{"id":"https://openalex.org/W4414575500","doi":"https://doi.org/10.48550/arxiv.2503.08064","title":"Continual Learning for Multiple Modalities","display_name":"Continual Learning for Multiple Modalities","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4414575500","doi":"https://doi.org/10.48550/arxiv.2503.08064"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.08064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08064","pdf_url":"https://arxiv.org/pdf/2503.08064","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.08064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081746934","display_name":"Hyundong Jin","orcid":"https://orcid.org/0000-0001-5313-5652"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin, Hyundong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074532898","display_name":"Eunwoo Kim","orcid":"https://orcid.org/0000-0003-0840-0044"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Eunwoo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081746934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8403000235557556,"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/T12031","display_name":"Speech and dialogue systems","score":0.8403000235557556,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8377000093460083,"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/T14025","display_name":"Educational Technology and Assessment","score":0.7836999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/modalities","display_name":"Modalities","score":0.8754000067710876},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8222000002861023},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.746999979019165},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.34860000014305115},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3303000032901764},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.32850000262260437}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8754000067710876},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8222000002861023},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.746999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243000268936157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6036999821662903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28060001134872437},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.2662000060081482}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.08064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08064","pdf_url":"https://arxiv.org/pdf/2503.08064","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.08064","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.08064","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.08064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08064","pdf_url":"https://arxiv.org/pdf/2503.08064","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continual":[0],"learning":[1,51,182],"aims":[2],"to":[3,25,67,127,161],"learn":[4,26],"knowledge":[5,102,112,131,146],"of":[6,17,83,100,103,180,202,206],"tasks":[7],"observed":[8],"in":[9,38,124,176,198],"sequential":[10],"time":[11],"steps":[12],"while":[13,113],"mitigating":[14],"the":[15,81,90,98,133,173,199,204,207],"forgetting":[16,84],"previously":[18,85,148],"learned":[19,86,125],"knowledge.":[20],"Existing":[21],"methods":[22,197],"were":[23],"designed":[24],"a":[27,48,65,107,159,177],"single":[28],"modality":[29,163,208],"(e.g.,":[30],"image)":[31],"over":[32],"time,":[33],"which":[34],"limits":[35],"their":[36,153],"applicability":[37],"scenarios":[39,183],"involving":[40],"multiple":[41,55,185],"modalities.":[42,137,170,189],"In":[43],"this":[44,79],"work,":[45],"we":[46,105,157],"propose":[47,106],"novel":[49,130],"continual":[50,181],"framework":[52,108],"that":[53,109,193],"accommodates":[54],"modalities":[56,70,150],"(image,":[57],"video,":[58],"audio,":[59],"depth,":[60],"and":[61],"text).":[62],"We":[63,171],"train":[64],"model":[66],"align":[68],"various":[69],"with":[71,187],"text,":[72],"leveraging":[73],"its":[74],"rich":[75],"semantic":[76],"information.":[77,117],"However,":[78],"increases":[80],"risk":[82],"knowledge,":[87],"exacerbated":[88],"by":[89,121,143],"differing":[91],"input":[92],"traits":[93],"across":[94,136],"tasks.":[95],"To":[96],"alleviate":[97],"overwriting":[99],"previous":[101],"modalities,":[104],"consolidates":[110],"intra-modal":[111],"incorporating":[114],"relevant":[115],"inter-modal":[116,141],"This":[118],"is":[119,209],"achieved":[120],"self-regulating":[122],"shifts":[123],"representations":[126],"gradually":[128],"integrating":[129,145],"into":[132],"information":[134],"retained":[135],"Simultaneously,":[138],"it":[139],"mitigates":[140],"interference":[142],"selectively":[144],"from":[147],"encountered":[149],"based":[151],"on":[152],"mutual":[154],"relevance.":[155],"Furthermore,":[156],"introduce":[158],"strategy":[160],"re-align":[162],"embeddings,":[164],"effectively":[165],"addressing":[166],"biased":[167],"alignment":[168],"between":[169],"evaluate":[172],"proposed":[174],"method":[175],"wide":[178],"range":[179],"using":[184],"datasets":[186],"different":[188],"Extensive":[190],"experiments":[191],"demonstrate":[192],"ours":[194],"outperforms":[195],"existing":[196],"scenarios,":[200],"regardless":[201],"whether":[203],"identity":[205],"given.":[210]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
