{"id":"https://openalex.org/W4414577908","doi":"https://doi.org/10.1109/wacv61042.2026.00223","title":"1LoRa: Summation Compression for Very Low-Rank Adaptation","display_name":"1LoRa: Summation Compression for Very Low-Rank Adaptation","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4414577908","doi":"https://doi.org/10.1109/wacv61042.2026.00223"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://pure.au.dk/portal/en/publications/cbfc64a8-a856-4751-ae7e-22f82315ad38","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012035871","display_name":"Alessio Quercia","orcid":null},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alessio Quercia","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753884","display_name":"Zhuo Cao","orcid":"https://orcid.org/0000-0002-9911-7713"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhuo Cao","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115705077","display_name":"Arya Bangun","orcid":null},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arya Bangun","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114211544","display_name":"Richard D. Paul","orcid":null},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard D. Paul","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073083912","display_name":"Abigail Morrison","orcid":"https://orcid.org/0000-0001-6933-797X"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abigail Morrison","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-6,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-6,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104360871","display_name":"Ira Assent","orcid":"https://orcid.org/0000-0002-1091-9948"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ira Assent","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058673315","display_name":"Hanno Scharr","orcid":"https://orcid.org/0000-0002-8555-6416"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanno Scharr","raw_affiliation_strings":["Forschungszentrum Juelich,IAS-8,Juelich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forschungszentrum Juelich,IAS-8,Juelich,Germany","institution_ids":["https://openalex.org/I171892758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I171892758"],"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":"2253","last_page":"2262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.8108000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10860","display_name":"Speech and Audio Processing","score":0.7809000015258789,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/memory-footprint","display_name":"Memory footprint","score":0.6779999732971191},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6657000184059143},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5216000080108643},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4399000108242035},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700000047683716},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3693000078201294},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.35179999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898000240325928},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6779999732971191},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6657000184059143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.527400016784668},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5216000080108643},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912000060081482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.329800009727478},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.3077000081539154},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25850000977516174}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wacv61042.2026.00223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/cbfc64a8-a856-4751-ae7e-22f82315ad38","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/cbfc64a8-a856-4751-ae7e-22f82315ad38","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quercia, A, Cao, Z, Bangun, A, Paul, R D, Morrison, A, Assent, I & Scharr, H 2026, 1LoRa : Summation Compression for Very Low-Rank Adaptation. in Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. IEEE, Proceedings - IEEE Workshop on Applications of Computer Vision (WACV), pp. 2253-2262, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, United States, 06/03/2026. https://doi.org/10.1109/WACV61042.2026.00223","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:2503.08333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08333","pdf_url":"https://arxiv.org/pdf/2503.08333","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.08333","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.08333","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":"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":"pmh:oai:pure.atira.dk:openaire/cbfc64a8-a856-4751-ae7e-22f82315ad38","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/cbfc64a8-a856-4751-ae7e-22f82315ad38","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quercia, A, Cao, Z, Bangun, A, Paul, R D, Morrison, A, Assent, I & Scharr, H 2026, 1LoRa : Summation Compression for Very Low-Rank Adaptation. in Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. IEEE, Proceedings - IEEE Workshop on Applications of Computer Vision (WACV), pp. 2253-2262, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, United States, 06/03/2026. https://doi.org/10.1109/WACV61042.2026.00223","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Parameter-Efficient":[0],"Fine-Tuning":[1],"(PEFT)":[2],"methods":[3,90,121],"have":[4],"transformed":[5],"the":[6,17,26,35,43,73,95,106,110],"approach":[7],"to":[8,146,153],"fine-tuning":[9,69,124],"large":[10],"models":[11],"for":[12,51],"downstream":[13],"tasks":[14],"by":[15],"enabling":[16],"adjustment":[18],"of":[19,46,160],"significantly":[20],"fewer":[21,101],"parameters":[22,47,102],"than":[23],"those":[24],"in":[25],"original":[27],"model":[28],"matrices.":[29],"In":[30],"this":[31],"work,":[32],"we":[33,41],"study":[34],"\"very":[36],"low":[37],"rank":[38],"regime\",":[39],"where":[40],"fine-tune":[42,154],"lowest":[44],"amount":[45],"per":[48,103],"linear":[49],"layer":[50],"each":[52],"considered":[53],"PEFT":[54,89,120],"method.":[55],"We":[56,113],"propose":[57],"${1\\!{\\text":[58,98,150],"{I}}}{\\text{LoRa}}$":[59,99,151],"(Summation":[60],"Low-Rank":[61],"Adaptation),":[62],"a":[63,80],"compute,":[64],"parameter":[65],"and":[66,79,94,109,126,141],"memory":[67,107,140,148],"efficient":[68],"method":[70,117,130],"which":[71],"uses":[72,100],"feature":[74],"sum":[75],"as":[76,84],"fixed":[77],"compression":[78],"single":[81],"trainable":[82],"vector":[83],"decompression.":[85],"Differently":[86],"from":[87],"state-of-the-art":[88,119],"like":[91],"LoRA,":[92],"VeRA,":[93],"recent":[96],"MoRA,":[97],"layer,":[104],"reducing":[105],"footprint":[108],"computational":[111],"cost.":[112],"extensively":[114],"evaluate":[115],"our":[116,129],"against":[118],"on":[122,162],"multiple":[123],"tasks,":[125],"show":[127],"that":[128],"not":[131],"only":[132],"outperforms":[133],"them,":[134],"but":[135],"is":[136],"also":[137],"more":[138,155],"parameter,":[139],"computationally":[142],"efficient.":[143],"Moreover,":[144],"thanks":[145],"its":[147],"efficiency,":[149],"allows":[152],"evenly":[156],"across":[157],"layers,":[158],"instead":[159],"focusing":[161],"specific":[163],"ones":[164],"(e.g.":[165],"attention":[166],"layers),":[167],"improving":[168],"performance":[169],"further.":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}