{"id":"https://openalex.org/W7166571340","doi":"https://doi.org/10.48550/arxiv.2606.28142","title":"MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation","display_name":"MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166571340","doi":"https://doi.org/10.48550/arxiv.2606.28142"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28142","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28142","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":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.2606.28142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139627598","display_name":"Mansoo Jung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung, Mansoo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139551026","display_name":"Youngwook Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Youngwook","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139570524","display_name":"Jungwoo Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Jungwoo","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":0.21240000426769257,"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":0.21240000426769257,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.13580000400543213,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.05169999971985817,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.761900007724762},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7071999907493591},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.542900025844574},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.46389999985694885},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.454800009727478},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.43549999594688416}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.761900007724762},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7071999907493591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957000255584717},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5078999996185303},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.454800009727478},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2992999851703644},{"id":"https://openalex.org/C161666082","wikidata":"https://www.wikidata.org/wiki/Q14551923","display_name":"Oblique projection","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29179999232292175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28142","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28142","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":"doi:10.48550/arxiv.2606.28142","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28142","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Test-Time":[0],"Adaptation":[1],"(TTA)":[2],"methods":[3],"commonly":[4],"update":[5],"the":[6,70,87],"affine":[7,21,89],"parameters":[8,22],"of":[9,32],"normalization":[10,54],"layers":[11,55],"to":[12],"adapt":[13],"deployed":[14],"models":[15],"under":[16,99,132],"distribution":[17,39],"shifts.":[18],"However,":[19],"per-channel":[20],"perform":[23],"axis-aligned":[24],"scaling":[25],"and":[26,118],"shifting,":[27],"making":[28],"them":[29],"geometrically":[30],"incapable":[31],"correcting":[33],"cross-channel":[34,59,75],"structural":[35],"changes":[36],"induced":[37],"by":[38],"shift.":[40],"To":[41,67],"address":[42],"this":[43],"limitation,":[44],"we":[45,77],"propose":[46,79],"MixTTA,":[47],"a":[48,57],"lightweight":[49],"plug-in":[50],"module":[51],"that":[52,69,82,95],"equips":[53],"with":[56,92],"low-rank":[58,71],"transformation,":[60],"enabling":[61],"inter-channel":[62],"mixing":[63],"at":[64,141],"each":[65],"layer.":[66],"ensure":[68],"branch":[72],"captures":[73],"only":[74],"interactions,":[76],"also":[78],"Decoupling":[80],"Projection":[81,94],"enforces":[83],"strict":[84],"separation":[85],"from":[86],"diagonal":[88],"path,":[90],"along":[91],"Spectral":[93],"prevents":[96],"rank-1":[97],"collapse":[98],"non-stationary":[100],"test":[101],"streams.":[102],"MixTTA":[103],"can":[104],"be":[105],"seamlessly":[106],"integrated":[107],"into":[108],"any":[109],"existing":[110],"normalization-based":[111],"TTA":[112,120],"method.":[113],"Experiments":[114],"in":[115],"both":[116],"standard":[117],"wild":[119],"settings":[121],"show":[122],"consistent":[123],"improvements":[124],"over":[125],"strong":[126],"baselines":[127],"while":[128],"mitigating":[129],"adaptation":[130],"failure":[131],"challenging":[133],"conditions.":[134],"The":[135],"source":[136],"code":[137],"is":[138],"publicly":[139],"available":[140],"https://github.com/delta6189/MixTTA.":[142]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-30T00:00:00"}
