{"id":"https://openalex.org/W4399154341","doi":"https://doi.org/10.1109/tip.2024.3404663","title":"Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning","display_name":"Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399154341","doi":"https://doi.org/10.1109/tip.2024.3404663","pmid":"https://pubmed.ncbi.nlm.nih.gov/38814769"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3404663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3404663","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5082439195","display_name":"Zhuohang Dang","orcid":"https://orcid.org/0000-0002-3775-3722"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuohang Dang","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-3775-3722","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013911439","display_name":"Minnan Luo","orcid":"https://orcid.org/0000-0002-0140-7860"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minnan Luo","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0140-7860","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669505","display_name":"Jihong Wang","orcid":"https://orcid.org/0000-0002-8153-6899"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Wang","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8153-6899","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062654071","display_name":"Chengyou Jia","orcid":"https://orcid.org/0000-0001-6921-0303"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyou Jia","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6921-0303","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063081769","display_name":"Caixia Yan","orcid":"https://orcid.org/0000-0003-2595-0398"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caixia Yan","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2595-0398","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102152323","display_name":"Guang Dai","orcid":"https://orcid.org/0000-0002-3529-9087"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Dai","raw_affiliation_strings":["SGIT AI Laboratory, Xi&#x2019;an, China","State Grid Shaanxi Electric Power Company Limited, State Grid Corporation of China, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SGIT AI Laboratory, Xi&#x2019;an, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Shaanxi Electric Power Company Limited, State Grid Corporation of China, Shaanxi, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University Of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University Of Technology Sydney, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041083459","display_name":"Qinghua Zheng","orcid":"https://orcid.org/0000-0002-8436-4754"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Zheng","raw_affiliation_strings":["School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8436-4754","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, and the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5295,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90217918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"3520","last_page":"3535"},"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":0.9937999844551086,"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":0.9937999844551086,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9591000080108643,"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":0.7458736896514893},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6988366842269897},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6922494173049927},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6658741235733032},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.6015384793281555},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5543479323387146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5457753539085388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293662548065186},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5055546760559082},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.49094370007514954},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.23838046193122864},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.19021978974342346},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0947769284248352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458736896514893},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6988366842269897},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6922494173049927},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6658741235733032},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.6015384793281555},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5543479323387146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5457753539085388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293662548065186},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5055546760559082},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.49094370007514954},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.23838046193122864},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.19021978974342346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0947769284248352},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3404663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3404663","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38814769","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38814769","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1649557791","display_name":null,"funder_award_id":"No.62050194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G247170801","display_name":null,"funder_award_id":"No.62192781","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4046011403","display_name":null,"funder_award_id":"No. 2020AAA0108800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4636503971","display_name":null,"funder_award_id":"No.62137002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7575800824","display_name":null,"funder_award_id":"No.61872287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7758118313","display_name":"\u591a\u7a7a\u95f4\u878d\u5408\u4e0b\u7684\u5927\u5b66\u751f\u4e2a\u6027\u5316\u5b66\u4e60\u4e0e\u667a\u80fd\u6559\u80b2\u670d\u52a1\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61937001","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1686946872","https://openalex.org/W1945616565","https://openalex.org/W2765811365","https://openalex.org/W2799121188","https://openalex.org/W2894906112","https://openalex.org/W2982247743","https://openalex.org/W2989653627","https://openalex.org/W2995360785","https://openalex.org/W2998468066","https://openalex.org/W3000303478","https://openalex.org/W3030509278","https://openalex.org/W3034670940","https://openalex.org/W3035370595","https://openalex.org/W3046698617","https://openalex.org/W3099486271","https://openalex.org/W3105375174","https://openalex.org/W3108878460","https://openalex.org/W3108975329","https://openalex.org/W3113270693","https://openalex.org/W3115935967","https://openalex.org/W3118878482","https://openalex.org/W3174139848","https://openalex.org/W3174480022","https://openalex.org/W3175609671","https://openalex.org/W3176049064","https://openalex.org/W3176127409","https://openalex.org/W3181932393","https://openalex.org/W3182874523","https://openalex.org/W3199257374","https://openalex.org/W3201987584","https://openalex.org/W3203918617","https://openalex.org/W3204916837","https://openalex.org/W3209550716","https://openalex.org/W3211144631","https://openalex.org/W4206910437","https://openalex.org/W4214480085","https://openalex.org/W4214562728","https://openalex.org/W4214608919","https://openalex.org/W4221150062","https://openalex.org/W4225911012","https://openalex.org/W4226271323","https://openalex.org/W4281395888","https://openalex.org/W4283724240","https://openalex.org/W4287121509","https://openalex.org/W4288054357","https://openalex.org/W4307340220","https://openalex.org/W4312120191","https://openalex.org/W4312935555","https://openalex.org/W4313034431","https://openalex.org/W4313058403","https://openalex.org/W4313130367","https://openalex.org/W4313167301","https://openalex.org/W4313176985","https://openalex.org/W4318764497","https://openalex.org/W4320002685","https://openalex.org/W4386065712","https://openalex.org/W4386071512","https://openalex.org/W4386075713","https://openalex.org/W4386075919","https://openalex.org/W4402915794","https://openalex.org/W6637108112","https://openalex.org/W6640425456","https://openalex.org/W6640963894","https://openalex.org/W6687045409","https://openalex.org/W6718140377","https://openalex.org/W6729906282","https://openalex.org/W6744627333","https://openalex.org/W6748223763","https://openalex.org/W6759807521","https://openalex.org/W6761839128","https://openalex.org/W6767668836","https://openalex.org/W6779459370","https://openalex.org/W6782868315","https://openalex.org/W6797394732","https://openalex.org/W6797879730","https://openalex.org/W6804629983","https://openalex.org/W6838868493","https://openalex.org/W6852949000"],"related_works":["https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W3089381707","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W4295728955","https://openalex.org/W3129794609","https://openalex.org/W2949033103","https://openalex.org/W2304083841"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,100],"(FSL)":[2],"poses":[3],"a":[4,61,91,105],"significant":[5],"challenge":[6],"in":[7,35,43,83],"classifying":[8],"unseen":[9],"classes":[10],"with":[11],"limited":[12],"samples,":[13,86],"primarily":[14],"stemming":[15],"from":[16],"the":[17,39,49,53,84,148,155,173,192,200,209],"scarcity":[18],"of":[19,52,129,169,175,197,202],"data.":[20],"Although":[21],"numerous":[22],"generative":[23,162],"approaches":[24],"have":[25],"been":[26],"investigated":[27],"for":[28,73],"FSL,":[29],"their":[30,143],"generation":[31,103],"process":[32],"often":[33],"results":[34],"entangled":[36],"outputs,":[37],"exacerbating":[38],"distribution":[40],"shift":[41],"inherent":[42],"FSL.":[44],"Consequently,":[45],"this":[46,57],"considerably":[47],"hampers":[48],"overall":[50,149],"quality":[51],"generated":[54,85],"samples.":[55],"Addressing":[56],"concern,":[58],"we":[59,89,153,183],"present":[60],"pioneering":[62],"framework":[63,77],"called":[64],"DisGenIB,":[65,171],"which":[66],"leverages":[67],"an":[68],"Information":[69,93],"Bottleneck":[70],"(IB)":[71],"approach":[72,136],"Disentangled":[74],"Generation.":[75],"Our":[76,212],"ensures":[78],"both":[79],"discrimination":[80],"and":[81,101,146,163,195],"diversity":[82],"simultaneously.":[87],"Specifically,":[88],"introduce":[90],"groundbreaking":[92],"Theoretic":[94],"objective":[95],"that":[96,114,158],"unifies":[97],"disentangled":[98],"representation":[99],"sample":[102],"within":[104],"novel":[106],"framework.":[107,178],"In":[108],"contrast":[109],"to":[110,116,139,142],"previous":[111],"IB-based":[112],"methods":[113,165],"struggle":[115],"leverage":[117],"priors,":[118],"our":[119,170,176,181,203],"proposed":[120,177],"DisGenIB":[121],"effectively":[122],"incorporates":[123],"priors":[124,141],"as":[125,166],"invariant":[126],"domain":[127],"knowledge":[128],"sub-features,":[130],"thereby":[131],"enhancing":[132],"disentanglement.":[133],"This":[134],"innovative":[135],"enables":[137],"us":[138],"exploit":[140],"full":[144],"potential":[145],"facilitates":[147],"disentanglement":[150,164],"process.":[151],"Moreover,":[152],"establish":[154],"theoretical":[156,204],"foundation":[157],"reveals":[159],"certain":[160],"prior":[161],"special":[167],"instances":[168],"underscoring":[172],"versatility":[174],"To":[179],"solidify":[180],"claims,":[182],"conduct":[184],"comprehensive":[185],"experiments":[186],"on":[187],"demanding":[188],"FSL":[189],"benchmarks,":[190],"affirming":[191],"remarkable":[193],"efficacy":[194],"superiority":[196],"DisGenIB.":[198],"Furthermore,":[199],"validity":[201],"analyses":[205],"is":[206,214],"substantiated":[207],"by":[208],"experimental":[210],"results.":[211],"code":[213],"available":[215],"at":[216],"https://github.com/eric-hang/DisGenIB.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
