{"id":"https://openalex.org/W2762085884","doi":"https://doi.org/10.1109/tpami.2017.2762295","title":"Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation","display_name":"Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation","publication_year":2017,"publication_date":"2017-10-12","ids":{"openalex":"https://openalex.org/W2762085884","doi":"https://doi.org/10.1109/tpami.2017.2762295","mag":"2762085884","pmid":"https://pubmed.ncbi.nlm.nih.gov/29028188"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2762295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2762295","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ueaeprints.uea.ac.uk/id/eprint/65217/1/PAMI_Long.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011037821","display_name":"Yang Long","orcid":"https://orcid.org/0000-0002-2445-6112"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Long","raw_affiliation_strings":["OpenLab, The University of Newcastle, Newcastle upon Tune, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2445-6112","affiliations":[{"raw_affiliation_string":"OpenLab, The University of Newcastle, Newcastle upon Tune, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"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":"Fumin Shen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7303-3231","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/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-8264-6117","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.7635,"has_fulltext":true,"cited_by_count":112,"citation_normalized_percentile":{"value":0.98767218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"40","issue":"10","first_page":"2498","last_page":"2512"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9825999736785889,"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/embedding","display_name":"Embedding","score":0.7179527282714844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091845870018005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6166101098060608},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6072627305984497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.483005166053772},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4799935519695282},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.473954439163208},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4529383182525635},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.43108779191970825},{"id":"https://openalex.org/keywords/visual-space","display_name":"Visual space","score":0.42304807901382446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.394961416721344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37187767028808594}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7179527282714844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091845870018005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6166101098060608},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6072627305984497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.483005166053772},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4799935519695282},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.473954439163208},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4529383182525635},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.43108779191970825},{"id":"https://openalex.org/C207363949","wikidata":"https://www.wikidata.org/wiki/Q462915","display_name":"Visual space","level":3,"score":0.42304807901382446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.394961416721344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37187767028808594},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.2017.2762295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2762295","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:29028188","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29028188","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:ueaeprints.uea.ac.uk:65217","is_oa":true,"landing_page_url":null,"pdf_url":"https://ueaeprints.uea.ac.uk/id/eprint/65217/1/PAMI_Long.pdf","source":{"id":"https://openalex.org/S4306400384","display_name":"UEA Digital Repository (University of East Anglia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1118541","host_organization_name":"University of East Anglia","host_organization_lineage":["https://openalex.org/I1118541"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:durham-repository.worktribe.com:1294898","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1294898","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/30620","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/30620","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ueaeprints.uea.ac.uk:65217","is_oa":true,"landing_page_url":null,"pdf_url":"https://ueaeprints.uea.ac.uk/id/eprint/65217/1/PAMI_Long.pdf","source":{"id":"https://openalex.org/S4306400384","display_name":"UEA Digital Repository (University of East Anglia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1118541","host_organization_name":"University of East Anglia","host_organization_lineage":["https://openalex.org/I1118541"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2353850810","display_name":null,"funder_award_id":"61528106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3000430873","display_name":null,"funder_award_id":"MR/S003916/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2762085884.pdf","grobid_xml":"https://content.openalex.org/works/W2762085884.grobid-xml"},"referenced_works_count":92,"referenced_works":["https://openalex.org/W27961112","https://openalex.org/W43954826","https://openalex.org/W93016980","https://openalex.org/W652269744","https://openalex.org/W870084106","https://openalex.org/W1499991161","https://openalex.org/W1500937733","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1944630830","https://openalex.org/W1960364170","https://openalex.org/W1992454046","https://openalex.org/W1999818274","https://openalex.org/W2005285092","https://openalex.org/W2012592962","https://openalex.org/W2032699694","https://openalex.org/W2040171755","https://openalex.org/W2044195942","https://openalex.org/W2044913453","https://openalex.org/W2077071968","https://openalex.org/W2084363474","https://openalex.org/W2086953401","https://openalex.org/W2098411764","https://openalex.org/W2099471712","https://openalex.org/W2108119513","https://openalex.org/W2109317801","https://openalex.org/W2109933951","https://openalex.org/W2116447720","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2134270519","https://openalex.org/W2136294701","https://openalex.org/W2141350700","https://openalex.org/W2145215286","https://openalex.org/W2150295085","https://openalex.org/W2151575489","https://openalex.org/W2153579005","https://openalex.org/W2154455818","https://openalex.org/W2157032868","https://openalex.org/W2201155408","https://openalex.org/W2209594346","https://openalex.org/W2251864938","https://openalex.org/W2289084343","https://openalex.org/W2294130536","https://openalex.org/W2294155285","https://openalex.org/W2295765669","https://openalex.org/W2318493377","https://openalex.org/W2328434568","https://openalex.org/W2334493732","https://openalex.org/W2398118205","https://openalex.org/W2400717490","https://openalex.org/W2405223529","https://openalex.org/W2413731729","https://openalex.org/W2476238768","https://openalex.org/W2519055561","https://openalex.org/W2576167394","https://openalex.org/W2581186283","https://openalex.org/W2582159720","https://openalex.org/W2592773426","https://openalex.org/W2596142952","https://openalex.org/W2739770654","https://openalex.org/W2766468550","https://openalex.org/W2912584497","https://openalex.org/W2950276680","https://openalex.org/W2962714319","https://openalex.org/W2962824231","https://openalex.org/W2963226019","https://openalex.org/W2964086552","https://openalex.org/W3100093508","https://openalex.org/W3106051827","https://openalex.org/W3143107425","https://openalex.org/W4293775970","https://openalex.org/W4294170691","https://openalex.org/W4320013936","https://openalex.org/W6601146891","https://openalex.org/W6601825177","https://openalex.org/W6603820874","https://openalex.org/W6629834861","https://openalex.org/W6637373629","https://openalex.org/W6676368796","https://openalex.org/W6677400592","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6682222085","https://openalex.org/W6682402173","https://openalex.org/W6682494755","https://openalex.org/W6682691769","https://openalex.org/W6691474080","https://openalex.org/W6696680836","https://openalex.org/W6712977221","https://openalex.org/W6718140377","https://openalex.org/W6758894599"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W156213964"],"abstract_inverted_index":{"Sufficient":[0],"training":[1,16,59,88],"examples":[2,17],"are":[3,75,123,175],"the":[4,10,69,82,94,111,120,127,133,140,147,167,192,196,203,217,225,240,247,256,276],"fundamental":[5],"requirement":[6],"for":[7,61,99,263],"most":[8,118,138,222],"of":[9,29,52,71,110,119,139,142,224,258],"learning":[11],"tasks.":[12],"However,":[13],"collecting":[14],"well-labelled":[15],"is":[18,97,129],"costly.":[19],"Inspired":[20],"by":[21],"Zero-shot":[22],"Learning":[23],"(ZSL)":[24],"that":[25,105,162,214,270],"can":[26,238],"make":[27,132],"use":[28],"visual":[30,169,197],"attributes":[31,243],"or":[32],"natural":[33],"language":[34],"semantics":[35],"as":[36],"an":[37,229,234],"intermediate":[38],"level":[39],"clue":[40],"to":[41,57,80,87,92,131,137,166,190,219],"associate":[42],"low-level":[43],"features":[44,113,165],"with":[45],"high-level":[46],"classes,":[47],"in":[48,177],"a":[49,107,152,184,209],"novel":[50,62,153,210],"extension":[51],"this":[53,72],"idea,":[54,73],"we":[55,103,150,254],"aim":[56],"synthesise":[58],"data":[60,84,96,262],"classes":[63],"using":[64,259],"only":[65,106],"semantic":[66,164,199],"attributes.":[67],"Despite":[68],"simplicity":[70],"there":[74],"several":[76],"challenges.":[77],"First,":[78],"how":[79,91,130],"prevent":[81],"synthesised":[83,95,143,226,260],"from":[85],"over-fitting":[86,248],"classes?":[89],"Second,":[90],"guarantee":[93],"discriminative":[98],"ZSL":[100],"tasks?":[101],"Third,":[102],"observe":[104],"few":[108],"dimensions":[109,122,141,223],"learnt":[112],"gain":[114],"high":[115],"variances":[116,218],"whereas":[117],"remaining":[121],"not":[124],"informative.":[125],"Thus,":[126],"question":[128],"concentrated":[134],"information":[135],"diffuse":[136,220],"data.":[144,227],"To":[145],"address":[146],"above":[148],"issues,":[149],"propose":[151,208],"embedding":[154,186],"algorithm":[155],"named":[156],"Unseen":[157],"Visual":[158],"Data":[159],"Synthesis":[160],"(UVDS)":[161],"projects":[163],"high-dimensional":[168],"feature":[170],"space.":[171],"Two":[172],"main":[173],"techniques":[174],"introduced":[176],"our":[178,271],"proposed":[179,272],"algorithm.":[180],"(1)":[181],"We":[182,207],"introduce":[183],"latent":[185],"space":[187],"which":[188],"aims":[189],"reconcile":[191],"structural":[193],"difference":[194],"between":[195],"and":[198,244],"spaces,":[200],"meanwhile":[201],"preserve":[202],"local":[204],"structure.":[205],"(2)":[206],"Diffusion":[211],"Regularisation":[212],"(DR)":[213],"explicitly":[215],"forces":[216],"over":[221],"By":[228],"orthogonal":[230,235],"rotation":[231],"(more":[232],"precisely,":[233],"transformation),":[236],"DR":[237],"remove":[239],"redundant":[241],"correlated":[242],"further":[245],"alleviate":[246],"problem.":[249],"On":[250],"four":[251],"benchmark":[252],"datasets,":[253],"demonstrate":[255],"benefit":[257],"unseen":[261],"zero-shot":[264],"learning.":[265],"Extensive":[266],"experimental":[267],"results":[268],"suggest":[269],"approach":[273],"significantly":[274],"outperforms":[275],"state-of-the-art":[277],"methods.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}