{"id":"https://openalex.org/W7163150263","doi":"https://doi.org/10.48550/arxiv.2606.00399","title":"Multi-Objective Reference-Aligned Machine Unlearning","display_name":"Multi-Objective Reference-Aligned Machine Unlearning","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163150263","doi":"https://doi.org/10.48550/arxiv.2606.00399"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00399","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00399","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.00399","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041819838","display_name":"Rasa Khosrowshahli","orcid":"https://orcid.org/0000-0002-5130-8203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khosrowshahli, Rasa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137624961","display_name":"Stephen Asobiela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asobiela, Stephen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137661923","display_name":"Beatrice Ombuki-Berman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ombuki-Berman, Beatrice","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077727968","display_name":"Shahryar Rahnamayan","orcid":"https://orcid.org/0000-0002-6990-787X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahnamayan, Shahryar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.45339998602867126,"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":0.45339998602867126,"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":0.17440000176429749,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.07699999958276749,"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/forgetting","display_name":"Forgetting","score":0.8572999835014343},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6110000014305115},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5587999820709229},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4099999964237213},{"id":"https://openalex.org/keywords/jacobian-matrix-and-determinant","display_name":"Jacobian matrix and determinant","score":0.4043000042438507},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.39160001277923584}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8572999835014343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323999762535095},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.438400000333786},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.4043000042438507},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3864000141620636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2800999879837036},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.2727999985218048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00399","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00399","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.00399","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00399","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6123825907707214,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"unlearning":[1],"aims":[2],"to":[3,31,43,143],"remove":[4],"the":[5,13,41,102,139],"influence":[6],"of":[7,73],"specific":[8],"training":[9],"samples":[10,77],"while":[11],"preserving":[12],"model's":[14],"utility.":[15],"Existing":[16],"single-objective":[17],"approaches,":[18],"such":[19],"as":[20,87],"gradient":[21,107],"ascent":[22],"or":[23,91],"random":[24],"relabeling,":[25],"often":[26],"induce":[27],"catastrophic":[28],"forgetting":[29,37,60,103],"due":[30],"conflicting":[32],"optimization":[33,114],"dynamics":[34],"and":[35,61,105],"unbounded":[36,65],"objectives":[38],"that":[39,57,129,136],"cause":[40],"model":[42],"drift":[44],"from":[45,95],"its":[46],"pre-trained":[47],"knowledge.":[48],"We":[49],"propose":[50],"Reference-Aligned":[51],"UnLearning":[52],"(RAUL),":[53],"a":[54,69,79,88,96,127],"multi-objective":[55,113],"framework":[56],"jointly":[58],"optimizes":[59],"retention":[62],"by":[63],"replacing":[64],"loss":[66],"maximization":[67],"with":[68,109],"bounded":[70],"KL":[71],"alignment":[72],"predictions":[74],"on":[75],"forgotten":[76],"toward":[78],"reference":[80,98],"distribution":[81,90,94],"representing":[82],"unseen":[83],"data,":[84],"instantiated":[85],"either":[86],"uniform":[89],"an":[92],"empirical":[93],"held-out":[97],"set,":[99],"which":[100,122],"constrains":[101],"objective":[104],"reduces":[106],"conflict":[108],"retention.":[110],"The":[111],"resulting":[112],"(MOO)":[115],"problem":[116],"is":[117],"solved":[118],"via":[119],"Jacobian":[120],"descent,":[121],"aggregates":[123],"multiple":[124],"gradients":[125],"into":[126],"direction":[128],"does":[130],"not":[131],"conflict.":[132],"Our":[133],"results":[134],"demonstrate":[135],"RAUL":[137],"achieves":[138],"closest":[140],"gap":[141],"compared":[142],"full":[144],"retraining.":[145]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}