{"id":"https://openalex.org/W2914554687","doi":"https://doi.org/10.1145/3293883.3295710","title":"Beyond human-level accuracy","display_name":"Beyond human-level accuracy","publication_year":2019,"publication_date":"2019-02-05","ids":{"openalex":"https://openalex.org/W2914554687","doi":"https://doi.org/10.1145/3293883.3295710","mag":"2914554687"},"language":"en","primary_location":{"id":"doi:10.1145/3293883.3295710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293883.3295710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming","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/A5089825123","display_name":"Joel Hestness","orcid":"https://orcid.org/0000-0001-6920-0906"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Joel Hestness","raw_affiliation_strings":["Baidu Research"],"affiliations":[{"raw_affiliation_string":"Baidu Research","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031627270","display_name":"Newsha Ardalani","orcid":"https://orcid.org/0000-0002-9975-4819"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Newsha Ardalani","raw_affiliation_strings":["Baidu Research"],"affiliations":[{"raw_affiliation_string":"Baidu Research","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006631932","display_name":"Gregory Diamos","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gregory Diamos","raw_affiliation_strings":["Baidu Research"],"affiliations":[{"raw_affiliation_string":"Baidu Research","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089825123"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":3.1675,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.93586278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976999759674072,"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":0.7726549506187439},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6325849890708923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6243223547935486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5743668079376221},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.48051249980926514},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47579869627952576},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4672527015209198},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4358668327331543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33039605617523193},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.116413414478302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11579900979995728},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0946524441242218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726549506187439},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6325849890708923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6243223547935486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5743668079376221},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.48051249980926514},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47579869627952576},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4672527015209198},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4358668327331543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33039605617523193},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.116413414478302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11579900979995728},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0946524441242218},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293883.3295710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293883.3295710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1499864241","https://openalex.org/W1667652561","https://openalex.org/W2002555321","https://openalex.org/W2057332538","https://openalex.org/W2079145130","https://openalex.org/W2117539524","https://openalex.org/W2157963512","https://openalex.org/W2158158791","https://openalex.org/W2162390675","https://openalex.org/W2194775991","https://openalex.org/W2259472270","https://openalex.org/W2466675884","https://openalex.org/W2473934411","https://openalex.org/W2592549418","https://openalex.org/W2603836393","https://openalex.org/W2622263826","https://openalex.org/W2734663976","https://openalex.org/W2739427748","https://openalex.org/W2752512710","https://openalex.org/W2774000609","https://openalex.org/W2783538964","https://openalex.org/W2885259833","https://openalex.org/W2949335953","https://openalex.org/W2951781666","https://openalex.org/W2952127252","https://openalex.org/W2952339051","https://openalex.org/W2952754453","https://openalex.org/W2962747323","https://openalex.org/W2964004663","https://openalex.org/W4245312332"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4231775656","https://openalex.org/W2611989081","https://openalex.org/W2046435967","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W2383646825","https://openalex.org/W4304166257","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Deep":[0],"learning":[1,80],"(DL)":[2],"research":[3],"yields":[4],"accuracy":[5,47,71],"and":[6,14,19,21,48,63],"product":[7],"improvements":[8],"from":[9],"both":[10],"model":[11,33,46,49,64],"architecture":[12],"changes":[13],"scale:":[15],"larger":[16],"data":[17],"sets":[18],"models,":[20],"more":[22],"computation.":[23],"For":[24],"hardware":[25],"design,":[26],"it":[27],"is":[28],"difficult":[29],"to":[30,59,68,74,85,92,95],"predict":[31],"DL":[32,45,70],"changes.":[34],"However,":[35],"recent":[36],"prior":[37,57],"work":[38,58],"shows":[39],"that":[40],"as":[41],"dataset":[42,62],"sizes":[43],"grow,":[44],"size":[50,65],"grow":[51,86,93],"predictably.":[52],"This":[53],"paper":[54],"leverages":[55],"the":[56,61],"project":[60],"growth":[66],"required":[67],"advance":[69],"beyond":[72],"human-level,":[73],"frontier":[75],"targets":[76],"defined":[77],"by":[78],"machine":[79],"experts.":[81],"Datasets":[82],"will":[83,90],"need":[84,91],"33--971\u00d7,":[87],"while":[88],"models":[89],"6.6--456\u00d7":[94],"achieve":[96],"target":[97],"accuracies.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
