{"id":"https://openalex.org/W4402592514","doi":"https://doi.org/10.1109/tnnls.2024.3454237","title":"Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning","display_name":"Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4402592514","doi":"https://doi.org/10.1109/tnnls.2024.3454237","pmid":"https://pubmed.ncbi.nlm.nih.gov/39292573"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3454237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3454237","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007209138","display_name":"Hang Ran","orcid":"https://orcid.org/0000-0003-1759-6085"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Ran","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1759-6085","affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004694827","display_name":"Xingyu Gao","orcid":"https://orcid.org/0000-0002-4660-8092"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Gao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4660-8092","affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006167598","display_name":"Lusi Li","orcid":"https://orcid.org/0000-0002-4323-2632"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lusi Li","raw_affiliation_strings":["Department of Computer Science, Old Dominion University, Norfolk, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4323-2632","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Old Dominion University, Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weijun Li","orcid":"https://orcid.org/0000-0001-9668-2883"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Li","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9668-2883","affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058023627","display_name":"Songsong Tian","orcid":"https://orcid.org/0009-0006-1264-3873"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songsong Tian","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600473","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0003-4742-8103"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Computing and Data Engineering, NingboTech University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hailong Shi","orcid":"https://orcid.org/0009-0002-6545-1999"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Shi","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6545-1999","affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xin Ning","orcid":"https://orcid.org/0000-0001-7897-1673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ning","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7897-1673","affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5007209138"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"],"apc_list":null,"apc_paid":null,"fwci":5.9604,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96736135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"7","first_page":"13417","last_page":"13430"},"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":0.9678000211715698,"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":0.9678000211715698,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9243999719619751,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.619400680065155},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5963254570960999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541937530040741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4857836067676544},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.349342405796051},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08583381772041321}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.619400680065155},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5963254570960999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541937530040741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4857836067676544},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.349342405796051},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08583381772041321},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3454237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3454237","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39292573","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39292573","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1333402700","display_name":null,"funder_award_id":"62376264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3524576899","display_name":null,"funder_award_id":"2023J280","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G4148571035","display_name":null,"funder_award_id":"2023J280","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5224578973","display_name":null,"funder_award_id":"2022ZD0208700","funder_id":"https://openalex.org/F4320336612","funder_display_name":"Science and Technology Innovation Foundation of Harbin"},{"id":"https://openalex.org/G8748841592","display_name":null,"funder_award_id":"62373343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336612","display_name":"Science and Technology Innovation Foundation of Harbin","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W2047643928","https://openalex.org/W2143045663","https://openalex.org/W2424347275","https://openalex.org/W2560647685","https://openalex.org/W3034942609","https://openalex.org/W3035342403","https://openalex.org/W3046698617","https://openalex.org/W3047669212","https://openalex.org/W3112858938","https://openalex.org/W3113584014","https://openalex.org/W3119438769","https://openalex.org/W3157898411","https://openalex.org/W3168464182","https://openalex.org/W3175270254","https://openalex.org/W3175771944","https://openalex.org/W3176779063","https://openalex.org/W3177494822","https://openalex.org/W3185341429","https://openalex.org/W3198377975","https://openalex.org/W3198636227","https://openalex.org/W4210311961","https://openalex.org/W4226134030","https://openalex.org/W4239187508","https://openalex.org/W4246193833","https://openalex.org/W4281261996","https://openalex.org/W4292973282","https://openalex.org/W4296916378","https://openalex.org/W4312238419","https://openalex.org/W4312310776","https://openalex.org/W4312327301","https://openalex.org/W4312351187","https://openalex.org/W4312572119","https://openalex.org/W4312651322","https://openalex.org/W4312865701","https://openalex.org/W4313005250","https://openalex.org/W4313125684","https://openalex.org/W4320731432","https://openalex.org/W4372330959","https://openalex.org/W4383100519","https://openalex.org/W4386057810","https://openalex.org/W4386071989","https://openalex.org/W4386160081","https://openalex.org/W4386336875","https://openalex.org/W4388037272","https://openalex.org/W4391202802","https://openalex.org/W4393149136","https://openalex.org/W4402727689","https://openalex.org/W4402917202","https://openalex.org/W6638575559","https://openalex.org/W6638677478","https://openalex.org/W6684191040","https://openalex.org/W6739469555","https://openalex.org/W6746643698","https://openalex.org/W6759579507","https://openalex.org/W6762959442","https://openalex.org/W6787972765","https://openalex.org/W6790003725","https://openalex.org/W6791353385","https://openalex.org/W6793828554","https://openalex.org/W6796581206","https://openalex.org/W6802312230","https://openalex.org/W6802903043","https://openalex.org/W6809871153","https://openalex.org/W6838872716","https://openalex.org/W6845412689","https://openalex.org/W6849248325","https://openalex.org/W6861414668"],"related_works":["https://openalex.org/W4391375266","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"],"abstract_inverted_index":{"Few-shot":[0],"class-incremental":[1],"learning":[2,29,78,151],"(FSCIL)":[3],"aims":[4],"to":[5,102,127,145],"learn":[6,128],"new":[7,129],"classes":[8],"incrementally":[9],"with":[10,21,34],"a":[11,93,132,147],"limited":[12,133],"number":[13,134],"of":[14,75,135,168],"samples":[15],"per":[16],"class.":[17],"Foundation":[18],"models":[19,101],"combined":[20],"prompt":[22,44,89,95],"tuning":[23,45,90,96],"showcase":[24],"robust":[25],"generalization":[26],"and":[27,72,87,115,143,152,166],"zero-shot":[28],"(ZSL)":[30],"capabilities,":[31],"endowing":[32],"them":[33],"potential":[35],"advantages":[36],"in":[37,48,59,81],"transfer":[38],"capabilities":[39],"for":[40,50,98],"FSCIL.":[41],"However,":[42],"existing":[43],"methods":[46],"excel":[47],"optimizing":[49],"stationary":[51],"datasets,":[52],"diverging":[53],"from":[54,69],"the":[55,60,70,76,82,103,108,164],"inherent":[56],"sequential":[57],"nature":[58],"FSCIL":[61,91,104],"paradigm.":[62],"To":[63],"address":[64],"this":[65],"issue,":[66],"taking":[67],"inspiration":[68],"\"fast":[71],"slow":[73],"mechanism\"":[74],"complementary":[77],"systems":[79],"(CLSs)":[80],"brain,":[83],"we":[84,162],"present":[85],"fast-":[86],"slow-update":[88,116,138],"(FSPT-FSCIL),":[92],"brain-inspired":[94],"method":[97],"transferring":[99],"foundation":[100],"task.":[105],"We":[106],"categorize":[107],"prompts":[109,114,125,139],"into":[110],"two":[111],"groups:":[112],"fast-update":[113],"prompts,":[117],"which":[118],"are":[119],"interactively":[120],"trained":[121],"through":[122],"meta-learning.":[123],"Fast-update":[124],"aim":[126,144],"knowledge":[130],"within":[131],"iterations,":[136],"while":[137],"serve":[140],"as":[141],"meta-knowledge":[142],"strike":[146],"balance":[148],"between":[149],"rapid":[150],"avoiding":[153],"catastrophic":[154],"forgetting.":[155],"Through":[156],"experiments":[157],"on":[158],"multiple":[159],"benchmark":[160],"tests,":[161],"demonstrate":[163],"effectiveness":[165],"superiority":[167],"FSPT-FSCIL.":[169],"The":[170],"code":[171],"is":[172],"available":[173],"at":[174],"https://github.com/qihangran/FSPT-FSCIL.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
