{"id":"https://openalex.org/W4392904806","doi":"https://doi.org/10.1109/icassp48485.2024.10446564","title":"Data Augmentation via Subgroup Mixup for Improving Fairness","display_name":"Data Augmentation via Subgroup Mixup for Improving Fairness","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904806","doi":"https://doi.org/10.1109/icassp48485.2024.10446564"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5081211458","display_name":"Madeline Navarro","orcid":"https://orcid.org/0000-0002-3749-8856"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madeline Navarro","raw_affiliation_strings":["Rice University,Electrical and Computer Engineering,USA","Electrical and Computer Engineering, Rice University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111040296","display_name":"Camille Little","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Camille Little","raw_affiliation_strings":["Rice University,Electrical and Computer Engineering,USA","Electrical and Computer Engineering, Rice University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048412925","display_name":"Genevera I. Allen","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Genevera I. Allen","raw_affiliation_strings":["Rice University,Electrical and Computer Engineering,USA","Electrical and Computer Engineering, Rice University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012007074","display_name":"Santiago Segarra","orcid":"https://orcid.org/0000-0002-8408-9633"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santiago Segarra","raw_affiliation_strings":["Rice University,Electrical and Computer Engineering,USA","Electrical and Computer Engineering, Rice University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":4.4191,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94770018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7350","last_page":"7354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9659000039100647,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9283999800682068,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8767205476760864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301758527755737},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6846988201141357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6595454216003418},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6287623047828674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5411206483840942},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5394279956817627},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.512883186340332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37684059143066406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11463218927383423}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8767205476760864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301758527755737},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6846988201141357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6595454216003418},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6287623047828674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5411206483840942},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5394279956817627},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.512883186340332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37684059143066406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11463218927383423},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2014352947","https://openalex.org/W2116984840","https://openalex.org/W2530395818","https://openalex.org/W2963174898","https://openalex.org/W2963728933","https://openalex.org/W3005040148","https://openalex.org/W4210736086","https://openalex.org/W4281649751","https://openalex.org/W4296566933","https://openalex.org/W4297663312","https://openalex.org/W4306176212","https://openalex.org/W4375869310","https://openalex.org/W6684072790","https://openalex.org/W6728551298","https://openalex.org/W6745136726","https://openalex.org/W6747567582","https://openalex.org/W6748650672","https://openalex.org/W6753093262","https://openalex.org/W6760184523","https://openalex.org/W6762226699","https://openalex.org/W6790608362","https://openalex.org/W6791483113","https://openalex.org/W6838320367","https://openalex.org/W6839364748","https://openalex.org/W6843524303","https://openalex.org/W6845948468","https://openalex.org/W7014198846"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W1692008701"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,48,128],"propose":[4],"data":[5,33,57,110],"augmentation":[6,69,111],"via":[7],"pairwise":[8,51],"mixup":[9,43,52,96,107],"across":[10,25],"subgroups":[11],"to":[12,29,54,75,82,90,97,108,131],"improve":[13,98],"group":[14,71],"fairness.":[15],"Many":[16],"real-world":[17,121],"applications":[18],"of":[19,42,79,95],"machine":[20],"learning":[21],"systems":[22],"exhibit":[23],"biases":[24],"certain":[26],"groups":[27,81],"due":[28],"underrepresentation":[30],"or":[31],"training":[32,56],"that":[34,127],"reflects":[35],"societal":[36],"biases.":[37],"Inspired":[38],"by":[39],"the":[40,92],"successes":[41],"for":[44,65,70],"improving":[45],"classification":[46,124],"performance,":[47],"develop":[49],"a":[50],"scheme":[53],"augment":[55],"and":[58,61,101,112,120],"encourage":[59],"fair":[60,123,133],"accurate":[62],"decision":[63],"boundaries":[64],"all":[66],"subgroups.":[67],"Data":[68],"fairness":[72,100],"allows":[73,88],"us":[74,89],"add":[76],"new":[77],"samples":[78],"underrepresented":[80],"balance":[83],"subpopulations.":[84],"Furthermore,":[85],"our":[86,105],"method":[87],"use":[91],"generalization":[93],"ability":[94],"both":[99,117],"accuracy.":[102,140],"We":[103],"compare":[104],"proposed":[106],"existing":[109],"bias":[113],"mitigation":[114],"approaches":[115],"on":[116],"synthetic":[118],"simulations":[119],"benchmark":[122],"data,":[125],"demonstrating":[126],"are":[129],"able":[130],"achieve":[132],"outcomes":[134],"with":[135],"robust":[136],"if":[137],"not":[138],"improved":[139]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}