{"id":"https://openalex.org/W3201307554","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533797","title":"Multi-Modal Meta Continual Learning","display_name":"Multi-Modal Meta Continual Learning","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201307554","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533797","mag":"3201307554"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5088628044","display_name":"Sibo Gai","orcid":"https://orcid.org/0000-0002-9671-7924"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sibo Gai","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","School of Engineering, Westlake University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886932","display_name":"Zhengyu Chen","orcid":"https://orcid.org/0000-0003-1132-023X"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyu Chen","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665183","display_name":"Donglin Wang","orcid":"https://orcid.org/0000-0003-1359-6440"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Wang","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, China","Westlake Institute for Advanced Study, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]},{"raw_affiliation_string":"Westlake Institute for Advanced Study, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088628044"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I3133055985"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49367647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9858999848365784,"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/modal","display_name":"Modal","score":0.7669641375541687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643081545829773},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7138235569000244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6380059719085693},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.576434850692749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5692129731178284},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5495825409889221},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49746063351631165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46434125304222107},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44385960698127747},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.30062729120254517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1205039918422699}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7669641375541687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643081545829773},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7138235569000244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6380059719085693},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.576434850692749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5692129731178284},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5495825409889221},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49746063351631165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46434125304222107},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44385960698127747},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.30062729120254517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1205039918422699},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/ijcnn52387.2021.9533797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1797268635","https://openalex.org/W1821462560","https://openalex.org/W1846799578","https://openalex.org/W2108598243","https://openalex.org/W2159246181","https://openalex.org/W2160684493","https://openalex.org/W2187089797","https://openalex.org/W2401823607","https://openalex.org/W2473930607","https://openalex.org/W2545656684","https://openalex.org/W2604763608","https://openalex.org/W2605043629","https://openalex.org/W2734314755","https://openalex.org/W2737492962","https://openalex.org/W2743151379","https://openalex.org/W2753160622","https://openalex.org/W2760103357","https://openalex.org/W2765101016","https://openalex.org/W2785567898","https://openalex.org/W2788629937","https://openalex.org/W2798270772","https://openalex.org/W2798836702","https://openalex.org/W2803552920","https://openalex.org/W2804175194","https://openalex.org/W2898265486","https://openalex.org/W2902456977","https://openalex.org/W2902625698","https://openalex.org/W2906141031","https://openalex.org/W2946757877","https://openalex.org/W2949995560","https://openalex.org/W2962723986","https://openalex.org/W2962724315","https://openalex.org/W2962799101","https://openalex.org/W2962974533","https://openalex.org/W2963003887","https://openalex.org/W2963344337","https://openalex.org/W2963390791","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963560049","https://openalex.org/W2963577698","https://openalex.org/W2963850662","https://openalex.org/W2964118293","https://openalex.org/W2964189064","https://openalex.org/W2965661443","https://openalex.org/W2970505118","https://openalex.org/W2970586779","https://openalex.org/W2971184120","https://openalex.org/W2995253937","https://openalex.org/W2996653965","https://openalex.org/W3003296750","https://openalex.org/W3008449794","https://openalex.org/W3021931813","https://openalex.org/W3090618925","https://openalex.org/W3102438316","https://openalex.org/W3140581741","https://openalex.org/W3161683386","https://openalex.org/W4288346515","https://openalex.org/W4289117725","https://openalex.org/W4295883599","https://openalex.org/W4297813345","https://openalex.org/W4298857780","https://openalex.org/W4301163820","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6638677478","https://openalex.org/W6683484867","https://openalex.org/W6713057566","https://openalex.org/W6720711607","https://openalex.org/W6729110096","https://openalex.org/W6736057607","https://openalex.org/W6736334413","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6743661861","https://openalex.org/W6745121187","https://openalex.org/W6747947074","https://openalex.org/W6748263980","https://openalex.org/W6751281049","https://openalex.org/W6751591294","https://openalex.org/W6752540598","https://openalex.org/W6755950020","https://openalex.org/W6756754374","https://openalex.org/W6757384668","https://openalex.org/W6757988401","https://openalex.org/W6760378562","https://openalex.org/W6762959442","https://openalex.org/W6763049584","https://openalex.org/W6763411897","https://openalex.org/W6764998394","https://openalex.org/W6767291801","https://openalex.org/W6774313160","https://openalex.org/W6792485672","https://openalex.org/W6794907229"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4283736627","https://openalex.org/W4308755723","https://openalex.org/W3163412989"],"abstract_inverted_index":{"Recently,":[0],"meta":[1,38,63],"learning":[2,39,65],"methods":[3],"able":[4,70],"to":[5,14,52,71,101,115,123,150],"provide":[6],"multiple":[7],"initializations":[8],"have":[9],"drawn":[10],"much":[11],"attention":[12],"due":[13],"its":[15],"capability":[16,85],"of":[17,86,90,104,146],"handling":[18],"multi-modal":[19,26,56,62],"tasks.":[20],"However,":[21],"the":[22,29,45,84,88,112,133,138,143,151],"modal":[23,134],"differences":[24,135],"in":[25,81,99,148],"distributions":[27],"aggravate":[28,137],"catastrophic":[30,139],"forgetting.":[31],"In":[32,97],"this":[33],"paper,":[34],"we":[35,59,110],"augment":[36],"multi-initial":[37],"for":[40],"continual":[41,64],"learning,":[42],"which":[43,68],"alleviates":[44],"forgetting":[46,73],"issue":[47],"while":[48],"allowing":[49],"beneficial":[50],"transfer":[51],"previous":[53],"tasks":[54],"from":[55,93],"distributions.":[57,96],"Specifically,":[58],"propose":[60],"a":[61,124],"(M3CL)":[66],"framework,":[67],"is":[69],"mitigate":[72],"via":[74],"gradient":[75],"episodic":[76],"memory":[77],"(GEM).":[78],"Modulation":[79],"network":[80,107,119],"M3CL":[82,147],"has":[83],"identifying":[87],"mode":[89],"each":[91],"image":[92],"online":[94],"multimodal":[95,129],"addition,":[98],"order":[100],"take":[102],"advantage":[103],"both":[105],"modulation":[106,118],"and":[108,120,141],"GEM,":[109],"consider":[111],"entropy-based":[113],"regularization":[114],"learn":[116],"effective":[117],"penalize":[121],"overfitting":[122],"specific":[125],"task.":[126],"Experiments":[127],"on":[128],"datasets":[130],"identify":[131],"that":[132],"indeed":[136],"forgetting,":[140],"demonstrate":[142],"strong":[144],"performance":[145],"comparison":[149],"state-of-the-art.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
