{"id":"https://openalex.org/W4327673254","doi":"https://doi.org/10.48550/arxiv.2303.08698","title":"Bi-directional Distribution Alignment for Transductive Zero-Shot Learning","display_name":"Bi-directional Distribution Alignment for Transductive Zero-Shot Learning","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4327673254","doi":"https://doi.org/10.48550/arxiv.2303.08698"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2303.08698","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08698","pdf_url":"https://arxiv.org/pdf/2303.08698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.08698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102971294","display_name":"Zhicai Wang","orcid":"https://orcid.org/0000-0002-3582-7935"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Zhicai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043525989","display_name":"Yanbin Hao","orcid":"https://orcid.org/0000-0002-0695-1566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Yanbin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048659336","display_name":"Tingting Mu","orcid":"https://orcid.org/0000-0001-6315-3432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mu, Tingting","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067586474","display_name":"Ouxiang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ouxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400133","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0001-8938-2364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shuo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Xiangnan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102971294"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9970999956130981,"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":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7473464608192444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7034115791320801},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6624822616577148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5819770097732544},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5688689351081848},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4770200252532959},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43925657868385315},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4232536256313324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39842450618743896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.376424103975296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32865041494369507}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7473464608192444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034115791320801},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6624822616577148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5819770097732544},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5688689351081848},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4770200252532959},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43925657868385315},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4232536256313324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39842450618743896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.376424103975296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32865041494369507},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2303.08698","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08698","pdf_url":"https://arxiv.org/pdf/2303.08698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/22ebdc35-f478-42dd-bb62-084905968f24","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.48550/arxiv.2303.08698","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.08698","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.08698","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08698","pdf_url":"https://arxiv.org/pdf/2303.08698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327673254.pdf","grobid_xml":"https://content.openalex.org/works/W4327673254.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2591697403","https://openalex.org/W2087343574","https://openalex.org/W4246352526"],"abstract_inverted_index":{"It":[0],"is":[1,50],"well-known":[2],"that":[3],"zero-shot":[4],"learning":[5],"(ZSL)":[6],"can":[7],"suffer":[8],"severely":[9],"from":[10,45],"the":[11,17,24,40,46,70,78,87,124,128,132],"problem":[12],"of":[13,42,55,86,127],"domain":[14],"shift,":[15],"where":[16],"true":[18],"and":[19,80,106,134],"learned":[20],"data":[21],"distributions":[22],"for":[23],"unseen":[25,47,111],"classes":[26],"do":[27],"not":[28],"match.":[29],"Although":[30],"transductive":[31],"ZSL":[32],"(TZSL)":[33],"attempts":[34],"to":[35],"improve":[36],"this":[37],"by":[38,72],"allowing":[39],"use":[41],"unlabelled":[43],"examples":[44],"classes,":[48],"there":[49],"still":[51],"a":[52,60,73,92,97,108],"high":[53],"level":[54],"distribution":[56,75,94],"shift.":[57],"We":[58],"propose":[59],"novel":[61],"TZSL":[62,136],"model":[63,88],"(named":[64],"as":[65],"Bi-VAEGAN),":[66],"which":[67],"largely":[68],"improves":[69],"shift":[71],"strengthened":[74],"alignment":[76],"between":[77],"visual":[79],"auxiliary":[81],"spaces.":[82],"The":[83],"key":[84],"proposal":[85],"design":[89],"includes":[90],"(1)":[91],"bi-directional":[93],"alignment,":[95],"(2)":[96],"simple":[98],"but":[99],"effective":[100],"L_2-norm":[101],"based":[102],"feature":[103],"normalization":[104],"approach,":[105],"(3)":[107],"more":[109],"sophisticated":[110],"class":[112],"prior":[113],"estimation":[114],"approach.":[115],"In":[116],"benchmark":[117],"evaluation":[118],"using":[119],"four":[120],"datasets,":[121],"Bi-VAEGAN":[122],"achieves":[123],"new":[125],"state":[126],"arts":[129],"under":[130],"both":[131],"standard":[133],"generalized":[135],"settings.":[137],"Code":[138],"could":[139],"be":[140],"found":[141],"at":[142],"https://github.com/Zhicaiwww/Bi-VAEGAN":[143]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2023-03-18T00:00:00"}