{"id":"https://openalex.org/W3208933537","doi":"https://doi.org/10.24963/ijcai.2022/398","title":"Better Embedding and More Shots for Few-shot Learning","display_name":"Better Embedding and More Shots for Few-shot Learning","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W3208933537","doi":"https://doi.org/10.24963/ijcai.2022/398","mag":"3208933537"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/398","pdf_url":"https://www.ijcai.org/proceedings/2022/0398.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0398.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045279002","display_name":"Ziqiu Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqiu Chi","raw_affiliation_strings":["East China University Of Science and Technology","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","School of Information Science and Engineering, East China University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University Of Science and Technology","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407604","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-1698-2761"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["East China University of Science and Technology","School of Information Science and Engineering, East China University of Science and Technology, China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058786230","display_name":"Mengping Yang","orcid":"https://orcid.org/0000-0003-1503-9621"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengping Yang","raw_affiliation_strings":["East China University of Science and Technology","School of Information Science and Engineering, East China University of Science and Technology, China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040122485","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0002-6233-0529"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["East China University of Science and Technology","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","School of Information Science and Engineering, East China University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005020565","display_name":"Xinlei Xu","orcid":"https://orcid.org/0000-0001-6645-859X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Xu","raw_affiliation_strings":["East China University of Science and Technology","School of Information Science and Engineering, East China University of Science and Technology, China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045279002"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.5192,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61038961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2874","last_page":"2880"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9725000262260437,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9714000225067139,"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":0.9147311449050903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6235427856445312},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5119367837905884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4748932421207428},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4634762704372406},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4457297921180725},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.442132830619812},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36554914712905884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34576210379600525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33018386363983154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32551366090774536}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.9147311449050903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6235427856445312},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5119367837905884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4748932421207428},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4634762704372406},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4457297921180725},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.442132830619812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36554914712905884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34576210379600525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33018386363983154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32551366090774536},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/398","pdf_url":"https://www.ijcai.org/proceedings/2022/0398.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/398","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/398","pdf_url":"https://www.ijcai.org/proceedings/2022/0398.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7531862109","display_name":null,"funder_award_id":"No. 62076094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8083319689","display_name":null,"funder_award_id":"62076094","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208933537.pdf","grobid_xml":"https://content.openalex.org/works/W3208933537.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1504770578","https://openalex.org/W1522301498","https://openalex.org/W1797268635","https://openalex.org/W1971044734","https://openalex.org/W1981049088","https://openalex.org/W1998260904","https://openalex.org/W2036595722","https://openalex.org/W2080635178","https://openalex.org/W2083415705","https://openalex.org/W2097308346","https://openalex.org/W2104489082","https://openalex.org/W2105616783","https://openalex.org/W2134207659","https://openalex.org/W2290847742","https://openalex.org/W2337496963","https://openalex.org/W2527189750","https://openalex.org/W2541404351","https://openalex.org/W2585152223","https://openalex.org/W2594183968","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2742127985","https://openalex.org/W2765407302","https://openalex.org/W2778051509","https://openalex.org/W2787035179","https://openalex.org/W2798416089","https://openalex.org/W2891365537","https://openalex.org/W2892122929","https://openalex.org/W2895671740","https://openalex.org/W2905016804","https://openalex.org/W2923693308","https://openalex.org/W2937843571","https://openalex.org/W2948990653","https://openalex.org/W2952254971","https://openalex.org/W2953273646","https://openalex.org/W2962876364","https://openalex.org/W2963212250","https://openalex.org/W2963341924","https://openalex.org/W2963403868","https://openalex.org/W2963741406","https://openalex.org/W2981413347","https://openalex.org/W2986604550","https://openalex.org/W2995645102","https://openalex.org/W2996443485","https://openalex.org/W2997496357","https://openalex.org/W3003486042","https://openalex.org/W3006439205","https://openalex.org/W3007488165","https://openalex.org/W3009081299","https://openalex.org/W3015526228","https://openalex.org/W3034772996","https://openalex.org/W3035302051","https://openalex.org/W3035370595","https://openalex.org/W3035454674","https://openalex.org/W3043479795","https://openalex.org/W3097065222","https://openalex.org/W3099486271","https://openalex.org/W3099950071","https://openalex.org/W3101643101","https://openalex.org/W3101744125","https://openalex.org/W3102659967","https://openalex.org/W3103736477","https://openalex.org/W3107511504","https://openalex.org/W3108878460","https://openalex.org/W3108975329","https://openalex.org/W3108981297","https://openalex.org/W3113177135","https://openalex.org/W3122520870","https://openalex.org/W3126121388","https://openalex.org/W3129238601","https://openalex.org/W3161622534","https://openalex.org/W3176733663","https://openalex.org/W3206106441","https://openalex.org/W3209786827"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2037549926","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W2932872266"],"abstract_inverted_index":{"In":[0,109],"few-shot":[1],"learning,":[2],"methods":[3],"are":[4,44],"enslaved":[5],"to":[6,33,64,150,156,164],"the":[7,18,27,34,68,73,87,98,101,105,113,129,152,157],"scarce":[8],"labeled":[9,24],"data,":[10],"resulting":[11],"in":[12],"suboptimal":[13],"embedding.":[14],"Recent":[15],"studies":[16],"learn":[17],"embedding":[19,36,66,69,103],"network":[20,29],"by":[21,162],"other":[22],"large-scale":[23],"data.":[25,39],"However,":[26],"trained":[28],"may":[30],"give":[31],"rise":[32],"distorted":[35],"of":[37,75,115,131],"target":[38,106],"We":[40,52,166],"argue":[41],"two":[42],"respects":[43],"required":[45],"for":[46,90,173],"an":[47],"unprecedented":[48],"and":[49,57,78,104,135,177],"promising":[50],"solution.":[51],"call":[53],"them":[54],"Better":[55],"Embedding":[56],"More":[58],"Shots":[59],"(BEMS).":[60],"Suppose":[61],"we":[62,85,127],"propose":[63],"extract":[65],"from":[67],"network.":[70],"BE":[71],"maximizes":[72,97],"extraction":[74],"general":[76],"representation":[77],"prevents":[79],"over-fitting":[80],"information.":[81],"For":[82],"this":[83,110],"purpose,":[84],"introduce":[86],"topological":[88],"relation":[89],"global":[91],"reconstruction,":[92],"avoiding":[93],"excessive":[94],"memorizing.":[95],"MS":[96],"relevance":[99],"between":[100],"reconstructed":[102],"class":[107],"space.":[108],"respect,":[111],"increasing":[112],"number":[114],"shots":[116,139],"is":[117,147,171],"a":[118,124],"pivotal":[119],"but":[120],"intractable":[121],"strategy.":[122],"As":[123],"creative":[125],"method,":[126],"derive":[128],"bound":[130],"information-theory-based":[132],"loss":[133],"function":[134],"implicitly":[136],"achieve":[137],"infinite":[138],"with":[140],"negligible":[141],"cost.":[142],"A":[143],"substantial":[144],"experimental":[145],"analysis":[146],"carried":[148],"out":[149],"demonstrate":[151],"state-of-the-art":[153],"performance.":[154],"Compared":[155],"baseline,":[158],"our":[159],"method":[160],"improves":[161],"up":[163],"10%+.":[165],"also":[167],"prove":[168],"that":[169],"BEMS":[170],"suitable":[172],"both":[174],"standard":[175],"pre-trained":[176],"meta-learning":[178],"embedded":[179],"networks.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
