{"id":"https://openalex.org/W3201069540","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533346","title":"Debiased Prototype Network for Adversarial Domain Adaptation","display_name":"Debiased Prototype Network for Adversarial Domain Adaptation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201069540","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533346","mag":"3201069540"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5074104093","display_name":"Chunwei Wu","orcid":"https://orcid.org/0000-0001-6209-3714"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunwei Wu","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027627793","display_name":"Guitao Cao","orcid":"https://orcid.org/0000-0002-4059-4806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]},{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["College of Information Engineering Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035053697","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-6938-9507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Ninth Research Office Shanghai Research Institute of Microwave Equipment, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ninth Research Office Shanghai Research Institute of Microwave Equipment, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103077744","display_name":"He Ren","orcid":"https://orcid.org/0000-0002-0738-1737"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Ren","raw_affiliation_strings":["Ninth Research Office Shanghai Research Institute of Microwave Equipment, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ninth Research Office Shanghai Research Institute of Microwave Equipment, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074104093"],"corresponding_institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5522829,"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":"1","last_page":"8"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9606999754905701,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9352999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867217063903809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856571197509766},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5349346995353699},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.534029483795166},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"Negative transfer","score":0.526168704032898},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4915538728237152},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4695822596549988},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.45109060406684875},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4477868676185608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4259773790836334},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.11099618673324585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09765133261680603},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07101079821586609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867217063903809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856571197509766},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5349346995353699},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.534029483795166},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.526168704032898},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4915538728237152},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4695822596549988},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.45109060406684875},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4477868676185608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4259773790836334},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.11099618673324585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09765133261680603},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07101079821586609},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6159160774","display_name":null,"funder_award_id":"61871186,61771322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W189742998","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1821462560","https://openalex.org/W1882958252","https://openalex.org/W2099471712","https://openalex.org/W2117539524","https://openalex.org/W2145494108","https://openalex.org/W2149466042","https://openalex.org/W2153929442","https://openalex.org/W2155541015","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2279034837","https://openalex.org/W2293363371","https://openalex.org/W2592141621","https://openalex.org/W2600537992","https://openalex.org/W2601450892","https://openalex.org/W2627183927","https://openalex.org/W2748075849","https://openalex.org/W2782645198","https://openalex.org/W2788768841","https://openalex.org/W2795155917","https://openalex.org/W2798681837","https://openalex.org/W2798991696","https://openalex.org/W2884771968","https://openalex.org/W2904706552","https://openalex.org/W2905471643","https://openalex.org/W2913171473","https://openalex.org/W2962723986","https://openalex.org/W2962808524","https://openalex.org/W2962947361","https://openalex.org/W2963217615","https://openalex.org/W2963240485","https://openalex.org/W2963275094","https://openalex.org/W2963314614","https://openalex.org/W2963826681","https://openalex.org/W2964278684","https://openalex.org/W2965954137","https://openalex.org/W2966145398","https://openalex.org/W2970427421","https://openalex.org/W2979920800","https://openalex.org/W2982204955","https://openalex.org/W2990230185","https://openalex.org/W3009033475","https://openalex.org/W3018953709","https://openalex.org/W3020943070","https://openalex.org/W3022590536","https://openalex.org/W3034683711","https://openalex.org/W3034726363","https://openalex.org/W3034738317","https://openalex.org/W3035480894","https://openalex.org/W3098404559","https://openalex.org/W3098880233","https://openalex.org/W3108878460","https://openalex.org/W4293478066","https://openalex.org/W4294375521","https://openalex.org/W4320013936","https://openalex.org/W6600949241","https://openalex.org/W6607672814","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6638523607","https://openalex.org/W6639480849","https://openalex.org/W6681588610","https://openalex.org/W6681637710","https://openalex.org/W6682658890","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6685415078","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6734074887","https://openalex.org/W6734335776","https://openalex.org/W6735236233","https://openalex.org/W6746282794","https://openalex.org/W6748805638","https://openalex.org/W6750109254","https://openalex.org/W6751281049","https://openalex.org/W6759395528","https://openalex.org/W6762573117","https://openalex.org/W6774187218","https://openalex.org/W6781630272","https://openalex.org/W6842019321"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W2398668521","https://openalex.org/W2619137770","https://openalex.org/W2952841984","https://openalex.org/W4319323732"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,11,183],"is":[2,105,148,188],"an":[3],"important":[4],"and":[5,19,123,162],"challenging":[6],"task.":[7,34],"Existing":[8],"adversarial":[9,108],"domain":[10,29,33,113,137,182],"methods":[12],"explore":[13],"the":[14,17,23,27,31,38,42,46,49,51,54,56,58,73,77,81,87,89,97,112,117,120,125,129,135,141,153,160,168],"relationship":[15],"between":[16],"source":[18,28,136],"target":[20,32],"domains,":[21],"with":[22,96],"knowledge":[24,39],"learned":[25,121],"in":[26],"supporting":[30],"The":[35],"quality":[36,52],"of":[37,45,53,83,101,119],"will":[40],"affect":[41],"task":[43,60],"performance":[44,179],"transfer,":[47],"i.e.,":[48],"higher":[50],"knowledge,":[55,66],"better":[57,64],"transfer":[59],"performance.":[61],"To":[62],"obtain":[63,152],"domain-invariant":[65,69,143,154],"we":[67],"extract":[68],"semantic":[70],"information":[71],"over":[72],"unit":[74],"sphere":[75],"via":[76],"prototype":[78,99],"network.":[79],"With":[80],"help":[82],"geometric":[84],"constraints":[85],"from":[86,134],"hypersphere,":[88],"features":[90,122],"can":[91],"be":[92],"more":[93],"tightly":[94],"clustered":[95],"estimated":[98],"(representatives":[100],"each":[102],"class).":[103],"Adaptation":[104],"achieved":[106],"by":[107],"learning":[109],"to":[110,151,166],"align":[111],"distribution,":[114],"which":[115],"enhances":[116],"transferability":[118],"obtains":[124],"basic":[126,130],"prototype.":[127],"Since":[128],"prototypes":[131],"dominantly":[132],"computed":[133],"are":[138],"biased":[139],"against":[140],"expected":[142],"prototype,":[144],"a":[145],"debiased":[146],"method":[147,158],"further":[149],"proposed":[150],"prototypes.":[155],"Specifically,":[156],"our":[157,175],"diminishes":[159],"intra-":[161],"inter-":[163],"class":[164],"bias":[165],"achieve":[167],"class-level":[169],"alignment.":[170],"Extensive":[171],"experiments":[172],"demonstrate":[173],"that":[174],"model":[176],"achieves":[177],"state-of-the-art":[178],"on":[180],"several":[181],"benchmark":[184],"datasets.":[185],"Our":[186],"code":[187],"available":[189],"at":[190],"https://github.com/Chunweiwu-source/DPN.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}