{"id":"https://openalex.org/W7128358842","doi":"https://doi.org/10.48550/arxiv.2602.06924","title":"Robustness Beyond Known Groups with Low-rank Adaptation","display_name":"Robustness Beyond Known Groups with Low-rank Adaptation","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128358842","doi":"https://doi.org/10.48550/arxiv.2602.06924"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06924","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125409691","display_name":"Abinitha Gourabathina","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gourabathina, Abinitha","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125406600","display_name":"Hyewon Jeong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Hyewon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125401887","display_name":"Teya Bergamaschi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bergamaschi, Teya","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ghassemi, Marzyeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghassemi, Marzyeh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125429626","display_name":"Collin Stultz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stultz, Collin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5125409691"],"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.3386000096797943,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.3386000096797943,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.3303999900817871,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.06019999831914902,"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/subspace-topology","display_name":"Subspace topology","score":0.7994999885559082},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7598000168800354},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5152999758720398},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.45660001039505005},{"id":"https://openalex.org/keywords/knowledge-space","display_name":"Knowledge space","score":0.3319000005722046},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.2985000014305115}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7994999885559082},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7598000168800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279000043869019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5867000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824999809265137},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5152999758720398},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C2777348039","wikidata":"https://www.wikidata.org/wiki/Q6423397","display_name":"Knowledge space","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06924","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06924","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06924","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"trained":[3],"to":[4,96,104,166],"optimize":[5],"average":[6],"accuracy":[7],"often":[8],"exhibit":[9],"systematic":[10],"failures":[11],"on":[12,40],"particular":[13],"subpopulations.":[14],"In":[15],"real":[16],"world":[17],"settings,":[18,154],"the":[19,33,86,105,115],"subpopulations":[20],"most":[21],"affected":[22],"by":[23,80],"such":[24],"disparities":[25],"are":[26,38],"frequently":[27],"unlabeled":[28],"or":[29,62,117],"unknown,":[30],"thereby":[31],"motivating":[32],"development":[34],"of":[35,54,136,142,149],"methods":[36,49],"that":[37,76],"performant":[39],"sensitive":[41],"subgroups":[42],"without":[43,113],"being":[44],"pre-specified.":[45],"However,":[46],"existing":[47],"group-robust":[48],"typically":[50],"assume":[51],"prior":[52],"knowledge":[53,135,141,148],"relevant":[55],"subgroups,":[56],"using":[57],"group":[58,78,119,127],"annotations":[59],"for":[60],"training":[61],"model":[63,90],"selection.":[64],"We":[65],"propose":[66],"Low-rank":[67],"Error":[68],"Informed":[69],"Adaptation":[70],"(LEIA),":[71],"a":[72,82,101],"simple":[73],"two-stage":[74],"method":[75],"improves":[77,157],"robustness":[79,128],"identifying":[81],"low-dimensional":[83],"subspace":[84,99],"in":[85],"representation":[87],"space":[88],"where":[89],"errors":[91],"concentrate.":[92],"LEIA":[93,155],"restricts":[94],"adaptation":[95],"this":[97],"error-informed":[98],"via":[100],"low-rank":[102],"adjustment":[103],"classifier":[106],"logits,":[107],"directly":[108],"targeting":[109],"latent":[110],"failure":[111],"modes":[112],"modifying":[114],"backbone":[116],"requiring":[118],"labels.":[120],"Using":[121],"five":[122],"real-world":[123],"datasets,":[124],"we":[125],"analyze":[126],"under":[129],"three":[130],"settings:":[131],"(1)":[132],"truly":[133],"no":[134],"subgroup":[137,143,150],"relevance,":[138,144],"(2)":[139],"partial":[140],"and":[145,164],"(3)":[146],"full":[147],"relevance.":[151],"Across":[152],"all":[153],"consistently":[156],"worst-group":[158],"performance":[159],"while":[160],"remaining":[161],"fast,":[162],"parameter-efficient,":[163],"robust":[165],"hyperparameter":[167],"choice.":[168]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-10T00:00:00"}