{"id":"https://openalex.org/W4413155014","doi":"https://doi.org/10.1109/access.2025.3597980","title":"NAS-DG: Ultra-Fast NAS via Uncertainty Modeling for Domain Generalization","display_name":"NAS-DG: Ultra-Fast NAS via Uncertainty Modeling for Domain Generalization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413155014","doi":"https://doi.org/10.1109/access.2025.3597980"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3597980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597980","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3597980","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080742303","display_name":"Keigo Wakayama","orcid":"https://orcid.org/0009-0008-6663-845X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keigo Wakayama","raw_affiliation_strings":["Department of Mathematical and Computing Science, Institute of Science Tokyo, Meguro-ku, Tokyo, Japan","Department of Mathematical and Computing Science, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0008-6663-845X","affiliations":[{"raw_affiliation_string":"Department of Mathematical and Computing Science, Institute of Science Tokyo, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Mathematical and Computing Science, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":null,"display_name":"Takafumi Kanamori","orcid":"https://orcid.org/0000-0002-2918-1832"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takafumi Kanamori","raw_affiliation_strings":["Department of Mathematical and Computing Science, Institute of Science Tokyo, Meguro-ku, Tokyo, Japan","Department of Mathematical and Computing Science, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2918-1832","affiliations":[{"raw_affiliation_string":"Department of Mathematical and Computing Science, Institute of Science Tokyo, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Mathematical and Computing Science, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10026749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"142829","last_page":"142843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.5163999795913696,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.5163999795913696,"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/T10320","display_name":"Neural Networks and Applications","score":0.4819999933242798,"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":0.4733000099658966,"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/computer-science","display_name":"Computer science","score":0.6391733884811401},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5934976935386658},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4836789071559906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14919960498809814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391733884811401},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5934976935386658},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4836789071559906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14919960498809814},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3597980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597980","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:acbe1014ff014bfab184d5fda8be357d","is_oa":true,"landing_page_url":"https://doaj.org/article/acbe1014ff014bfab184d5fda8be357d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 142829-142843 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3597980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3597980","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1208557831","display_name":null,"funder_award_id":"23H03460","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5251802663","display_name":null,"funder_award_id":"19H04071","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G7024629317","display_name":null,"funder_award_id":"23H03460","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G7615765131","display_name":"Statistical Learning with feature extraction and information integration  of High-dimensional, large-scale, multi-domain data","funder_award_id":"19H04071","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7666424968","display_name":"Innovative Developments of Theories and Methodologies for Large Complex Data","funder_award_id":"20H00576","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8075671056","display_name":null,"funder_award_id":"20H00576","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2161388792","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2603777577","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2892341857","https://openalex.org/W2912322140","https://openalex.org/W2946547492","https://openalex.org/W2960010704","https://openalex.org/W2963446712","https://openalex.org/W2965658867","https://openalex.org/W3033161486","https://openalex.org/W3133542152","https://openalex.org/W3164008977","https://openalex.org/W3169336656","https://openalex.org/W3196660344","https://openalex.org/W3198843987","https://openalex.org/W4214513763","https://openalex.org/W4287660544","https://openalex.org/W4289639938","https://openalex.org/W4311415873","https://openalex.org/W4312252361","https://openalex.org/W4312257891","https://openalex.org/W4312617935","https://openalex.org/W4312943213","https://openalex.org/W4386083080","https://openalex.org/W4388629053","https://openalex.org/W4390874802","https://openalex.org/W4391428900","https://openalex.org/W4392903392","https://openalex.org/W4394625858","https://openalex.org/W4396523227","https://openalex.org/W4401691864","https://openalex.org/W4403122982","https://openalex.org/W4403294840","https://openalex.org/W6740164494","https://openalex.org/W6745136726","https://openalex.org/W6752515464","https://openalex.org/W6757204547","https://openalex.org/W6766225098","https://openalex.org/W6766978945","https://openalex.org/W6769344749","https://openalex.org/W6769777658","https://openalex.org/W6779024865","https://openalex.org/W6779348065","https://openalex.org/W6779405660","https://openalex.org/W6784343995","https://openalex.org/W6788713141","https://openalex.org/W6790297421","https://openalex.org/W6794339910","https://openalex.org/W6796973776","https://openalex.org/W6800605685","https://openalex.org/W6802728948","https://openalex.org/W6810310701","https://openalex.org/W6810790459","https://openalex.org/W6843958178","https://openalex.org/W6849312621","https://openalex.org/W6861671548","https://openalex.org/W6862253191","https://openalex.org/W6875911275"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3162204513","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Designing":[0],"neural":[1],"network":[2],"architectures":[3],"manually":[4],"is":[5,75],"time-consuming":[6],"and":[7,16,70,124,140,152,180],"labor-intensive":[8],"when":[9],"applying":[10],"deep":[11],"learning":[12],"to":[13,25,48,163,176],"various":[14],"tasks":[15],"datasets.":[17],"Neural":[18],"architecture":[19,116],"search":[20,68,86,170],"(NAS)":[21],"has":[22],"been":[23,46],"proposed":[24],"automate":[26],"this":[27,93],"process,":[28],"but":[29,55],"existing":[30,164],"methods":[31,41,167],"mainly":[32],"aim":[33],"at":[34],"improving":[35],"generalization":[36,142,166],"on":[37,52,146],"in-distribution":[38],"data.":[39],"NAS":[40,81,99,109],"for":[42,78,101],"out-of-distribution":[43],"data":[44,122],"have":[45],"developed":[47],"address":[49],"performance":[50],"degradation":[51],"unseen":[53],"domains,":[54],"they":[56],"require":[57],"training":[58],"large":[59],"super-networks":[60],"during":[61,128],"the":[62],"search,":[63],"which":[64],"results":[65],"in":[66],"long":[67],"times":[69],"high":[71,90],"computational":[72],"costs.":[73],"There":[74],"a":[76,97,134],"need":[77],"an":[79],"efficient":[80],"method":[82,100,105,139,157],"that":[83,155],"can":[84],"reduce":[85],"time":[87,171],"while":[88,168],"maintaining":[89],"performance.":[91],"In":[92,130],"work,":[94],"we":[95,132],"propose":[96],"training-free":[98],"domain":[102,141,165],"generalization.":[103],"Our":[104],"extends":[106],"zero-cost":[107],"proxy-based":[108],"by":[110],"incorporating":[111],"uncertainty":[112],"modeling.":[113],"We":[114],"compute":[115],"scores":[117],"using":[118,181],"autoencoders":[119],"with":[120],"uncertainty-based":[121],"augmentation":[123,127],"apply":[125],"feature":[126],"training.":[129],"addition,":[131],"provide":[133],"theoretical":[135],"connection":[136],"between":[137],"our":[138,156],"error":[143],"bounds.":[144],"Experiments":[145],"standard":[147],"benchmarks,":[148],"including":[149],"PACS,":[150],"Office-Home,":[151],"NICO,":[153],"show":[154],"achieves":[158],"comparable":[159],"or":[160],"superior":[161],"accuracy":[162],"reducing":[169],"from":[172],"over":[173],"one":[174],"hour":[175],"under":[177],"ten":[178],"minutes":[179],"fewer":[182],"parameters.":[183]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
