{"id":"https://openalex.org/W4213439605","doi":"https://doi.org/10.1109/tpami.2022.3153065","title":"Cyclic Differentiable Architecture Search","display_name":"Cyclic Differentiable Architecture Search","publication_year":2022,"publication_date":"2022-02-23","ids":{"openalex":"https://openalex.org/W4213439605","doi":"https://doi.org/10.1109/tpami.2022.3153065","pmid":"https://pubmed.ncbi.nlm.nih.gov/35196225"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3153065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3153065","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5012769835","display_name":"Hongyuan Yu","orcid":"https://orcid.org/0000-0003-4208-1200"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"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":true,"raw_author_name":"Hongyuan Yu","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080495327","display_name":"Houwen Peng","orcid":"https://orcid.org/0000-0001-8544-8952"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houwen Peng","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550628","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-8239-7229"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"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":"Yan Huang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072029041","display_name":"Jianlong Fu","orcid":"https://orcid.org/0000-0002-1025-2012"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Fu","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101812640","display_name":"Hao Du","orcid":"https://orcid.org/0000-0003-1330-4532"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hao Du","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"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":"Liang Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), AI School, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012769835"],"corresponding_institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":4.492,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95774957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"45","issue":"1","first_page":"211","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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":0.8071873784065247},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.6425820589065552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5616059899330139},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5392083525657654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4372403025627136},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.42939993739128113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38737255334854126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10056450963020325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071873784065247},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.6425820589065552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5616059899330139},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5392083525657654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4372403025627136},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.42939993739128113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38737255334854126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10056450963020325},{"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/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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3153065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3153065","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35196225","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35196225","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5273665290","display_name":null,"funder_award_id":"Z201100006820079","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G6431871145","display_name":null,"funder_award_id":"61721004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7145271284","display_name":null,"funder_award_id":"61976132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":205,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1568165162","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1994616650","https://openalex.org/W2097117768","https://openalex.org/W2097998348","https://openalex.org/W2117539524","https://openalex.org/W2119717200","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2408279554","https://openalex.org/W2418011751","https://openalex.org/W2464772092","https://openalex.org/W2534788641","https://openalex.org/W2549139847","https://openalex.org/W2553303224","https://openalex.org/W2560023338","https://openalex.org/W2622263826","https://openalex.org/W2626225338","https://openalex.org/W2737258237","https://openalex.org/W2741430497","https://openalex.org/W2746314669","https://openalex.org/W2748513770","https://openalex.org/W2752782242","https://openalex.org/W2765407302","https://openalex.org/W2774833978","https://openalex.org/W2788853733","https://openalex.org/W2796265726","https://openalex.org/W2804743778","https://openalex.org/W2808938483","https://openalex.org/W2883780447","https://openalex.org/W2885311373","https://openalex.org/W2885820039","https://openalex.org/W2888429796","https://openalex.org/W2915992092","https://openalex.org/W2930296751","https://openalex.org/W2943530662","https://openalex.org/W2948818729","https://openalex.org/W2949736877","https://openalex.org/W2951104886","https://openalex.org/W2951245151","https://openalex.org/W2955425717","https://openalex.org/W2960010704","https://openalex.org/W2961666066","https://openalex.org/W2962697884","https://openalex.org/W2962746461","https://openalex.org/W2962847160","https://openalex.org/W2962919941","https://openalex.org/W2963037463","https://openalex.org/W2963125010","https://openalex.org/W2963136578","https://openalex.org/W2963163009","https://openalex.org/W2963216850","https://openalex.org/W2963263347","https://openalex.org/W2963351448","https://openalex.org/W2963418739","https://openalex.org/W2963419596","https://openalex.org/W2963446712","https://openalex.org/W2963525613","https://openalex.org/W2963778169","https://openalex.org/W2963821229","https://openalex.org/W2963918968","https://openalex.org/W2964016673","https://openalex.org/W2964081807","https://openalex.org/W2964137095","https://openalex.org/W2964217532","https://openalex.org/W2964259004","https://openalex.org/W2964309882","https://openalex.org/W2964444661","https://openalex.org/W2964515685","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2971930396","https://openalex.org/W2972830778","https://openalex.org/W2973943791","https://openalex.org/W2980270353","https://openalex.org/W2981701755","https://openalex.org/W2981748264","https://openalex.org/W2982083293","https://openalex.org/W2987301155","https://openalex.org/W2988916019","https://openalex.org/W2993235622","https://openalex.org/W2994671176","https://openalex.org/W2994731810","https://openalex.org/W2994749257","https://openalex.org/W2996409713","https://openalex.org/W2997473137","https://openalex.org/W2997614040","https://openalex.org/W2999270366","https://openalex.org/W2999284292","https://openalex.org/W3000557999","https://openalex.org/W3014641072","https://openalex.org/W3015362971","https://openalex.org/W3024880312","https://openalex.org/W3034098129","https://openalex.org/W3034309359","https://openalex.org/W3034406766","https://openalex.org/W3034528892","https://openalex.org/W3034764953","https://openalex.org/W3035526186","https://openalex.org/W3082002974","https://openalex.org/W3082154327","https://openalex.org/W3092207651","https://openalex.org/W3093155142","https://openalex.org/W3096533519","https://openalex.org/W3097555862","https://openalex.org/W3103320289","https://openalex.org/W3105916048","https://openalex.org/W3107893198","https://openalex.org/W3109946440","https://openalex.org/W3111133646","https://openalex.org/W3118608800","https://openalex.org/W3135364387","https://openalex.org/W3164008977","https://openalex.org/W3180150746","https://openalex.org/W3180562345","https://openalex.org/W3183295755","https://openalex.org/W3190627196","https://openalex.org/W3196904463","https://openalex.org/W3203915045","https://openalex.org/W3206752670","https://openalex.org/W3211490618","https://openalex.org/W3215340516","https://openalex.org/W4255158661","https://openalex.org/W4287900329","https://openalex.org/W4288320011","https://openalex.org/W4288325606","https://openalex.org/W4289547902","https://openalex.org/W4289763996","https://openalex.org/W4295185264","https://openalex.org/W4295312788","https://openalex.org/W4297729342","https://openalex.org/W4297775537","https://openalex.org/W6603183647","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6639102338","https://openalex.org/W6674385629","https://openalex.org/W6684191040","https://openalex.org/W6714181750","https://openalex.org/W6716843620","https://openalex.org/W6719523400","https://openalex.org/W6726497184","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6737664043","https://openalex.org/W6739622702","https://openalex.org/W6741978826","https://openalex.org/W6743428213","https://openalex.org/W6743495212","https://openalex.org/W6745136726","https://openalex.org/W6745614327","https://openalex.org/W6748481559","https://openalex.org/W6748587240","https://openalex.org/W6749046737","https://openalex.org/W6751421292","https://openalex.org/W6752515464","https://openalex.org/W6753278433","https://openalex.org/W6753344092","https://openalex.org/W6753701838","https://openalex.org/W6753767121","https://openalex.org/W6754892616","https://openalex.org/W6754993503","https://openalex.org/W6756887525","https://openalex.org/W6757204547","https://openalex.org/W6759402996","https://openalex.org/W6759828284","https://openalex.org/W6761066626","https://openalex.org/W6762376514","https://openalex.org/W6762718338","https://openalex.org/W6763233178","https://openalex.org/W6764013109","https://openalex.org/W6764322716","https://openalex.org/W6765297142","https://openalex.org/W6766029800","https://openalex.org/W6766225098","https://openalex.org/W6766389548","https://openalex.org/W6766978945","https://openalex.org/W6767064347","https://openalex.org/W6767753340","https://openalex.org/W6767953722","https://openalex.org/W6767994309","https://openalex.org/W6771127686","https://openalex.org/W6771640722","https://openalex.org/W6771784742","https://openalex.org/W6771859737","https://openalex.org/W6772103215","https://openalex.org/W6772709175","https://openalex.org/W6772812598","https://openalex.org/W6779269079","https://openalex.org/W6781752936","https://openalex.org/W6783671563","https://openalex.org/W6784343995","https://openalex.org/W6784847242","https://openalex.org/W6787972765","https://openalex.org/W6788673338","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W2386387936"],"abstract_inverted_index":{"Differentiable":[0,74],"ARchiTecture":[1,75],"Search,":[2],"i.e.,":[3],"DARTS,":[4],"has":[5],"drawn":[6],"great":[7],"attention":[8],"in":[9,20,30,122,133,152,198],"neural":[10],"architecture":[11,19,106,120,169],"search.":[12],"It":[13],"tries":[14],"to":[15,170],"find":[16],"the":[17,39,55,60,81,91,100,110,113,119,123,130,138,141,148,157,165,168,172,187,190,194,199,217],"optimal":[18],"a":[21,31,46,71,86,153],"shallow":[22],"search":[23,40,92,101,124,158,201,219],"network":[24,102,115,125,143],"and":[25,41,70,93,109,159,162,178,183,210,236],"then":[26],"measures":[27],"its":[28],"performance":[29],"deep":[32],"evaluation":[33,42,94,114,142,160,174],"network.":[34,175],"The":[35,176],"independent":[36],"optimization":[37,62,68,155],"of":[38,112,156,167,189],"networks,":[43],"however,":[44],"leaves":[45],"room":[47],"for":[48,107],"potential":[49],"improvement":[50],"by":[51,129],"allowing":[52],"interaction":[53],"between":[54,90],"two":[56],"networks.":[57],"To":[58],"address":[59],"problematic":[61],"issue,":[63],"we":[64,203,221],"propose":[65],"new":[66],"joint":[67,154],"objectives":[69],"novel":[72],"Cyclic":[73],"Search":[76],"framework,":[77],"dubbed":[78],"CDARTS.":[79],"Considering":[80],"structure":[82],"difference,":[83],"CDARTS":[84],"builds":[85],"cyclic":[87],"feedback":[88],"mechanism":[89],"networks":[95,161],"with":[96],"introspective":[97],"distillation.":[98,146],"First,":[99],"generates":[103],"an":[104],"initial":[105],"evaluation,":[108],"weights":[111,121],"are":[116,126,238],"optimized.":[117],"Second,":[118],"further":[127],"optimized":[128],"label":[131],"supervision":[132],"classification,":[134],"as":[135,137],"well":[136],"regularization":[139],"from":[140],"through":[144],"feature":[145],"Repeating":[147],"above":[149],"cycle":[150],"results":[151],"thus":[163],"enables":[164],"evolution":[166],"fit":[171],"final":[173],"experiments":[177],"analysis":[179],"on":[180,208,214,226],"CIFAR,":[181],"ImageNet":[182],"NATS-Bench":[184],"[95]":[185],"demonstrate":[186],"effectiveness":[188],"proposed":[191],"approach":[192],"over":[193],"state-of-the-art":[195],"ones.":[196],"Specifically,":[197],"DARTS":[200],"space,":[202,220],"achieve":[204,222],"97.52%":[205],"top-1":[206,212,224],"accuracy":[207,213,225],"CIFAR10":[209],"76.3%":[211],"ImageNet.":[215],"In":[216],"chain-structured":[218],"78.2%":[223],"ImageNet,":[227],"which":[228],"is":[229],"1.1%":[230],"higher":[231],"than":[232],"EfficientNet-B0.":[233],"Our":[234],"code":[235],"models":[237],"publicly":[239],"available":[240],"at":[241],"https://github.com/microsoft/Cream.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
