{"id":"https://openalex.org/W4402345656","doi":"https://doi.org/10.48550/arxiv.2407.12240","title":"Adaptive Cascading Network for Continual Test-Time Adaptation","display_name":"Adaptive Cascading Network for Continual Test-Time Adaptation","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4402345656","doi":"https://doi.org/10.48550/arxiv.2407.12240"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.12240","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12240","pdf_url":"https://arxiv.org/pdf/2407.12240","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.12240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113373198","display_name":"Kien X. Nguyen","orcid":"https://orcid.org/0009-0002-6470-7278"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nguyen, Kien X.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107077542","display_name":"Fengchun Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiao, Fengchun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022800038","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0002-5727-2790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Xi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113373198"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9688000082969666,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9688000082969666,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9419999718666077,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9103999733924866,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7067844867706299},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.599534809589386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49846768379211426},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14060276746749878},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.10446938872337341},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09809952974319458},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06780064105987549}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7067844867706299},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.599534809589386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49846768379211426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14060276746749878},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.10446938872337341},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09809952974319458},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06780064105987549}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.12240","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12240","pdf_url":"https://arxiv.org/pdf/2407.12240","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.12240","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.12240","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.12240","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.12240","pdf_url":"https://arxiv.org/pdf/2407.12240","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4476323318","display_name":"CAREER: Advancing Trustworthy Machine Learning for Distributed Scientific Data Analytics","funder_award_id":"2340074","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7320824963","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402345656.pdf","grobid_xml":"https://content.openalex.org/works/W4402345656.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"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/W4395014643"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,9,40,48,56,62,78,87,109,112,122,142,156],"problem":[3],"of":[4,21,55,67,98,124,158,164],"continual":[5],"test-time":[6,31],"adaption":[7],"where":[8],"goal":[10],"is":[11,101],"to":[12,18,58,61,139],"adapt":[13,60],"a":[14,19,72,104,162],"source":[15],"pre-trained":[16],"model":[17,94,100],"sequence":[20],"unlabelled":[22,126],"target":[23],"domains":[24],"at":[25,83],"test":[26,84],"time.":[27],"Existing":[28],"methods":[29],"on":[30],"training":[32],"suffer":[33],"from":[34],"several":[35],"limitations:":[36],"(1)":[37],"Mismatch":[38],"between":[39,47,89,111],"feature":[41,79],"extractor":[42,80],"and":[43,50,81,91,114,117,136,152,171],"classifier;":[44],"(2)":[45],"Interference":[46],"main":[49,113],"self-supervised":[51,115],"tasks;":[52],"(3)":[53],"Lack":[54],"ability":[57],"quickly":[59],"current":[63],"distribution.":[64],"In":[65],"light":[66],"these":[68],"challenges,":[69],"we":[70,129],"propose":[71],"cascading":[73],"paradigm":[74],"that":[75],"simultaneously":[76],"updates":[77],"classifier":[82],"time,":[85],"mitigating":[86],"mismatch":[88],"them":[90],"enabling":[92],"long-term":[93],"adaptation.":[95],"The":[96],"pre-training":[97],"our":[99,159],"structured":[102],"within":[103],"meta-learning":[105],"framework,":[106],"thereby":[107],"minimizing":[108],"interference":[110],"tasks":[116,165],"encouraging":[118],"fast":[119],"adaptation":[120,144],"in":[121,146,161],"presence":[123],"limited":[125],"data.":[127],"Additionally,":[128],"introduce":[130],"innovative":[131],"evaluation":[132],"metrics,":[133],"average":[134],"accuracy":[135],"forward":[137],"transfer,":[138],"effectively":[140],"measure":[141],"model's":[143],"capabilities":[145],"dynamic,":[147],"real-world":[148],"scenarios.":[149],"Extensive":[150],"experiments":[151],"ablation":[153],"studies":[154],"demonstrate":[155],"superiority":[157],"approach":[160],"range":[163],"including":[166],"image":[167],"classification,":[168,170],"text":[169],"speech":[172],"recognition.":[173]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}