乐胖代购免代理版

{"id":"https://openalex.org/W3191225462","doi":"https://doi.org/10.24963/ijcai.2021/307","title":"Generative Adversarial Neural Architecture Search","display_name":"Generative Adversarial Neural Architecture Search","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3191225462","doi":"https://doi.org/10.24963/ijcai.2021/307","mag":"3191225462"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/307","pdf_url":"https://www.ijcai.org/proceedings/2021/0307.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2021/0307.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051959827","display_name":"Seyed Saeed Changiz Rezaei","orcid":"https://orcid.org/0000-0002-8106-1571"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Seyed Saeed Changiz Rezaei","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd."],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd.","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231191","display_name":"Fred X. Han","orcid":"https://orcid.org/0000-0001-9379-2147"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fred X. Han","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd."],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd.","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032424832","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5250-7327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Di Niu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta","Huawei Technologies Canada Co., Ltd."],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd.","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006778208","display_name":"Mohammad Salameh","orcid":"https://orcid.org/0000-0001-9266-4637"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Salameh","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd."],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd.","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044090050","display_name":"Keith G. Mills","orcid":"https://orcid.org/0000-0001-6054-1798"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keith Mills","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058964100","display_name":"Shuo Lian","orcid":"https://orcid.org/0000-0003-2326-8344"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Lian","raw_affiliation_strings":["Huawei Kirin Solution, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Huawei Kirin Solution, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766134","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-5046-4001"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd."],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd.","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012650575","display_name":"Shangling Jui","orcid":"https://orcid.org/0000-0002-1047-4264"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangling Jui","raw_affiliation_strings":["Huawei Kirin Solution, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Huawei Kirin Solution, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.305,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.542866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":78},"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2234"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9999,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9999,"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":0.9999,"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":0.9995,"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/discriminator","display_name":"Discriminator","score":0.83882284}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.83882284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77872324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6230893},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.60819346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5994801},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5444594},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48304278},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4673814},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44364727},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.44201124},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43008283},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42726183},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41761076},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/307","pdf_url":"https://www.ijcai.org/proceedings/2021/0307.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.09356","pdf_url":"http://arxiv.org/pdf/2105.09356","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/307","pdf_url":"https://www.ijcai.org/proceedings/2021/0307.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.63}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W2788853733","https://openalex.org/W2885311373","https://openalex.org/W2915992092","https://openalex.org/W2951104886","https://openalex.org/W2951245151","https://openalex.org/W2955425717","https://openalex.org/W2962810718","https://openalex.org/W2962847160","https://openalex.org/W2963521729","https://openalex.org/W2963918968","https://openalex.org/W2964121592","https://openalex.org/W2964259004","https://openalex.org/W2964515685","https://openalex.org/W2994731810","https://openalex.org/W2999270366","https://openalex.org/W3007549584","https://openalex.org/W3034098129","https://openalex.org/W3035400692","https://openalex.org/W3081305497","https://openalex.org/W4300687381","https://openalex.org/W4320005659","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4398186750","https://openalex.org/W4381885966","https://openalex.org/W4293320219","https://openalex.org/W4288256692","https://openalex.org/W4283584549","https://openalex.org/W3156863413","https://openalex.org/W2998859928","https://openalex.org/W2969399009","https://openalex.org/W2953246223","https://openalex.org/W2554314924"],"abstract_inverted_index":{"Despite":[0],"the":[1,13,81,100,116,129,167],"empirical":[2],"success":[3],"of":[4,18,67,108,163,169],"neural":[5,44],"architecture":[6,45],"search":[7,70,101,135,138,174],"(NAS)":[8],"in":[9,43,161,171],"deep":[10],"learning":[11,78,87],"applications,":[12],"optimality,":[14],"reproducibility":[15,42],"and":[16,41,137,159],"cost":[17],"NAS":[19,32,126,155],"schemes":[20],"remain":[21],"hard":[22],"to":[23,56,98,147],"assess.":[24],"In":[25,128],"this":[26],"paper,":[27],"we":[28,73],"propose":[29,74],"Generative":[30],"Adversarial":[31],"(GA-NAS)":[33],"with":[34],"theoretically":[35],"provable":[36],"convergence":[37],"guarantees,":[38],"promoting":[39],"stability":[40],"search.":[46],"Inspired":[47],"by":[48,85,92,153],"importance":[49],"sampling,":[50],"GA-NAS":[51,114,131,143],"iteratively":[52],"fits":[53],"a":[54,68,93,105],"generator":[55,82],"previously":[57],"discovered":[58],"top":[59],"architectures,":[60],"thus":[61,95],"increasingly":[62],"focusing":[63],"on":[64,89,123],"important":[65],"parts":[66],"large":[69,106],"space.":[71,175],"Furthermore,":[72],"an":[75],"efficient":[76],"adversarial":[77],"approach,":[79],"where":[80],"is":[83],"trained":[84],"reinforcement":[86],"based":[88],"rewards":[90],"provided":[91],"discriminator,":[94],"being":[96],"able":[97],"explore":[99],"space":[102],"without":[103],"evaluating":[104],"number":[107,168],"architectures.":[109],"Extensive":[110],"experiments":[111],"show":[112,141],"that":[113,142],"beats":[115],"best":[117],"published":[118],"results":[119],"under":[120],"several":[121],"cases":[122],"three":[124],"public":[125],"benchmarks.":[127],"meantime,":[130],"can":[132,144],"handle":[133],"ad-hoc":[134],"constraints":[136],"spaces.":[139],"We":[140],"be":[145],"used":[146],"improve":[148],"already":[149],"optimized":[150],"baselines":[151],"found":[152],"other":[154],"methods,":[156],"including":[157],"EfficientNet":[158],"ProxylessNAS,":[160],"terms":[162],"ImageNet":[164],"accuracy":[165],"or":[166],"parameters,":[170],"their":[172],"original":[173]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3191225462","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-01-04T14:43:01.917406","created_date":"2021-08-16"}