{"id":"https://openalex.org/W4393002364","doi":"https://doi.org/10.1145/3652600","title":"SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification","display_name":"SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification","publication_year":2024,"publication_date":"2024-03-20","ids":{"openalex":"https://openalex.org/W4393002364","doi":"https://doi.org/10.1145/3652600"},"language":"en","primary_location":{"id":"doi:10.1145/3652600","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652600","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652600","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652600","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006061735","display_name":"Junfan Chen","orcid":"https://orcid.org/0000-0001-6807-0089"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junfan Chen","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027015677","display_name":"Richong Zhang","orcid":"https://orcid.org/0000-0002-1207-0300"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richong Zhang","raw_affiliation_strings":["Beihang University, Beijing, China and Zhongguancun Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China and Zhongguancun Laboratory, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106710500","display_name":"Xiaohan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Jiang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086470621","display_name":"Chunming Hu","orcid":"https://orcid.org/0000-0002-9502-3955"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Hu","raw_affiliation_strings":["Beihang University, Beijing, China and Zhongguancun Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China and Zhongguancun Laboratory, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006061735"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.044,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87920526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"42","issue":"5","first_page":"1","last_page":"25"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"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":0.9757000207901001,"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/computer-science","display_name":"Computer science","score":0.8613556623458862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625990629196167},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6141162514686584},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5299046039581299},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3397243022918701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8613556623458862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625990629196167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6141162514686584},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5299046039581299},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3397243022918701},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652600","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652600","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652600","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3652600","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652600","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652600","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1421742111","display_name":null,"funder_award_id":"U23B2056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393002364.pdf","grobid_xml":"https://content.openalex.org/works/W4393002364.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W880548201","https://openalex.org/W1493526108","https://openalex.org/W2157364932","https://openalex.org/W2187089797","https://openalex.org/W2296073425","https://openalex.org/W2338119550","https://openalex.org/W2358876993","https://openalex.org/W2808813201","https://openalex.org/W2809001617","https://openalex.org/W2905471643","https://openalex.org/W2939176882","https://openalex.org/W2964105864","https://openalex.org/W2964316912","https://openalex.org/W2970240670","https://openalex.org/W2971013448","https://openalex.org/W2971048662","https://openalex.org/W2971296908","https://openalex.org/W2979747407","https://openalex.org/W2990221466","https://openalex.org/W3034445880","https://openalex.org/W3035524453","https://openalex.org/W3045492832","https://openalex.org/W3080996465","https://openalex.org/W3092303407","https://openalex.org/W3104774463","https://openalex.org/W3113529090","https://openalex.org/W3115552943","https://openalex.org/W3166048453","https://openalex.org/W3171007011","https://openalex.org/W3172710079","https://openalex.org/W3174159092","https://openalex.org/W3176020109","https://openalex.org/W3186073506","https://openalex.org/W3188976178","https://openalex.org/W3190620190","https://openalex.org/W3205997337","https://openalex.org/W4210718984","https://openalex.org/W4224212929","https://openalex.org/W4225579889","https://openalex.org/W4226429075","https://openalex.org/W4287887177","https://openalex.org/W4290877193","https://openalex.org/W4290878031","https://openalex.org/W4293790978","https://openalex.org/W4296371110","https://openalex.org/W4297971002","https://openalex.org/W4306317272","https://openalex.org/W4306317334","https://openalex.org/W4306317705","https://openalex.org/W4309698070","https://openalex.org/W4389524551","https://openalex.org/W6785909547","https://openalex.org/W6802327984"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Meta-learning":[0],"has":[1],"recently":[2],"promoted":[3],"few-shot":[4,75,138,171],"text":[5,39,97,139,172],"classification,":[6],"which":[7],"identifies":[8],"target":[9],"classes":[10,17,43],"based":[11],"on":[12,31,122,136],"information":[13],"transferred":[14],"from":[15],"source":[16],"through":[18],"a":[19,57,89],"series":[20],"of":[21,124,170],"small":[22],"tasks":[23],"or":[24],"episodes.":[25],"Existing":[26],"works":[27],"constructing":[28],"their":[29],"meta-learner":[30],"Prototypical":[32],"Networks":[33],"need":[34,61],"improvement":[35],"in":[36,49],"learning":[37,91,102,161],"discriminative":[38,96],"representations":[40,98],"between":[41],"similar":[42],"that":[44,72,93,143,156,178],"may":[45],"lead":[46],"to":[47,62,126],"conflicts":[48],"label":[50],"prediction.":[51],"The":[52,151,174],"overfitting":[53,106],"problems":[54,83],"caused":[55],"by":[56],"few":[58],"training":[59,76,132,184],"instances":[60],"be":[63,78],"adequately":[64],"addressed.":[65],"In":[66],"addition,":[67],"efficient":[68,117],"episode":[69,119],"sampling":[70,120,181],"procedures":[71],"could":[73],"enhance":[74],"should":[77],"utilized.":[79],"To":[80],"address":[81],"the":[82,105,147,168],"mentioned":[84],"above,":[85],"we":[86,114],"first":[87],"present":[88],"contrastive":[90,101,110,159,164],"framework":[92],"simultaneously":[94],"learns":[95],"via":[99,108],"supervised":[100,158],"while":[103],"mitigating":[104],"problem":[107],"unsupervised":[109,163],"regularization,":[111],"and":[112,162],"then":[113],"build":[115],"an":[116],"self-paced":[118,180],"approach":[121],"top":[123],"it":[125],"include":[127],"more":[128],"difficult":[129],"episodes":[130],"as":[131],"progresses.":[133],"Empirical":[134],"results":[135],"eight":[137],"classification":[140],"datasets":[141],"show":[142],"our":[144,157,179],"model":[145],"outperforms":[146],"current":[148],"state-of-the-art":[149],"models.":[150],"extensive":[152],"experimental":[153],"analysis":[154,176],"demonstrates":[155],"representation":[160],"regularization":[165],"techniques":[166],"improve":[167],"performance":[169],"classification.":[173],"episode-sampling":[175],"reveals":[177],"strategy":[182],"improves":[183],"efficiency.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}