{"id":"https://openalex.org/W2625202319","doi":"https://doi.org/10.1109/ijcnn.2017.7966332","title":"Zero-shot learning with a partial set of observed attributes","display_name":"Zero-shot learning with a partial set of observed attributes","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2625202319","doi":"https://doi.org/10.1109/ijcnn.2017.7966332","mag":"2625202319"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5051741610","display_name":"Yaqing Wang","orcid":"https://orcid.org/0000-0003-1457-1114"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yaqing Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070273088","display_name":"James T. Kwok","orcid":"https://orcid.org/0000-0002-4828-8248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James T. Kwok","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021357065","display_name":"Lionel M. Ni","orcid":"https://orcid.org/0000-0002-2325-6215"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Lionel M. Ni","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051741610"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.0394,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82874424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3777","last_page":"3784"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12676","display_name":"Machine Learning and ELM","score":0.9751999974250793,"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/leverage","display_name":"Leverage (statistics)","score":0.8011808395385742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363581657409668},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7318545579910278},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5576554536819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492522716522217},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5467055439949036},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49968576431274414},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4921669363975525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39157429337501526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37989678978919983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1830449104309082}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8011808395385742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363581657409668},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7318545579910278},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5576554536819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492522716522217},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5467055439949036},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49968576431274414},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4921669363975525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39157429337501526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37989678978919983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1830449104309082},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-88982","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-88982","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-88982","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-88982","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W27961112","https://openalex.org/W43954826","https://openalex.org/W652269744","https://openalex.org/W1686810756","https://openalex.org/W1964590153","https://openalex.org/W1970381522","https://openalex.org/W1992454046","https://openalex.org/W2044913453","https://openalex.org/W2070148066","https://openalex.org/W2071658253","https://openalex.org/W2082741089","https://openalex.org/W2097117768","https://openalex.org/W2109317801","https://openalex.org/W2118674552","https://openalex.org/W2123024445","https://openalex.org/W2134332047","https://openalex.org/W2150295085","https://openalex.org/W2153579005","https://openalex.org/W2160569988","https://openalex.org/W2186878252","https://openalex.org/W2289084343","https://openalex.org/W2334493732","https://openalex.org/W2963955958","https://openalex.org/W2964086552","https://openalex.org/W3100093508","https://openalex.org/W3143107425","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W6600609147","https://openalex.org/W6601146891","https://openalex.org/W6601825177","https://openalex.org/W6637373629","https://openalex.org/W6668116433","https://openalex.org/W6678470764","https://openalex.org/W6682222085","https://openalex.org/W6682691769","https://openalex.org/W6683303121","https://openalex.org/W6686968995"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Attributes":[0],"are":[1,13,47],"human-annotated":[2],"semantic":[3,19,92,127,167],"descriptions":[4],"of":[5,44,64,85,111,162],"label":[6],"classes.":[7,29],"In":[8,52],"zero-shot":[9],"learning":[10],"(ZSL),":[11],"they":[12],"often":[14,48],"used":[15,125],"to":[16,27,50,59],"construct":[17],"a":[18,42,115],"embedding":[20],"for":[21,34],"knowledge":[22],"transfer":[23],"from":[24,94],"known":[25],"classes":[26,37],"new":[28,36],"While":[30],"collecting":[31],"all":[32],"attributes":[33,46,72,87,121,152,164],"the":[35,70,79,86,135,143,159],"is":[38],"criticized":[39],"as":[40,126],"expensive,":[41],"subset":[43],"these":[45],"easy":[49],"acquire.":[51],"this":[53,61],"paper,":[54],"we":[55],"extend":[56],"ZSL":[57,154],"methods":[58,140,148,156],"handle":[60],"partial":[62,160],"set":[63,161],"observed":[65,163],"attributes.":[66],"We":[67,77],"first":[68],"recover":[69],"missing":[71,145],"through":[73],"structured":[74,144],"matrix":[75],"completion.":[76],"use":[78],"low-rank":[80],"assumption,":[81],"and":[82],"leverage":[83],"properties":[84],"by":[88],"extracting":[89],"their":[90],"rich":[91],"information":[93],"external":[95],"sources.":[96],"The":[97,119],"resultant":[98],"optimization":[99],"problem":[100],"can":[101,122],"be":[102,124],"efficiently":[103],"solved":[104],"with":[105],"alternating":[106],"minimization,":[107],"in":[108,129,141,153],"which":[109],"each":[110],"its":[112],"subproblems":[113],"has":[114],"simple":[116],"closed-form":[117],"solution.":[118],"predicted":[120,151],"then":[123],"embeddings":[128],"ZSL.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"method":[137],"outperform":[138],"existing":[139],"recovering":[142],"matrix.":[146],"Moreover,":[147],"using":[149,157],"our":[150],"outperforms":[155],"either":[158],"or":[165],"other":[166],"embeddings.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}