{"id":"https://openalex.org/W3159770254","doi":"https://doi.org/10.1109/tnnls.2021.3073119","title":"Adversarial Entropy Optimization for Unsupervised Domain Adaptation","display_name":"Adversarial Entropy Optimization for Unsupervised Domain Adaptation","publication_year":2021,"publication_date":"2021-05-03","ids":{"openalex":"https://openalex.org/W3159770254","doi":"https://doi.org/10.1109/tnnls.2021.3073119","mag":"3159770254","pmid":"https://pubmed.ncbi.nlm.nih.gov/33939616"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3073119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3073119","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5071003083","display_name":"Ao Ma","orcid":"https://orcid.org/0000-0002-4815-6704"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ao Ma","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079281855","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0002-3456-4993"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071003083"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":6.2995,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.97008705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"11","first_page":"6263","last_page":"6274"},"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/T12047","display_name":"Viral Infections and Vectors","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T11243","display_name":"Respiratory viral infections research","score":0.9106000065803528,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/discriminator","display_name":"Discriminator","score":0.8109153509140015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7073383927345276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6154208183288574},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5421617031097412},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5378925204277039},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4672883152961731},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43546611070632935},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4340672194957733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4072217643260956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18400323390960693},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1255524754524231}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8109153509140015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073383927345276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154208183288574},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5421617031097412},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5378925204277039},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4672883152961731},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43546611070632935},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4340672194957733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4072217643260956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18400323390960693},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1255524754524231},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3073119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3073119","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33939616","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33939616","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2651127925","display_name":null,"funder_award_id":"61806039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4253300795","display_name":null,"funder_award_id":"61832001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G447531877","display_name":null,"funder_award_id":"2020YFG0080","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G8446425903","display_name":null,"funder_award_id":"62073059","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"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1995875735","https://openalex.org/W2032558547","https://openalex.org/W2060300932","https://openalex.org/W2096175520","https://openalex.org/W2096943734","https://openalex.org/W2104094955","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2131953535","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2408719493","https://openalex.org/W2478454054","https://openalex.org/W2552765257","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2627183927","https://openalex.org/W2801477643","https://openalex.org/W2892946488","https://openalex.org/W2954581613","https://openalex.org/W2955547856","https://openalex.org/W2962687275","https://openalex.org/W2962986791","https://openalex.org/W2963073217","https://openalex.org/W2964109570","https://openalex.org/W2964288524","https://openalex.org/W2978573218","https://openalex.org/W2979050067","https://openalex.org/W2979920800","https://openalex.org/W2986381065","https://openalex.org/W2991405316","https://openalex.org/W2998115938","https://openalex.org/W3018638193","https://openalex.org/W3131415659","https://openalex.org/W6633949838","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6674650171","https://openalex.org/W6678815747","https://openalex.org/W6681588610","https://openalex.org/W6681637710","https://openalex.org/W6682132143","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6688325169","https://openalex.org/W6692729736","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6720691552","https://openalex.org/W6734209382","https://openalex.org/W6746171285","https://openalex.org/W6746282794","https://openalex.org/W6747473740","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,38,82,179,193,211],"is":[2,18,158,183],"proposed":[3],"to":[4,49,55,61,89,111],"deal":[5],"with":[6,161,171,187],"the":[7,11,15,21,29,58,69,91,96,102,113,116,119,124,130,141,148,162],"challenging":[8],"problem":[9],"where":[10],"probability":[12],"distribution":[13,132],"of":[14,105,115,133,150,165],"training":[16],"source":[17,106,134],"different":[19,188],"from":[20,101,129],"testing":[22],"target.":[23],"Recently,":[24],"adversarial":[25,36,85,166],"learning":[26],"has":[27],"become":[28],"dominating":[30],"technique":[31],"for":[32,177],"domain":[33,37,47,81,107,110,135,138,142,178,192,210],"adaptation.":[34],"Usually,":[35],"methods":[39],"simultaneously":[40],"train":[41,57],"a":[42,46,66,79],"feature":[43],"learner":[44],"and":[45,136,147,185,191],"discriminator":[48,143],"learn":[50,62],"domain-invariant":[51,63],"features.":[52],"Accordingly,":[53],"how":[54],"effectively":[56],"domain-adversarial":[59],"model":[60,170],"features":[64,127],"becomes":[65],"challenge":[67],"in":[68,76],"community.":[70],"To":[71],"this":[72,77],"end,":[73],"we":[74,94,122],"propose":[75],"article":[78],"novel":[80],"scheme":[83],"named":[84],"entropy":[86,97,125],"optimization":[87],"(AEO)":[88],"address":[90],"challenge.":[92],"Specifically,":[93],"minimize":[95],"when":[98,126],"samples":[99],"are":[100,128],"independent":[103],"distributions":[104],"or":[108],"target":[109,137],"improve":[112],"discriminability":[114,176],"model.":[117],"At":[118],"same":[120],"time,":[121],"maximize":[123],"combined":[131],"so":[139],"that":[140,201],"can":[144,152,204],"be":[145,153],"confused":[146],"transferability":[149,172],"representations":[151],"promoted.":[154],"This":[155],"minimax":[156],"regime":[157],"well":[159,174],"matched":[160],"core":[163],"idea":[164],"learning,":[167],"empowering":[168],"our":[169,202],"as":[173,175],"tasks.":[180,212],"Also,":[181],"AEO":[182],"flexible":[184],"compatible":[186],"deep":[189],"networks":[190],"frameworks.":[194],"Experiments":[195],"on":[196],"five":[197],"data":[198],"sets":[199],"show":[200],"method":[203],"achieve":[205],"state-of-the-art":[206],"performance":[207],"across":[208],"diverse":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
