{"id":"https://openalex.org/W3191502879","doi":"https://doi.org/10.24963/ijcai.2021/295","title":"Conditional Self-Supervised Learning for Few-Shot Classification","display_name":"Conditional Self-Supervised Learning for Few-Shot Classification","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3191502879","doi":"https://doi.org/10.24963/ijcai.2021/295","mag":"3191502879"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/295","pdf_url":"https://www.ijcai.org/proceedings/2021/0295.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0295.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080952474","display_name":"Yuexuan An","orcid":"https://orcid.org/0000-0001-5510-4059"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuexuan An","raw_affiliation_strings":["MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057436798","display_name":"Hui Xue","orcid":"https://orcid.org/0000-0002-5856-4445"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xue","raw_affiliation_strings":["MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037909738","display_name":"Xingyu Zhao","orcid":"https://orcid.org/0000-0001-6541-3445"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Zhao","raw_affiliation_strings":["MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388587","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0001-9532-5219"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Computer Network and Information Integration (Southeast University), China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080952474"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":3.9179,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94583427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2140","last_page":"2146"},"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":0.9969000220298767,"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":0.9969000220298767,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7825717926025391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7133496999740601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6897892355918884},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6817352771759033},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.655203104019165},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.65061354637146},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6044326424598694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5515444874763489},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5407123565673828},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4356438219547272},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42270010709762573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34066855907440186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14055407047271729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825717926025391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7133496999740601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6897892355918884},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6817352771759033},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.655203104019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.65061354637146},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6044326424598694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5515444874763489},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5407123565673828},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4356438219547272},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42270010709762573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34066855907440186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14055407047271729},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/295","pdf_url":"https://www.ijcai.org/proceedings/2021/0295.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/295","pdf_url":"https://www.ijcai.org/proceedings/2021/0295.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4930957057","display_name":null,"funder_award_id":"No.62076062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6659685091","display_name":null,"funder_award_id":"62076062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7184778669","display_name":null,"funder_award_id":"2017YFB1002801","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/W3191502879.pdf","grobid_xml":"https://content.openalex.org/works/W3191502879.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1797268635","https://openalex.org/W2156387975","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2427497464","https://openalex.org/W2432717477","https://openalex.org/W2519887557","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2768228940","https://openalex.org/W2798991696","https://openalex.org/W2803895400","https://openalex.org/W2884901161","https://openalex.org/W2950996604","https://openalex.org/W2953327099","https://openalex.org/W2963341924","https://openalex.org/W2963741406","https://openalex.org/W2963775850","https://openalex.org/W2964015378","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964206659","https://openalex.org/W2987283559","https://openalex.org/W2994633389","https://openalex.org/W3005680577","https://openalex.org/W3013939433","https://openalex.org/W3034312118","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036984428","https://openalex.org/W3080791196","https://openalex.org/W3091905774","https://openalex.org/W3092824172","https://openalex.org/W3109083691","https://openalex.org/W3171007011","https://openalex.org/W4288093001","https://openalex.org/W6700872662","https://openalex.org/W6781969473","https://openalex.org/W6786614245","https://openalex.org/W6791858558","https://openalex.org/W6863631769","https://openalex.org/W6863994431"],"related_works":["https://openalex.org/W2905271011","https://openalex.org/W122912556","https://openalex.org/W1586607209","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2515319207"],"abstract_inverted_index":{"How":[0],"to":[1,22,30,35,72,90,113,117,133,149,212],"learn":[2,82],"a":[3,11,32,54,83,178,202],"transferable":[4],"feature":[5,139],"representation":[6,56,120,151],"from":[7],"limited":[8],"examples":[9],"is":[10,28,61],"key":[12],"challenge":[13],"for":[14,94],"few-shot":[15,26,69,208,215],"classification.":[16],"Self-supervision":[17],"as":[18,130,148],"an":[19],"auxiliary":[20,115,144],"task":[21,27],"the":[23,37,49,73,91,95,101,119,137,168,175,187,207,213],"main":[24,50,96],"supervised":[25,128,166],"considered":[29],"be":[31],"conceivable":[33],"way":[34],"solve":[36],"problem":[38],"since":[39],"self-supervision":[40,142],"can":[41,182,200],"provide":[42],"additional":[43],"structural":[44],"information":[45,116,129,164,176],"easily":[46],"ignored":[47],"by":[48,57],"task.":[51],"However,":[52],"learning":[53,111,121,138,171,216],"good":[55],"traditional":[58],"self-supervised":[59,79,110,123,170],"methods":[60,80],"usually":[62],"dependent":[63],"on":[64,206],"large":[65],"training":[66],"samples.":[67],"In":[68,104],"scenarios,":[70],"due":[71],"lack":[74],"of":[75,122,141],"sufficient":[76],"samples,":[77],"these":[78],"might":[81],"biased":[84],"representation,":[85],"which":[86,181],"more":[87,155,162],"likely":[88],"leads":[89],"wrong":[92],"guidance":[93],"tasks":[97],"and":[98,135,153,167,173,185],"finally":[99],"causes":[100],"performance":[102],"degradation.":[103],"this":[105],"paper,":[106],"we":[107],"propose":[108],"conditional":[109],"(CSS)":[112],"use":[114],"guide":[118],"tasks.":[124],"Specifically,":[125],"CSS":[126,160],"leverages":[127],"prior":[131],"knowledge":[132],"shape":[134],"improve":[136],"manifold":[140],"without":[143,197],"unlabeled":[145],"data,":[146],"so":[147],"reduce":[150],"bias":[152],"mine":[154],"effective":[156],"semantic":[157],"information.":[158],"Moreover,":[159],"exploits":[161],"meaningful":[163],"through":[165],"improved":[169],"respectively":[172],"integrates":[174],"into":[177],"unified":[179],"distribution,":[180],"further":[183],"enrich":[184],"broaden":[186],"original":[188],"representation.":[189],"Extensive":[190],"experiments":[191],"demonstrate":[192],"that":[193],"our":[194],"proposed":[195],"method":[196],"any":[198],"fine-tuning":[199],"achieve":[201],"significant":[203],"accuracy":[204],"improvement":[205],"classification":[209],"scenarios":[210],"compared":[211],"state-of-the-art":[214],"methods.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}