{"id":"https://openalex.org/W4402353270","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650340","title":"High-Level Attention Meta-Learner for Class Incremental Learning","display_name":"High-Level Attention Meta-Learner for Class Incremental Learning","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353270","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650340"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114223399","display_name":"Yingjian Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjian Tian","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395752","display_name":"Hongbo Wang","orcid":"https://orcid.org/0000-0002-0976-9102"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015402888","display_name":"Xuhong Chen","orcid":"https://orcid.org/0000-0002-8777-6017"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhong Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107955621","display_name":"Yuanhao Li","orcid":"https://orcid.org/0009-0008-0955-2000"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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":0.9803000092506409,"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":0.7309153079986572},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6713331341743469},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.44992905855178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38753050565719604},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.13926735520362854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08719825744628906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309153079986572},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6713331341743469},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.44992905855178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38753050565719604},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.13926735520362854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08719825744628906},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1686810756","https://openalex.org/W2007339694","https://openalex.org/W2060277733","https://openalex.org/W2117539524","https://openalex.org/W2473930607","https://openalex.org/W2771964490","https://openalex.org/W2773246426","https://openalex.org/W2786446225","https://openalex.org/W2794363191","https://openalex.org/W2809558795","https://openalex.org/W2902625698","https://openalex.org/W2912515466","https://openalex.org/W2939137134","https://openalex.org/W2947843732","https://openalex.org/W2948336998","https://openalex.org/W2950184636","https://openalex.org/W2963430933","https://openalex.org/W2964189064","https://openalex.org/W2981420411","https://openalex.org/W2982410595","https://openalex.org/W3013325675","https://openalex.org/W3034911677","https://openalex.org/W3045840045","https://openalex.org/W3098511564","https://openalex.org/W3099351824","https://openalex.org/W3113238341","https://openalex.org/W3144281354","https://openalex.org/W3160949890","https://openalex.org/W3163842339","https://openalex.org/W3212386989","https://openalex.org/W4214662032","https://openalex.org/W4225524130","https://openalex.org/W4287814827","https://openalex.org/W4288336812","https://openalex.org/W4288346515","https://openalex.org/W4295883599","https://openalex.org/W4313133625","https://openalex.org/W4313173041","https://openalex.org/W4386071459","https://openalex.org/W6637373629","https://openalex.org/W6741087337","https://openalex.org/W6746643698","https://openalex.org/W6750222692","https://openalex.org/W6752606089","https://openalex.org/W6757384668","https://openalex.org/W6758205582","https://openalex.org/W6760842081","https://openalex.org/W6762959442","https://openalex.org/W6763195353","https://openalex.org/W6764247177","https://openalex.org/W6776188292","https://openalex.org/W6780863075","https://openalex.org/W6785446266","https://openalex.org/W6795124664","https://openalex.org/W6810342604"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Human":[0],"beings":[1],"can":[2,127],"continuously":[3],"improve":[4],"themselves":[5],"to":[6,25,28,44,60,70,84,135,151],"achieve":[7],"new":[8,46],"goals":[9],"depending":[10],"on":[11,15,77,165],"their":[12],"environment.":[13],"Based":[14,76],"this":[16],"situation,":[17],"researchers":[18],"are":[19],"constantly":[20],"optimizing":[21],"machine":[22],"learning":[23,42,58,83],"models":[24],"enable":[26],"them":[27],"have":[29],"similar":[30],"capabilities":[31],"as":[32],"humans.":[33],"As":[34],"one":[35],"of":[36,56,107,123],"the":[37,54,62,66,71,78,86,112,121,124,133,142,153],"research":[38],"areas,":[39],"class":[40,91],"incremental":[41,92],"aims":[43],"learn":[45],"tasks":[47,109],"over":[48],"time":[49],"without":[50],"forgetting.":[51],"In":[52],"addition,":[53],"aim":[55],"meta":[57,82],"is":[59],"integrate":[61],"knowledge":[63],"learned":[64],"in":[65,90],"past":[67,138],"and":[68,110,171],"adapt":[69],"current":[72],"task":[73,113,129,148],"more":[74],"quickly.":[75],"above,":[79],"we":[80,145],"use":[81],"alleviate":[85],"catastrophic":[87],"forgetting":[88],"problem":[89],"learning.":[93],"We":[94],"propose":[95],"a":[96,147],"method,":[97],"named":[98],"High-Level":[99],"Attention":[100],"Meta-Learner":[101],"(HLAML),":[102],"which":[103,126],"learns":[104],"shared":[105],"parameters":[106],"all":[108],"predicts":[111],"automatically.":[114],"HLAML":[115],"contains":[116],"an":[117],"attention":[118,143,154],"module":[119,155],"at":[120],"high-level":[122],"network":[125],"extract":[128,157],"information,":[130],"thus":[131],"helping":[132],"model":[134,161],"better":[136,156],"distinguish":[137],"tasks.":[139],"Furthermore,":[140],"for":[141],"module,":[144],"design":[146],"loss":[149],"function":[150],"help":[152],"task-related":[158],"features.":[159],"Our":[160],"achieves":[162],"excellent":[163],"performances":[164],"MNIST,":[166],"SVHN,":[167],"CIFAR10,":[168],"CIFAR100,":[169],"ImageNet100,":[170],"ImageNet1000.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}