{"id":"https://openalex.org/W4200068931","doi":"https://doi.org/10.1109/ictc52510.2021.9620797","title":"A Compact Neural Architecture Search for Accelerating Image Classification Models","display_name":"A Compact Neural Architecture Search for Accelerating Image Classification Models","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W4200068931","doi":"https://doi.org/10.1109/ictc52510.2021.9620797"},"language":"en","primary_location":{"id":"doi:10.1109/ictc52510.2021.9620797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc52510.2021.9620797","pdf_url":null,"source":{"id":"https://openalex.org/S4363607766","display_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5077729395","display_name":"Tuan Manh Tao","orcid":"https://orcid.org/0009-0007-8317-2113"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tuan Manh Tao","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540043","display_name":"Heejae Kim","orcid":"https://orcid.org/0000-0002-9743-378X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heejae Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045403869","display_name":"Chan\u2010Hyun Youn","orcid":"https://orcid.org/0000-0002-3970-7308"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-Hyun Youn","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077729395"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3699757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"1713","last_page":"1718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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":0.9987999796867371,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9965000152587891,"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":0.7864949107170105},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6333495378494263},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6149135231971741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5761621594429016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.52293860912323},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5152190327644348},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4953845739364624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47550541162490845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4722301959991455},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4233064651489258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3213038146495819},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18178901076316833},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08747661113739014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864949107170105},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6333495378494263},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6149135231971741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5761621594429016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.52293860912323},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5152190327644348},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4953845739364624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47550541162490845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4722301959991455},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4233064651489258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3213038146495819},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18178901076316833},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08747661113739014},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc52510.2021.9620797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc52510.2021.9620797","pdf_url":null,"source":{"id":"https://openalex.org/S4363607766","display_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2553303224","https://openalex.org/W2752782242","https://openalex.org/W2911884654","https://openalex.org/W2940616741","https://openalex.org/W2948818729","https://openalex.org/W2951104886","https://openalex.org/W2964081807","https://openalex.org/W2981748264","https://openalex.org/W2989221291","https://openalex.org/W3107106605","https://openalex.org/W3118608800","https://openalex.org/W6729956949","https://openalex.org/W6752515464","https://openalex.org/W6763233178"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2588198209","https://openalex.org/W4321636575","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W1909006023","https://openalex.org/W2741131631","https://openalex.org/W1986418932","https://openalex.org/W4205824991","https://openalex.org/W2156919374"],"abstract_inverted_index":{"Nowadays,":[0],"Automated":[1],"Machine":[2],"Learning":[3],"(AutoML)":[4],"has":[5,34,55],"gradually":[6],"become":[7],"an":[8,70],"inevitable":[9],"trend":[10],"providing":[11],"automatic":[12],"and":[13],"suitable":[14],"solutions":[15],"to":[16,101,132],"address":[17],"AI":[18],"tasks":[19],"without":[20],"needing":[21],"more":[22,99],"efforts":[23],"from":[24,82],"experts.":[25],"Neural":[26],"Architecture":[27],"Search":[28],"(NAS),":[29],"a":[30],"subfield":[31],"of":[32,110,118],"AutoML,":[33],"generated":[35],"automated":[36],"models":[37],"solving":[38],"fundamental":[39],"problems":[40],"in":[41,89,113],"computer":[42],"vision":[43],"such":[44],"as":[45],"image":[46],"recognition,":[47],"objects":[48],"detection.":[49],"NAS":[50,97,139],"with":[51,86,147],"differentiable":[52],"search":[53,76,94,111],"strategies":[54],"reduced":[56],"significantly":[57],"the":[58,83,108,137,148],"GPU":[59],"time":[60,115,129],"that":[61,73],"occupancy":[62],"on":[63],"calculation.":[64],"In":[65,135],"this":[66],"paper,":[67],"we":[68],"present":[69],"effective":[71],"algorithm":[72],"allows":[74],"expanding":[75],"spaces":[77,112],"by":[78,106],"selecting":[79],"operation":[80],"candidates":[81],"initial":[84],"set":[85],"different":[87],"ways":[88],"concurrent":[90],"execution.":[91],"The":[92],"extended":[93],"space":[95],"makes":[96],"having":[98,144],"opportunities":[100],"find":[102],"good":[103],"architectures":[104,143],"simultaneously":[105],"running":[107],"group":[109],"overlapping":[114],"periods":[116],"instead":[117],"sequentially.":[119],"Our":[120],"approach,":[121],"is":[122],"called":[123],"Accelerated":[124,138],"NAS,":[125],"shortens":[126],"1.8x":[127],"searching":[128],"when":[130],"comparing":[131],"previous":[133],"works.":[134],"addition,":[136],"generates":[140],"potential":[141],"neural":[142],"comparable":[145],"performances":[146],"low":[149],"inference":[150],"time.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
