{"id":"https://openalex.org/W2809182263","doi":"https://doi.org/10.1145/3219819.3219914","title":"Active Deep Learning to Tune Down the Noise in Labels","display_name":"Active Deep Learning to Tune Down the Noise in Labels","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2809182263","doi":"https://doi.org/10.1145/3219819.3219914","mag":"2809182263"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219914","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219914","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040617244","display_name":"Karan Samel","orcid":"https://orcid.org/0009-0002-8788-5624"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karan Samel","raw_affiliation_strings":["Astound, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Astound, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016620131","display_name":"Miao Xu","orcid":"https://orcid.org/0000-0001-9409-6960"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu Miao","raw_affiliation_strings":["Astound, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Astound, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040617244"],"corresponding_institution_ids":["https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66593452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"685","last_page":"694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9995999932289124,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/oracle","display_name":"Oracle","score":0.8743413090705872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7797589302062988},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7016721367835999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6846988201141357},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.6111152172088623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5878451466560364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5833614468574524},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5465934872627258},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5131223797798157},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5111742615699768},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4949035048484802},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4658217132091522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4558168947696686},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4530297815799713},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44855648279190063},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44776803255081177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37673866748809814},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07811760902404785}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.8743413090705872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7797589302062988},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7016721367835999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6846988201141357},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.6111152172088623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5878451466560364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5833614468574524},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5465934872627258},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5131223797798157},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5111742615699768},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4949035048484802},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4658217132091522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4558168947696686},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4530297815799713},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44855648279190063},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44776803255081177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37673866748809814},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07811760902404785},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219819.3219914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219914","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3219819.3219914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219914","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2809182263.pdf","grobid_xml":"https://content.openalex.org/works/W2809182263.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W18156408","https://openalex.org/W138745945","https://openalex.org/W174941419","https://openalex.org/W177233457","https://openalex.org/W1511986666","https://openalex.org/W1514707997","https://openalex.org/W1528361845","https://openalex.org/W1599678127","https://openalex.org/W1666146316","https://openalex.org/W1832693441","https://openalex.org/W1898031563","https://openalex.org/W1970381522","https://openalex.org/W2042932437","https://openalex.org/W2056707879","https://openalex.org/W2060099436","https://openalex.org/W2107189314","https://openalex.org/W2108598243","https://openalex.org/W2114232233","https://openalex.org/W2115404432","https://openalex.org/W2117756453","https://openalex.org/W2120340025","https://openalex.org/W2130942839","https://openalex.org/W2150578640","https://openalex.org/W2151023586","https://openalex.org/W2151596305","https://openalex.org/W2152798516","https://openalex.org/W2163921091","https://openalex.org/W2249946156","https://openalex.org/W2282821441","https://openalex.org/W2399495046","https://openalex.org/W2403518066","https://openalex.org/W2426031434","https://openalex.org/W2560674852","https://openalex.org/W2574963492","https://openalex.org/W2760277945","https://openalex.org/W2761040968","https://openalex.org/W2914331073","https://openalex.org/W2963173382","https://openalex.org/W2963748441","https://openalex.org/W3123251474","https://openalex.org/W4285719527","https://openalex.org/W4293052541","https://openalex.org/W4298132949"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W1987128138","https://openalex.org/W2133845513"],"abstract_inverted_index":{"The":[0,26,45,68],"great":[1],"success":[2],"of":[3,47,57,84,170,177],"supervised":[4,62,85],"learning":[5,63,86,119],"has":[6],"initiated":[7],"a":[8,13,18,100,110],"paradigm":[9],"shift":[10],"from":[11],"building":[12],"deterministic":[14],"software":[15],"system":[16,22],"to":[17,72,121,138],"probabilistic":[19],"artificial":[20],"intelligent":[21],"throughout":[23],"the":[24,35,39,48,55,74,78,82,90,123,131,140,149,153,171,181],"industry.":[25],"historical":[27],"records":[28],"in":[29,93,152],"enterprise":[30,160],"domains":[31],"can":[32,166],"potentially":[33],"bootstrap":[34],"traditional":[36],"business":[37],"into":[38],"modern":[40],"data-driven":[41],"approach":[42,106],"almost":[43],"everywhere.":[44],"introduction":[46],"Deep":[49,103],"Neural":[50],"Networks":[51],"(DNNs)":[52],"significantly":[53],"reduces":[54],"efforts":[56],"feature":[58],"engineering":[59],"so":[60],"that":[61,107,129,164],"becomes":[64],"even":[65],"more":[66],"automated.":[67],"last":[69],"bottleneck":[70],"is":[71,87,148],"ensure":[73],"data":[75],"quality,":[76,80],"particularly":[77],"label":[79],"because":[81],"performance":[83],"bounded":[88],"by":[89,180],"errors":[91],"present":[92,99],"labels.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98,135],"new":[101],"Active":[102],"Denoising":[104],"(ADD)":[105],"first":[108],"builds":[109],"DNN":[111],"noise":[112,133],"model,":[113],"and":[114,162],"then":[115],"adopts":[116],"an":[117],"active":[118],"algorithm":[120],"identify":[122],"optimal":[124],"denoising":[125],"function.":[126],"We":[127,155],"prove":[128],"under":[130],"low":[132],"condition,":[134],"only":[136,175],"need":[137],"query":[139],"oracle":[141],"with":[142,174],"log":[143],"n":[144,147],"examples":[145,178],"where":[146],"total":[150],"number":[151],"data.":[154],"apply":[156],"ADD":[157],"on":[158],"one":[159],"application":[161],"show":[163],"it":[165],"effectively":[167],"reduce":[168],"1/3":[169],"prediction":[172],"error":[173],"0.1%":[176],"verified":[179],"oracle.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}