{"id":"https://openalex.org/W4389161262","doi":"https://doi.org/10.1109/lsp.2023.3338092","title":"Multi-Agent Lifelong Implicit Neural Learning","display_name":"Multi-Agent Lifelong Implicit Neural Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389161262","doi":"https://doi.org/10.1109/lsp.2023.3338092"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3338092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3338092","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5068682350","display_name":"Soheil Kolouri","orcid":"https://orcid.org/0000-0001-8495-5362"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soheil Kolouri","raw_affiliation_strings":["CS Department, Vanderbilt University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"CS Department, Vanderbilt University, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476807","display_name":"Ali Abbasi","orcid":"https://orcid.org/0009-0008-4116-0920"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Abbasi","raw_affiliation_strings":["CS Department, Vanderbilt University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"CS Department, Vanderbilt University, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084289151","display_name":"Soroush Abbasi Koohpayegani","orcid":"https://orcid.org/0000-0001-8023-1519"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroush Abbasi Koohpayegani","raw_affiliation_strings":["CS Department, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"CS Department, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089166523","display_name":"Parsa Nooralinejad","orcid":"https://orcid.org/0009-0004-2546-3682"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parsa Nooralinejad","raw_affiliation_strings":["CS Department, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"CS Department, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031860916","display_name":"Hamed Pirsiavash","orcid":"https://orcid.org/0000-0002-2528-3305"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Pirsiavash","raw_affiliation_strings":["CS Department, University of California, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"CS Department, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068682350"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":1.049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81856283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"1812","last_page":"1816"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9965000152587891,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8120716214179993},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.7180086970329285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544002652168274},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.524109959602356},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5067835450172424},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4824979305267334},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4768468141555786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4390219449996948},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43235546350479126},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4316653907299042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41717249155044556},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.41161084175109863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120716214179993},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.7180086970329285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544002652168274},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.524109959602356},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5067835450172424},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4824979305267334},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4768468141555786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4390219449996948},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43235546350479126},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4316653907299042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41717249155044556},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.41161084175109863},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3338092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3338092","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1543972302","display_name":null,"funder_award_id":"HR00112090023","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4494153776","display_name":null,"funder_award_id":"HR00112190135","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7617417322","display_name":null,"funder_award_id":"HR00112290115","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2565989828","https://openalex.org/W2788388592","https://openalex.org/W2807006176","https://openalex.org/W2963926543","https://openalex.org/W2964189064","https://openalex.org/W2965043358","https://openalex.org/W2994171714","https://openalex.org/W2995022099","https://openalex.org/W2997117931","https://openalex.org/W3013860853","https://openalex.org/W3030364939","https://openalex.org/W3109585842","https://openalex.org/W3153220274","https://openalex.org/W3176946833","https://openalex.org/W3192352794","https://openalex.org/W3195875706","https://openalex.org/W3196371845","https://openalex.org/W4213283554","https://openalex.org/W4220918847","https://openalex.org/W4283785867","https://openalex.org/W4297846303","https://openalex.org/W4311593456","https://openalex.org/W4312108280","https://openalex.org/W4312210066","https://openalex.org/W4312796583","https://openalex.org/W4383108551","https://openalex.org/W4386076471","https://openalex.org/W4387389928","https://openalex.org/W6744062601","https://openalex.org/W6752029299","https://openalex.org/W6771234588","https://openalex.org/W6771852177","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6788603650","https://openalex.org/W6794249362","https://openalex.org/W6803493554","https://openalex.org/W6809503165","https://openalex.org/W6810825775","https://openalex.org/W6838761057","https://openalex.org/W6847833339","https://openalex.org/W6852509917","https://openalex.org/W6856945240"],"related_works":["https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2382709029","https://openalex.org/W2389147080","https://openalex.org/W2377883125","https://openalex.org/W2362479786","https://openalex.org/W2392455911","https://openalex.org/W2374248756","https://openalex.org/W2375492428","https://openalex.org/W2350419982"],"abstract_inverted_index":{"Implicit":[0],"neural":[1],"representations":[2],"(INRs)":[3],"have":[4],"emerged":[5],"as":[6],"powerful":[7],"tools":[8],"for":[9,55],"the":[10,69,96],"continuous":[11],"representation":[12],"of":[13,71,98],"signals,":[14],"finding":[15],"applications":[16],"in":[17,30,40],"imaging,":[18],"computer":[19],"graphics,":[20],"and":[21,38,42,64,77],"signal":[22],"compression.":[23],"Additionally,":[24],"decentralized":[25],"multi-agent":[26,50],"systems":[27,54,73],"are":[28],"crucial":[29],"various":[31],"applications,":[32],"frequently":[33],"leading":[34],"to":[35,67,75,95],"enhanced":[36],"reliability":[37],"efficiencies":[39],"computation":[41],"communication.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"explore":[48],"using":[49],"Lifelong":[51],"Learning":[52],"(LL)":[53],"learning":[56,79],"INRs.":[57],"We":[58],"propose":[59],"a":[60,92],"rigorous":[61],"problem":[62],"setup":[63],"evaluation":[65],"plan":[66],"investigate":[68],"efficacy":[70],"such":[72],"compared":[74],"single-agent":[76],"multi-task":[78],"baselines.":[80],"Our":[81],"research,":[82],"conducted":[83],"across":[84],"varied":[85],"dimensions,":[86],"demonstrates":[87],"promising":[88],"results,":[89],"thereby":[90],"contributing":[91],"novel":[93],"perspective":[94],"realm":[97],"continual":[99],"learning.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}