{"id":"https://openalex.org/W4312502602","doi":"https://doi.org/10.1145/3522664.3528614","title":"Robust active learning","display_name":"Robust active learning","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4312502602","doi":"https://doi.org/10.1145/3522664.3528614"},"language":"en","primary_location":{"id":"doi:10.1145/3522664.3528614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522664.3528614","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522664.3528614","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI","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/10.1145/3522664.3528614","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023978917","display_name":"Yuejun Guo","orcid":"https://orcid.org/0000-0002-5535-2420"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Yuejun Guo","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406450","display_name":"Qiang Hu","orcid":"https://orcid.org/0000-0002-8251-1669"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Qiang Hu","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000695937","display_name":"Maxime Cordy","orcid":"https://orcid.org/0000-0001-8312-1358"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Maxime Cordy","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081145634","display_name":"Mike Papadakis","orcid":"https://orcid.org/0000-0003-1852-2547"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Mike Papadakis","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040574362","display_name":"Yves Le Traon","orcid":"https://orcid.org/0000-0002-1045-4861"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Yves Le Traon","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023978917"],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54767471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.979200005531311,"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":0.955299973487854,"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/robustness","display_name":"Robustness (evolution)","score":0.8182446956634521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780332088470459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7024734616279602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397964954376221},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48772844672203064},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4839746952056885},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4444510340690613},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4403301179409027}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8182446956634521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780332088470459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7024734616279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397964954376221},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48772844672203064},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4839746952056885},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4444510340690613},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4403301179409027},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3522664.3528614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522664.3528614","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522664.3528614","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3522664.3528614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3522664.3528614","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3522664.3528614","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312502602.pdf","grobid_xml":"https://content.openalex.org/works/W4312502602.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2171671120"],"related_works":["https://openalex.org/W4311734044","https://openalex.org/W3164903455","https://openalex.org/W2946768379","https://openalex.org/W4315780078","https://openalex.org/W3193857078","https://openalex.org/W3199675190","https://openalex.org/W4306177400","https://openalex.org/W3035729345","https://openalex.org/W4287549955","https://openalex.org/W3114774860"],"abstract_inverted_index":{"Active":[0,37],"learning":[1,15,41],"is":[2],"an":[3,39,58],"established":[4,49],"technique":[5],"to":[6,51,61,86],"reduce":[7],"the":[8,23,47,63,70],"labeling":[9],"cost":[10],"for":[11],"building":[12],"high-quality":[13],"machine":[14],"models.":[16,54],"However,":[17],"state-of-the-art":[18],"approaches":[19,67],"focus":[20],"on":[21,97],"maximizing":[22],"clean":[24,89],"performance":[25,90],"(e.g.":[26],"accuracy)":[27],"but":[28],"disregarding":[29],"robustness.":[30,92],"In":[31],"this":[32],"work,":[33],"we":[34,56,75],"propose":[35,76],"Robust":[36],"Learning,":[38],"active":[40],"process":[42],"that":[43],"integrates":[44],"adversarial":[45],"training,":[46],"most":[48],"method":[50],"produce":[52],"robust":[53,81],"First,":[55],"conduct":[57],"empirical":[59],"study":[60],"evaluate":[62],"effectiveness":[64],"of":[65,72],"existing":[66],"and":[68,91,106],"uncover":[69],"characteristics":[71],"data.":[73],"Then,":[74],"a":[77],"novel":[78],"approach,":[79],"density-based":[80],"sampling":[82],"with":[83],"entropy":[84],"(DRE),":[85],"target":[87],"both":[88],"Our":[93],"experiments":[94],"are":[95],"conducted":[96],"11":[98],"acquisition":[99],"functions,":[100],"4":[101],"datasets,":[102],"6":[103],"DNN":[104],"architectures,":[105],"15105":[107],"trained":[108],"DNNs.":[109]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
