{"id":"https://openalex.org/W3090175237","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207593","title":"Efficient Search for the Number of Channels for Convolutional Neural Networks","display_name":"Efficient Search for the Number of Channels for Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090175237","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207593","mag":"3090175237"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101774156","display_name":"Hui Zhu","orcid":"https://orcid.org/0000-0002-0056-3220"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055016576","display_name":"Zhulin An","orcid":"https://orcid.org/0000-0002-7593-8293"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin An","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046293929","display_name":"Chuanguang Yang","orcid":"https://orcid.org/0000-0001-5890-289X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanguang Yang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039539402","display_name":"Xiaolong Hu","orcid":"https://orcid.org/0000-0003-2173-9229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Hu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000168148","display_name":"Kaiqiang Xu","orcid":"https://orcid.org/0000-0001-6124-6328"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqiang Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.996999979019165,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9945999979972839,"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/flops","display_name":"FLOPS","score":0.8644084930419922},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8405059576034546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8001120090484619},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5923407673835754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5187178254127502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4766139090061188},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45816144347190857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.334431529045105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32175153493881226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32118985056877136},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17103469371795654}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.8644084930419922},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8405059576034546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001120090484619},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5923407673835754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5187178254127502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4766139090061188},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45816144347190857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334431529045105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32175153493881226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32118985056877136},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17103469371795654},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1568834902","https://openalex.org/W1686810756","https://openalex.org/W2095705004","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2553303224","https://openalex.org/W2746314669","https://openalex.org/W2752782242","https://openalex.org/W2773706593","https://openalex.org/W2788853733","https://openalex.org/W2808168148","https://openalex.org/W2810075754","https://openalex.org/W2888429796","https://openalex.org/W2913732044","https://openalex.org/W2951104886","https://openalex.org/W2955425717","https://openalex.org/W2962746461","https://openalex.org/W2962750597","https://openalex.org/W2962835968","https://openalex.org/W2962971773","https://openalex.org/W2963163009","https://openalex.org/W2963263347","https://openalex.org/W2963374479","https://openalex.org/W2963420686","https://openalex.org/W2963536136","https://openalex.org/W2963628712","https://openalex.org/W2963778169","https://openalex.org/W2963821229","https://openalex.org/W2964081807","https://openalex.org/W2964137095","https://openalex.org/W2964266063","https://openalex.org/W2965658867","https://openalex.org/W2981708954","https://openalex.org/W2997471409","https://openalex.org/W3035223629","https://openalex.org/W4300687381","https://openalex.org/W6633992998","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6685444988","https://openalex.org/W6726497184","https://openalex.org/W6729956949","https://openalex.org/W6743428213","https://openalex.org/W6745614327","https://openalex.org/W6746582238","https://openalex.org/W6746693648","https://openalex.org/W6747806236","https://openalex.org/W6748057086","https://openalex.org/W6748587240","https://openalex.org/W6752515464","https://openalex.org/W6753701838","https://openalex.org/W6759402224","https://openalex.org/W6762718338","https://openalex.org/W6764800349","https://openalex.org/W6766877868"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W3205506801","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W4382323155","https://openalex.org/W3005814217","https://openalex.org/W2798769807","https://openalex.org/W3036852732"],"abstract_inverted_index":{"Latest":[0],"algorithms":[1],"for":[2,20,36,69],"automatic":[3,38],"neural":[4,22,53,73],"architecture":[5],"search":[6,39,59],"perform":[7],"remarkably":[8],"but":[9],"few":[10],"of":[11,18,46,49,67,80,86,109,112,132],"them":[12],"can":[13,104],"effectively":[14],"design":[15],"the":[16,44,50,65,78,84,110,116],"number":[17,66,79,131],"channels":[19,68],"convolutional":[21,72],"networks":[23,47,113],"and":[24,82,91,123],"consume":[25],"less":[26],"computational":[27,98],"efforts.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"a":[34],"method":[35,95],"efficient":[37],"which":[40],"is":[41],"special":[42],"to":[43,114],"widths":[45,111],"instead":[48],"connections":[51],"within":[52],"architectures.":[54],"Our":[55],"method,":[56],"functionally":[57],"incremental":[58],"based":[60],"on":[61,121,127],"function-preserving,":[62],"will":[63],"explore":[64],"almost":[70],"any":[71],"network":[74],"rapidly":[75],"while":[76],"controlling":[77],"parameters":[81],"even":[83],"amount":[85],"computations":[87],"(FLOPs).":[88],"On":[89],"CIFAR-10":[90,122],"CIFAR-100":[92],"classification,":[93],"our":[94],"using":[96],"minimal":[97],"resources":[99],"(0.41":[100],"~":[101,119,125],"1.29":[102],"GPU-days)":[103],"discover":[105],"more":[106],"effective":[107],"rules":[108],"improve":[115],"accuracy":[117],"(a":[118],"1.08":[120],"b":[124],"2.33":[126],"CIFAR-100)":[128],"with":[129],"fewer":[130],"parameters.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
