{"id":"https://openalex.org/W3090199101","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206904","title":"Online Knowledge Acquisition with the Selective Inherited Model","display_name":"Online Knowledge Acquisition with the Selective Inherited Model","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090199101","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206904","mag":"3090199101"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5091909540","display_name":"Xiaocong Du","orcid":"https://orcid.org/0000-0002-1079-0347"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaocong Du","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062825809","display_name":"Shreyas Kolala Venkataramanaiah","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shreyas Kolala Venkataramanaiah","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415059","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0003-3309-1087"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007690955","display_name":"Jae-sun Seo","orcid":"https://orcid.org/0000-0002-4551-7789"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jae-sun Seo","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006587869","display_name":"Frank Liu","orcid":"https://orcid.org/0000-0001-6615-0739"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Liu","raw_affiliation_strings":["CSMD, Oak Ridge National Lab, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"CSMD, Oak Ridge National Lab, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740019","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0001-6968-1180"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091909540"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54963704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"7"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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":0.844821572303772},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.610556423664093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091437697410583},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.5064347982406616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5003237724304199},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.46542662382125854},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4523204565048218},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.29222455620765686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844821572303772},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.610556423664093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091437697410583},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.5064347982406616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5003237724304199},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.46542662382125854},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4523204565048218},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.29222455620765686},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":39,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1686810756","https://openalex.org/W1985683154","https://openalex.org/W2009872283","https://openalex.org/W2108598243","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2426267443","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2606861384","https://openalex.org/W2707890836","https://openalex.org/W2734314755","https://openalex.org/W2777662428","https://openalex.org/W2791091755","https://openalex.org/W2899771611","https://openalex.org/W2902625698","https://openalex.org/W2962724315","https://openalex.org/W2962933129","https://openalex.org/W2963072899","https://openalex.org/W2963446712","https://openalex.org/W2963540014","https://openalex.org/W2964189064","https://openalex.org/W2966225497","https://openalex.org/W2969343193","https://openalex.org/W2971075082","https://openalex.org/W2988559961","https://openalex.org/W3007143835","https://openalex.org/W3118608800","https://openalex.org/W4295883599","https://openalex.org/W4319988532","https://openalex.org/W6637373629","https://openalex.org/W6739917289","https://openalex.org/W6742852309","https://openalex.org/W6747381837","https://openalex.org/W6756040250","https://openalex.org/W6757384668","https://openalex.org/W6787972765","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2475116013","https://openalex.org/W2770018148","https://openalex.org/W2358308169","https://openalex.org/W2385135707","https://openalex.org/W2140315382","https://openalex.org/W2059109728","https://openalex.org/W322691623","https://openalex.org/W2494989134","https://openalex.org/W4289718052","https://openalex.org/W2509444723"],"abstract_inverted_index":{"Continual":[0],"learning,":[1],"which":[2],"updates":[3],"machine":[4],"learning":[5,111],"models":[6],"according":[7],"to":[8,33,48,150],"streaming":[9],"data,":[10],"is":[11,85,93,135,161,173],"increasingly":[12],"needed":[13],"in":[14,87,140,201,212],"the":[15,23,31,43,50,82,125,133,141,158,164,167,171,189],"dynamic":[16],"systems.":[17],"Such":[18],"a":[19,104],"scenario":[20],"requires":[21],"both":[22,128,181],"preservation":[24],"of":[25,127,157,166,180],"previous":[26,115],"knowledge,":[27],"as":[28,30,81],"well":[29],"adaptation":[32],"new":[34,151],"observations,":[35],"with":[36,198],"high":[37],"computational":[38],"and":[39,131,138,147,209],"memory":[40,62],"efficiency":[41],"at":[42],"edge.":[44],"Previous":[45],"approaches":[46,116],"attempt":[47],"learn":[49],"knowledge":[51,129,152],"class":[52,54],"by":[53,163,175,186],"from":[55,69,114],"scratch,":[56],"using":[57],"either":[58],"regularization":[59],"based":[60],"or":[61],"replay-based":[63],"methods.":[64],"However,":[65],"they":[66],"still":[67],"suffer":[68],"severe":[70],"accuracy":[71,184],"drop,":[72],"a.k.a":[73],"catastrophic":[74],"forgetting,":[75],"during":[76],"this":[77,100],"incremental":[78],"process.":[79],"Moreover,":[80],"entire":[83],"model":[84,121,134,160],"involved":[86],"each":[88],"updating,":[89],"their":[90],"computation":[91],"cost":[92],"too":[94],"expensive":[95],"for":[96],"edge":[97,196],"computing.":[98],"In":[99],"work,":[101],"we":[102],"propose":[103],"novel":[105],"brain-":[106],"inspired":[107],"paradigm":[108],"named":[109],"acquisitive":[110],"(AL).":[112],"Different":[113],"that":[117],"focus":[118],"only":[119],"on":[120,188,206],"adaptation,":[122],"AL":[123,194],"emphasizes":[124],"importance":[126],"inheritance":[130],"acquisition:":[132],"first":[136],"pre-trained":[137],"selected":[139],"cloud":[142],"(the":[143,153],"selective":[144],"inherited":[145,159],"model)":[146],"then":[148],"adapted":[149],"acquisition).":[154],"The":[155,178],"quality":[156],"monitored":[162],"landscape":[165],"loss":[168],"function,":[169],"while":[170],"acquisition":[172],"realized":[174],"segmented":[176],"training.":[177],"combination":[179],"steps":[182],"reduces":[183],"drop":[185],">10\u00d7":[187],"CIFAR-":[190],"100":[191],"dataset.":[192],"Furthermore,":[193],"benefits":[195],"computing":[197],"5\u00d7":[199],"reduction":[200,211],"latency":[202],"per":[203],"training":[204,213],"image":[205],"FPGA":[207],"prototype":[208],"150\u00d7":[210],"FLOPs.":[214]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
