{"id":"https://openalex.org/W4406495580","doi":"https://doi.org/10.1109/bigdata62323.2024.10825441","title":"MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning","display_name":"MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406495580","doi":"https://doi.org/10.1109/bigdata62323.2024.10825441"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084655249","display_name":"Haoliang Wang","orcid":"https://orcid.org/0000-0002-5012-9625"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoliang Wang","raw_affiliation_strings":["The University of Texas at Dallas,Department of Computer Science,Richardson,Texas,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas,Department of Computer Science,Richardson,Texas,USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767050","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0002-6400-0048"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["Baylor University,Department of Computer Science,Waco,Texas,USA"],"affiliations":[{"raw_affiliation_string":"Baylor University,Department of Computer Science,Waco,Texas,USA","institution_ids":["https://openalex.org/I157394403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352703","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-4508-5963"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["The University of Texas at Dallas,Department of Computer Science,Richardson,Texas,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas,Department of Computer Science,Richardson,Texas,USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084655249"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70897433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1134","last_page":"1143"},"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":0.9984999895095825,"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":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9807000160217285,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9387999773025513,"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/computer-science","display_name":"Computer science","score":0.6189385652542114},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5012407302856445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4862038493156433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14365071058273315},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07599848508834839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189385652542114},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5012407302856445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862038493156433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14365071058273315},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07599848508834839},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2031342017","https://openalex.org/W2194775991","https://openalex.org/W2531327146","https://openalex.org/W2763549966","https://openalex.org/W2883386984","https://openalex.org/W2963384319","https://openalex.org/W2963693742","https://openalex.org/W2963890275","https://openalex.org/W2990138404","https://openalex.org/W2996823446","https://openalex.org/W3092928935","https://openalex.org/W3123350987","https://openalex.org/W3133542152","https://openalex.org/W3163842339","https://openalex.org/W3179233662","https://openalex.org/W3194502144","https://openalex.org/W4225763237","https://openalex.org/W4230674625","https://openalex.org/W4281492493","https://openalex.org/W4283331889","https://openalex.org/W4287728573","https://openalex.org/W4288287305","https://openalex.org/W4289258965","https://openalex.org/W4289639938","https://openalex.org/W4297573953","https://openalex.org/W4312774735","https://openalex.org/W4385568133","https://openalex.org/W4386065840","https://openalex.org/W4386075807","https://openalex.org/W4387847690","https://openalex.org/W4390873205","https://openalex.org/W4390873652","https://openalex.org/W4399929809","https://openalex.org/W4402353822","https://openalex.org/W4404305152","https://openalex.org/W6637618735","https://openalex.org/W6728622933","https://openalex.org/W6733645847","https://openalex.org/W6745553787","https://openalex.org/W6745891213","https://openalex.org/W6751494907","https://openalex.org/W6752760542","https://openalex.org/W6754038005","https://openalex.org/W6765285020","https://openalex.org/W6772045000","https://openalex.org/W6780233385","https://openalex.org/W6784247468","https://openalex.org/W6784323503","https://openalex.org/W6785214881","https://openalex.org/W6787668776","https://openalex.org/W6791503542","https://openalex.org/W6803588324","https://openalex.org/W6838999114","https://openalex.org/W6853349389","https://openalex.org/W6873738729"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Real-world":[0],"machine":[1],"learning":[2,84],"applications":[3],"often":[4],"face":[5],"simultaneous":[6],"covariate":[7,160],"and":[8,15,40,46,125,161],"semantic":[9,133,162],"shifts,":[10],"challenging":[11],"traditional":[12],"domain":[13],"generalization":[14],"out-of-distribution":[16],"(OOD)":[17],"detection":[18,48,135],"methods.":[19],"We":[20],"introduce":[21],"Meta-learned":[22],"Across":[23],"Domain":[24],"Out-of-distribution":[25],"Detection":[26],"(MADOD),":[27],"a":[28,99,154],"novel":[29],"framework":[30],"designed":[31],"to":[32,42,145],"address":[33],"both":[34,159],"shifts":[35],"concurrently.":[36],"MADOD":[37,103],"leverages":[38],"meta-learning":[39,68],"G-invariance":[41],"enhance":[43],"model":[44],"generalizability":[45],"OOD":[47,71,95,134],"in":[49,56,98,132,157],"unseen":[50,137],"domains.":[51],"Our":[52],"key":[53],"innovation":[54],"lies":[55],"task":[57],"construction:":[58],"we":[59],"randomly":[60],"designate":[61],"in-distribution":[62,150],"classes":[63],"as":[64],"pseudo-OODs":[65],"within":[66],"each":[67],"task,":[69],"simulating":[70],"scenarios":[72,115],"using":[73],"existing":[74],"data.":[75],"This":[76],"approach,":[77],"combined":[78],"with":[79],"energy-based":[80],"regularization,":[81],"enables":[82],"the":[83,105],"of":[85,143],"robust,":[86],"domain-invariant":[87],"features":[88],"while":[89,147],"calibrating":[90],"decision":[91],"boundaries":[92],"for":[93,107,114],"effective":[94],"detection.":[96],"Operating":[97],"test":[100,117],"domain-agnostic":[101],"setting,":[102],"eliminates":[104],"need":[106],"adaptation":[108],"during":[109],"inference,":[110],"making":[111],"it":[112],"suitable":[113],"where":[116],"data":[118],"is":[119],"unavailable.":[120],"Extensive":[121],"experiments":[122],"on":[123],"real-world":[124],"synthetic":[126],"datasets":[127],"demonstrate":[128],"MADOD\u2019s":[129],"superior":[130],"performance":[131],"across":[136],"domains,":[138],"achieving":[139],"an":[140],"AUPR":[141],"improvement":[142],"8.48%":[144],"20.81%,":[146],"maintaining":[148],"competitive":[149],"classification":[151],"accuracy,":[152],"representing":[153],"significant":[155],"advancement":[156],"handling":[158],"shifts.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
