{"id":"https://openalex.org/W4402352176","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651221","title":"FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning","display_name":"FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352176","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651221"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078516991","display_name":"Arjun Roy","orcid":"https://orcid.org/0000-0002-4279-9442"},"institutions":[{"id":"https://openalex.org/I75951250","display_name":"Freie Universit\u00e4t Berlin","ror":"https://ror.org/046ak2485","country_code":"DE","type":"education","lineage":["https://openalex.org/I75951250"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arjun Roy","raw_affiliation_strings":["Free University of Berlin,Dept. Math & CSc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Free University of Berlin,Dept. Math & CSc","institution_ids":["https://openalex.org/I75951250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024874767","display_name":"Christos Koutlis","orcid":"https://orcid.org/0000-0003-3682-408X"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Koutlis","raw_affiliation_strings":["Information Technologies Institute, CERTH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, CERTH","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490684","display_name":"Symeon Papadopoulos","orcid":"https://orcid.org/0000-0002-0708-7431"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Symeon Papadopoulos","raw_affiliation_strings":["Information Technologies Institute, CERTH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, CERTH","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109593737","display_name":"Eirini Ntoutsi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eirini Ntoutsi","raw_affiliation_strings":["RI CODE, Bundeswehr University,Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RI CODE, Bundeswehr University,Munich","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9642000198364258,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9642000198364258,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9480000138282776,"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":0.6728785634040833},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6388224959373474},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6117784380912781},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.5268310904502869},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32268190383911133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22201645374298096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08188822865486145},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0607321560382843},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0592365562915802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728785634040833},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6388224959373474},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6117784380912781},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.5268310904502869},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32268190383911133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22201645374298096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08188822865486145},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0607321560382843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0592365562915802}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1920328734","https://openalex.org/W2153233077","https://openalex.org/W2530395818","https://openalex.org/W2549401308","https://openalex.org/W2624871570","https://openalex.org/W2902347140","https://openalex.org/W2950664378","https://openalex.org/W2953077209","https://openalex.org/W2996829667","https://openalex.org/W3092189037","https://openalex.org/W3106539628","https://openalex.org/W3141797743","https://openalex.org/W3167428535","https://openalex.org/W3170500301","https://openalex.org/W3199192463","https://openalex.org/W3210904560","https://openalex.org/W3213978703","https://openalex.org/W4210736086","https://openalex.org/W4226217245","https://openalex.org/W4241783026","https://openalex.org/W4250589301","https://openalex.org/W4286892891","https://openalex.org/W4287685869","https://openalex.org/W4302285999","https://openalex.org/W4321649543","https://openalex.org/W4327656978","https://openalex.org/W4380357747","https://openalex.org/W4386804672","https://openalex.org/W6636890744","https://openalex.org/W6640308425","https://openalex.org/W6728551298","https://openalex.org/W6739365718","https://openalex.org/W6745995898","https://openalex.org/W6756732229","https://openalex.org/W6761472960","https://openalex.org/W6763070779","https://openalex.org/W6771876938","https://openalex.org/W6779247072","https://openalex.org/W6782322686","https://openalex.org/W6783990525","https://openalex.org/W6799868450","https://openalex.org/W6800899058","https://openalex.org/W6810766738"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3196817267"],"abstract_inverted_index":{"The":[0],"generalisation":[1],"capacity":[2],"of":[3,51,57,79,87,128],"Multi-Task":[4],"Learning":[5],"(MTL)":[6],"suffers":[7],"when":[8,82],"unrelated":[9],"tasks":[10,81,95,134],"negatively":[11],"impact":[12],"each":[13],"other":[14,80],"by":[15,124],"updating":[16],"shared":[17],"parameters":[18],"with":[19],"conflicting":[20],"gradients.":[21],"This":[22],"is":[23,84,180],"known":[24],"as":[25,101],"negative":[26,67,137],"transfer":[27,68,154],"and":[28,60,108,163,176],"leads":[29],"to":[30,37,66,99,135,151],"a":[31,45,85,114],"drop":[32],"in":[33,110],"MTL":[34,52,122,165],"accuracy":[35,59],"compared":[36],"single-task":[38],"learning":[39],"(STL).":[40],"Lately,":[41],"there":[42,83],"has":[43],"been":[44],"growing":[46],"focus":[47],"on":[48,161,173,182],"the":[49,55,77,92,121,126],"fairness":[50,61,72,78,88,142,175],"models,":[53],"requiring":[54],"optimization":[56],"both":[58,106,174],"for":[62,69],"individual":[63],"tasks.":[64],"Analogously":[65],"accuracy,":[70],"task-specific":[71],"considerations":[73],"might":[74],"adversely":[75],"affect":[76],"conflict":[86,145],"loss":[89,143],"gradients":[90],"between":[91,147],"jointly":[93],"learned":[94,129],"-":[96],"we":[97,112],"refer":[98],"this":[100],"bias":[102,153],"transfer.":[103,138],"To":[104],"address":[105,152],"negative-":[107],"bias-transfer":[109],"MTL,":[111],"propose":[113],"novel":[115],"method":[116],"called":[117],"FairBranch,":[118],"which":[119],"branches":[120,150],"model":[123],"assessing":[125],"similarity":[127],"parameters,":[130],"thereby":[131],"grouping":[132],"related":[133],"alleviate":[136],"Moreover,":[139],"it":[140],"incorporates":[141],"gradient":[144],"correction":[146],"adjoining":[148],"task-group":[149],"within":[155],"these":[156],"task":[157],"groups.":[158],"Our":[159,178],"experiments":[160],"tabular":[162],"visual":[164],"problems":[166],"show":[167],"that":[168],"FairBranch":[169],"outperforms":[170],"state-of-the-art":[171],"MTLs":[172],"accuracy.":[177],"code":[179],"available":[181],"github.com/arjunroyihrpa/FairBranch":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}