{"id":"https://openalex.org/W2941883178","doi":"https://doi.org/10.1109/vcip.2018.8698669","title":"Improving Generative Adversarial Networks with Adaptive Control Learning","display_name":"Improving Generative Adversarial Networks with Adaptive Control Learning","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941883178","doi":"https://doi.org/10.1109/vcip.2018.8698669","mag":"2941883178"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103096680","display_name":"Xiaohan Ma","orcid":"https://orcid.org/0000-0001-6863-2571"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Xiaohan Ma","raw_affiliation_strings":["Dept. of Software, Ajou University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Software, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022686531","display_name":"Rize Jin","orcid":"https://orcid.org/0000-0001-5537-0744"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rize Jin","raw_affiliation_strings":["School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068333871","display_name":"Kyung-Ah Sohn","orcid":"https://orcid.org/0000-0001-8941-1188"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Ah Sohn","raw_affiliation_strings":["Dept. of Software, Ajou University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Software, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021723305","display_name":"Joon\u2010Young Paik","orcid":"https://orcid.org/0000-0002-2957-4177"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JoonYoung Paik","raw_affiliation_strings":["School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700550","display_name":"Jing Sun","orcid":"https://orcid.org/0000-0003-1389-1562"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jing Sun","raw_affiliation_strings":["Dept. of Software, Ajou University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Software, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044985062","display_name":"Tae\u2010Sun Chung","orcid":"https://orcid.org/0000-0001-5992-1136"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Sun Chung","raw_affiliation_strings":["Dept. of Software, Ajou University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Software, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9973000288009644,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9968000054359436,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9945999979972839,"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/discriminator","display_name":"Discriminator","score":0.8682669997215271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028704524040222},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6833889484405518},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6451900005340576},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6364735960960388},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5779746174812317},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5428618788719177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5201459527015686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5005447864532471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4925733208656311},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.44308122992515564}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8682669997215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028704524040222},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6833889484405518},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6451900005340576},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6364735960960388},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5779746174812317},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5428618788719177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5201459527015686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5005447864532471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4925733208656311},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.44308122992515564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2099471712","https://openalex.org/W2173520492","https://openalex.org/W2419501139","https://openalex.org/W2521028896","https://openalex.org/W2751842161","https://openalex.org/W2949933669","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963800509","https://openalex.org/W2963857374","https://openalex.org/W2964024144","https://openalex.org/W2964201867","https://openalex.org/W3093419064","https://openalex.org/W4300996741","https://openalex.org/W4302061398","https://openalex.org/W4320013936","https://openalex.org/W6685352114","https://openalex.org/W6694605516","https://openalex.org/W6717434760","https://openalex.org/W6718379498","https://openalex.org/W6727501944","https://openalex.org/W6730161283"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"networks":[2],"(GANs)":[3],"are":[4],"well":[5],"known":[6],"both":[7,77],"for":[8,14,41],"being":[9],"unstable":[10],"to":[11,46,56],"train":[12],"and":[13,62,80,87,96,120],"the":[15,47,58,65,70,73,78,100,114,118],"problem":[16],"of":[17,30,60,72,76,92],"mode":[18],"collapse,":[19],"particularly":[20],"when":[21,104],"trained":[22],"on":[23],"data":[24,108],"collections":[25],"containing":[26],"a":[27],"diverse":[28,107],"set":[29],"visual":[31],"objects.":[32],"This":[33],"study":[34],"introduces":[35],"an":[36,44],"adaptive":[37],"hyper-parameter":[38],"learning":[39],"procedure":[40,53],"GANs":[42],"as":[43,99],"alternative":[45],"existing":[48],"static":[49],"approach.":[50],"The":[51],"proposed":[52,115],"is":[54],"designed":[55],"mitigate":[57],"impact":[59],"instability":[61],"saturation":[63],"in":[64],"original":[66],"by":[67],"dynamically":[68],"adjusting":[69],"ratio":[71],"training":[74,90,105],"steps":[75],"generator":[79],"discriminator.":[81],"To":[82],"accomplish":[83],"this,":[84],"we":[85],"track":[86],"analyze":[88],"stable":[89],"curves":[91],"relatively":[93],"narrow":[94],"datasets":[95],"use":[97],"them":[98],"target":[101],"fitting":[102],"lines":[103],"more":[106,122],"collections.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"model":[116],"improves":[117],"stability":[119],"generates":[121],"realistic":[123],"images.":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
