{"id":"https://openalex.org/W3195384110","doi":"https://doi.org/10.1145/3447548.3470827","title":"AutoML","display_name":"AutoML","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3195384110","doi":"https://doi.org/10.1145/3447548.3470827","mag":"3195384110"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3470827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3470827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","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/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422430","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0003-3907-4595"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040297543","display_name":"Bolin Ding","orcid":"https://orcid.org/0000-0003-1535-9692"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bolin Ding","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017222961","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0002-3092-4904"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046576694"],"corresponding_institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"],"apc_list":null,"apc_paid":null,"fwci":1.2237,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83364226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4048","last_page":"4049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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":0.548502504825592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.548502504825592}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3470827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3470827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1575029535","https://openalex.org/W2131241448","https://openalex.org/W2553303224","https://openalex.org/W2593390416","https://openalex.org/W2604272474","https://openalex.org/W2604763608","https://openalex.org/W2772124661","https://openalex.org/W2785366763","https://openalex.org/W2787501667","https://openalex.org/W2907670343","https://openalex.org/W2950728319","https://openalex.org/W2962746461","https://openalex.org/W2962771342","https://openalex.org/W2963334428","https://openalex.org/W2963527567","https://openalex.org/W2963832024","https://openalex.org/W2970148517","https://openalex.org/W2979450518","https://openalex.org/W2979531022","https://openalex.org/W3034429256","https://openalex.org/W3034560159","https://openalex.org/W3098230582","https://openalex.org/W3099273181","https://openalex.org/W3102117087","https://openalex.org/W3104240969","https://openalex.org/W3121516856","https://openalex.org/W3172054950","https://openalex.org/W4212774754","https://openalex.org/W6747943641","https://openalex.org/W6752515464","https://openalex.org/W6771847183","https://openalex.org/W6785059380","https://openalex.org/W6785554234","https://openalex.org/W6891748289","https://openalex.org/W6894410738","https://openalex.org/W6948168196"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"Machine":[0,72,131],"learning":[1,28,65,83,96],"methods":[2,84,97],"have":[3],"been":[4],"adopted":[5],"for":[6,63,144],"various":[7],"real-world":[8,87,145],"applications,":[9],"ranging":[10],"from":[11,156,168,187],"social":[12],"networks,":[13],"online":[14],"image/video-sharing":[15],"platforms,":[16],"and":[17,34,50,60,120,130,162,166,173,189],"e-commerce":[18],"to":[19,76,85],"education,":[20],"healthcare,":[21],"etc.":[22],"However,":[23],"several":[24],"components":[25,58,143],"of":[26,47,56,80,93,112,125,171],"machine":[27,64,82,95],"methods,":[29,161],"including":[30,114],"data":[31,48],"representation,":[32],"hyperparameter":[33],"model":[35,51],"architecture,":[36],"can":[37],"largely":[38],"affect":[39],"their":[40,164],"performance":[41],"in":[42,192],"practice.":[43],"Moreover,":[44],"the":[45,54,78,91,108,159,190],"explosions":[46],"scale":[49],"size":[52],"make":[53],"optimization":[55],"these":[57,69],"more":[59,61],"time-consuming":[62],"developers.":[66],"To":[67],"tackle":[68],"challenges,":[70],"Automated":[71],"Learning":[73,132],"(AutoML)":[74],"aims":[75],"automate":[77],"process":[79],"applying":[81],"solve":[86],"application":[88],"tasks,":[89],"reducing":[90],"time":[92],"tuning":[94],"while":[98],"maintaining":[99],"good":[100],"performance.":[101],"In":[102],"this":[103],"tutorial,":[104],"we":[105,150],"will":[106,135,151,176],"introduce":[107],"main":[109],"research":[110,181],"topics":[111,124],"AutoML,":[113,126],"Hyperparameter":[115],"Optimization,":[116],"Neural":[117],"Architecture":[118],"Search":[119],"Meta-Learning.":[121],"Two":[122],"emerging":[123],"DNN-based":[127],"Feature":[128],"Generation":[129],"Guided":[133],"Database,":[134],"also":[136,177],"be":[137],"discussed":[138],"as":[139],"they":[140],"are":[141],"important":[142],"applications.":[146],"For":[147],"each":[148],"topic,":[149],"motivate":[152],"it":[153],"with":[154],"examples":[155],"industry,":[157],"illustrate":[158],"state-of-the-art":[160],"discuss":[163,178],"pros":[165],"cons":[167],"both":[169],"perspectives":[170],"industry":[172,188],"academy.":[174,193],"We":[175],"some":[179],"future":[180],"directions":[182],"based":[183],"on":[184],"our":[185],"experience":[186],"trends":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-08-30T00:00:00"}
