{"id":"https://openalex.org/W4385767717","doi":"https://doi.org/10.24963/ijcai.2023/458","title":"RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation","display_name":"RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767717","doi":"https://doi.org/10.24963/ijcai.2023/458"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/458","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/458","pdf_url":"https://www.ijcai.org/proceedings/2023/0458.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0458.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030729488","display_name":"Qucheng Peng","orcid":"https://orcid.org/0000-0002-0311-6135"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qucheng Peng","raw_affiliation_strings":["University of Central Florida","Center for Research in Computer Vision, University of Central Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083458247","display_name":"Zhengming Ding","orcid":"https://orcid.org/0000-0002-6994-5278"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengming Ding","raw_affiliation_strings":["Tulane University","Department of Computer Science, Tulane University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Department of Computer Science, Tulane University","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052577882","display_name":"Lingjuan Lyu","orcid":"https://orcid.org/0000-0003-3170-4994"},"institutions":[{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingjuan Lyu","raw_affiliation_strings":["Sony AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony AI","institution_ids":["https://openalex.org/I2800278093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015105117","display_name":"Lichao Sun","orcid":"https://orcid.org/0000-0003-1539-7939"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lichao Sun","raw_affiliation_strings":["Lehigh University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418410","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-1251-7643"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["University of Central Florida","Center for Research in Computer Vision, University of Central Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7737,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92236446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4118","last_page":"4126"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9179999828338623,"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/overfitting","display_name":"Overfitting","score":0.8433790802955627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883009910583496},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6240306496620178},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6204006671905518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.530090868473053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48038893938064575},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4432772696018219},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32765844464302063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22883859276771545},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12324890494346619}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8433790802955627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883009910583496},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6240306496620178},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6204006671905518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.530090868473053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48038893938064575},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4432772696018219},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32765844464302063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22883859276771545},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12324890494346619},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/458","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/458","pdf_url":"https://www.ijcai.org/proceedings/2023/0458.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/458","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/458","pdf_url":"https://www.ijcai.org/proceedings/2023/0458.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767717.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W1821462560","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2408201877","https://openalex.org/W2523246573","https://openalex.org/W2627183927","https://openalex.org/W2765407302","https://openalex.org/W2766897166","https://openalex.org/W2771773135","https://openalex.org/W2786808285","https://openalex.org/W2944223741","https://openalex.org/W2954996726","https://openalex.org/W2962687275","https://openalex.org/W2964278684","https://openalex.org/W2970971581","https://openalex.org/W2992308087","https://openalex.org/W2994994863","https://openalex.org/W3007769536","https://openalex.org/W3010819564","https://openalex.org/W3015884347","https://openalex.org/W3034218934","https://openalex.org/W3034526587","https://openalex.org/W3034957837","https://openalex.org/W3035294798","https://openalex.org/W3035519852","https://openalex.org/W3038143563","https://openalex.org/W3094502228","https://openalex.org/W3095697905","https://openalex.org/W3119052102","https://openalex.org/W3120575095","https://openalex.org/W3135856195","https://openalex.org/W3169044395","https://openalex.org/W3172748299","https://openalex.org/W3173251459","https://openalex.org/W3198125731","https://openalex.org/W3203098462","https://openalex.org/W3216069188","https://openalex.org/W4288024349","https://openalex.org/W4295312788","https://openalex.org/W4298857601","https://openalex.org/W4312283073","https://openalex.org/W4312365002","https://openalex.org/W4320013936","https://openalex.org/W6639480849","https://openalex.org/W6791858558","https://openalex.org/W6793435965","https://openalex.org/W6803771590","https://openalex.org/W6863631769","https://openalex.org/W6863994431","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W4297676672","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919","https://openalex.org/W2565214228"],"abstract_inverted_index":{"Source-Free":[0],"domain":[1,9,64,90,158,183],"adaptation":[2,91],"transits":[3],"the":[4,12,40,44,51,62,99,116,140,144,156],"source-trained":[5],"model":[6],"towards":[7],"target":[8,126,141,146,162],"without":[10],"exposing":[11],"source":[13,41,54,63,69,157],"data,":[14],"trying":[15],"to":[16,36,49,68,136,143],"dispel":[17],"these":[18],"concerns":[19],"about":[20],"data":[21,33,105],"privacy":[22],"and":[23,86,95,122,180],"security.":[24],"However,":[25],"this":[26,74],"paradigm":[27],"is":[28],"still":[29,57],"at":[30],"risk":[31],"of":[32,53],"leakage":[34],"due":[35,67],"adversarial":[37],"attacks":[38],"on":[39,61,84,155,173],"model.":[42],"Hence,":[43],"Black-Box":[45,89],"setting":[46],"only":[47],"allows":[48],"use":[50],"outputs":[52],"model,":[55],"but":[56],"suffers":[58],"from":[59,92,139],"overfitting":[60,154],"more":[65],"severely":[66],"model's":[70],"unseen":[71],"weights.":[72],"In":[73],"paper,":[75],"we":[76,101,130],"propose":[77],"a":[78,103,132],"novel":[79],"approach":[80],"named":[81],"RAIN":[82],"(RegulArization":[83],"Input":[85],"Network)":[87],"for":[88,125],"both":[93,178],"input-level":[94,120],"network-level":[96],"regularization.":[97],"For":[98,128],"input-level,":[100],"design":[102],"new":[104],"augmentation":[106],"technique":[107],"as":[108],"Phase":[109],"MixUp,":[110],"which":[111,151],"highlights":[112],"task-relevant":[113],"objects":[114],"in":[115],"interpolations,":[117],"thus":[118,152],"enhancing":[119],"regularization":[121],"class":[123],"consistency":[124],"models.":[127],"network-level,":[129],"develop":[131],"Subnetwork":[133],"Distillation":[134],"mechanism":[135],"transfer":[137],"knowledge":[138,149],"subnetwork":[142],"full":[145],"network":[147],"via":[148],"distillation,":[150],"alleviates":[153],"by":[159],"learning":[160],"diverse":[161],"representations.":[163],"Extensive":[164],"experiments":[165],"show":[166],"that":[167],"our":[168],"method":[169],"achieves":[170],"state-of-the-art":[171],"performance":[172],"several":[174],"cross-domain":[175],"benchmarks":[176],"under":[177],"single-":[179],"multi-source":[181],"black-box":[182],"adaptation.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-08-12T00:00:00"}
