3352,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87442904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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":0.996399998664856,"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":0.7574033141136169},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6892925500869751},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6784515976905823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404972672462463},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5405269265174866},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5281895399093628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5148205161094666},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.509026050567627},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4709036350250244},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.422860711812973},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14404428005218506},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09871315956115723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574033141136169},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6892925500869751},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6784515976905823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404972672462463},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5405269265174866},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5281895399093628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5148205161094666},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.509026050567627},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4709036350250244},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.422860711812973},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14404428005218506},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09871315956115723},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1249327","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/10191876","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1249327","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/10191876","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2126105956","https://openalex.org/W2168894214","https://openalex.org/W2214802144","https://openalex.org/W2788295695","https://openalex.org/W2789876780","https://openalex.org/W2792764867","https://openalex.org/W2805003733","https://openalex.org/W2885527679","https://openalex.org/W2897392914","https://openalex.org/W2919115771","https://openalex.org/W2922073769","https://openalex.org/W2944701285","https://openalex.org/W2949941638","https://openalex.org/W2954826798","https://openalex.org/W2962677625","https://openalex.org/W2963047948","https://openalex.org/W2963821229","https://openalex.org/W2964259004","https://openalex.org/W2964341142","https://openalex.org/W2980137827","https://openalex.org/W2982479999","https://openalex.org/W2994749257","https://openalex.org/W3016208860","https://openalex.org/W3019321633","https://openalex.org/W3032945613","https://openalex.org/W3035332806","https://openalex.org/W3035903835","https://openalex.org/W3102775700","https://openalex.org/W3107599876","https://openalex.org/W3108652056","https://openalex.org/W3118608800","https://openalex.org/W3161848992","https://openalex.org/W3173854931","https://openalex.org/W3187567638","https://openalex.org/W3188991715","https://openalex.org/W4239181501","https://openalex.org/W4243928383","https://openalex.org/W4297778814","https://openalex.org/W4309374366","https://openalex.org/W4315699675","https://openalex.org/W6684665197","https://openalex.org/W6739185338","https://openalex.org/W6745728296","https://openalex.org/W6746582238","https://openalex.org/W6749825310","https://openalex.org/W6762100871","https://openalex.org/W6772236362","https://openalex.org/W6779008929"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Early":[0,163],"Exit":[1],"Neural":[2,79,166],"Networks":[3],"(EENNs)":[4],"endow":[5],"neural":[6,89],"network":[7,90],"architectures":[8,91],"with":[9,208],"auxiliary":[10],"classifiers":[11],"to":[12,28,118,190,206],"progressively":[13],"process":[14],"the":[15,24,39,42,49,58,95,98,109,124,144,154,158,171,176,180,193,196,200,214,221],"input":[16],"and":[17,35,53,67,113,128,133,179,199],"make":[18],"decisions":[19],"at":[20],"intermediate":[21],"points":[22],"of":[23,33,41,51,60,97,101,111,146,174,224],"network.":[25],"This":[26,76,150],"leads":[27],"significant":[29],"benefits":[30],"in":[31,108,120,157,188,195,220],"terms":[32],"effectiveness":[34],"efficiency":[36],"such":[37,130],"as":[38,46,48,131],"reduction":[40],"average":[43],"inference":[44],"time":[45,156],"well":[47],"mitigation":[50],"overfitting":[52],"vanishing":[54],"gradient":[55],"phenomena.":[56],"Currently,":[57],"design":[59,110,145,173],"EENNs,":[61],"which":[62],"is":[63,70,77],"a":[64,160,217],"very":[65],"complex":[66],"time-consuming":[68],"task,":[69],"carried":[71],"out":[72],"manually":[73],"by":[74,86,123],"experts.":[75],"where":[78],"Architecture":[80,167],"Search":[81,168],"(NAS)":[82],"comes":[83],"into":[84,142],"play":[85],"automatically":[87],"designing":[88],"focusing":[92],"also":[93],"on":[94],"optimization":[96],"computational":[99,201],"demand":[100],"these":[102],"networks.":[103],"These":[104],"requirements":[105],"are":[106],"crucial":[107],"machine":[112],"deep":[114],"learning":[115],"solutions":[116,139,212],"meant":[117],"operate":[119],"devices":[121],"constrained":[122],"technology":[125],"(computation,":[126],"memory,":[127],"energy)":[129],"Internet-Of-Things":[132],"embedded":[134],"systems.":[135],"Interestingly,":[136],"few":[137],"NAS":[138],"have":[140],"taken":[141],"account":[143],"early":[147,185,210],"exiting":[148],"mechanisms.":[149],"work":[151],"introduces,":[152],"for":[153,170,216],"first":[155],"literature,":[159],"framework":[161],"called":[162],"exit":[164,186,211],"aDAptive":[165],"(EDANAS)":[169],"automatic":[172],"both":[175,192],"EENN":[177],"architecture":[178],"parameters":[181],"that":[182],"manage":[183],"its":[184],"mechanism":[187],"order":[189],"optimize":[191],"accuracy":[194],"classification":[197],"tasks":[198],"demand.":[202],"EDANAS":[203],"has":[204],"proven":[205],"compete":[207],"expert-designed":[209],"paving":[213],"way":[215],"new":[218],"era":[219],"prominent":[222],"field":[223],"NAS.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
