{"id":"https://openalex.org/W3161980820","doi":"https://doi.org/10.1109/icassp39728.2021.9414526","title":"Prototype-Based Personalized Pruning","display_name":"Prototype-Based Personalized Pruning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161980820","doi":"https://doi.org/10.1109/icassp39728.2021.9414526","mag":"3161980820"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101905019","display_name":"Jangho Kim","orcid":"https://orcid.org/0000-0002-4670-0390"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jangho Kim","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112998078","display_name":"Simyung Chang","orcid":"https://orcid.org/0000-0001-7750-191X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simyung Chang","raw_affiliation_strings":["Qualcomm AI Research\u2020 Qualcomm Korea YH"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research\u2020 Qualcomm Korea YH","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111377015","display_name":"Sungrack Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungrack Yun","raw_affiliation_strings":["Qualcomm AI Research\u2020 Qualcomm Korea YH"],"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research\u2020 Qualcomm Korea YH","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084897975","display_name":"Nojun Kwak","orcid":"https://orcid.org/0000-0002-1792-0327"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nojun Kwak","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101905019"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.3875,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59772425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3925","last_page":"3929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.8690471649169922},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8596701622009277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8500905632972717},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7583075761795044},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.631035327911377},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4963560700416565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47186702489852905},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4706793427467346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4070454239845276},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14694875478744507},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.0805339515209198}],"concepts":[{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.8690471649169922},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8596701622009277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500905632972717},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7583075761795044},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.631035327911377},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4963560700416565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47186702489852905},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4706793427467346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4070454239845276},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14694875478744507},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0805339515209198},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/205700","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/205700","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2056738732","https://openalex.org/W2119144962","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2547875792","https://openalex.org/W2572102653","https://openalex.org/W2601450892","https://openalex.org/W2752037867","https://openalex.org/W2884751099","https://openalex.org/W2938998646","https://openalex.org/W2963386851","https://openalex.org/W2963534679","https://openalex.org/W2964187693","https://openalex.org/W2964299589","https://openalex.org/W2996994879","https://openalex.org/W3001625344","https://openalex.org/W3008790380","https://openalex.org/W3028224987","https://openalex.org/W3049433044","https://openalex.org/W3118608800","https://openalex.org/W4366344170","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6698200048","https://openalex.org/W6700264148","https://openalex.org/W6729448088","https://openalex.org/W6735236233","https://openalex.org/W6743912273","https://openalex.org/W6748082341","https://openalex.org/W6762117844","https://openalex.org/W6778501524","https://openalex.org/W6781734511","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"Nowadays,":[0],"as":[1,5],"edge":[2,24,45,84],"devices":[3,25,46],"such":[4],"smartphones":[6],"become":[7],"prevalent,":[8],"there":[9],"are":[10,20],"increasing":[11],"demands":[12],"for":[13,23,44],"personalized":[14,97],"services.":[15],"However,":[16],"traditional":[17],"personalization":[18,93,105],"methods":[19,53],"not":[21],"suitable":[22],"because":[26],"retraining":[27,64,133],"or":[28,134],"finetuning":[29],"is":[30],"needed":[31],"with":[32,47,119],"limited":[33,48],"personal":[34,126],"data.":[35],"Also,":[36],"a":[37,81,91,111,120,143],"full":[38],"model":[39,51,58,107],"might":[40],"be":[41,80],"too":[42],"heavy":[43],"resources.":[49],"Unfortunately,":[50],"compression":[52],"which":[54,78],"can":[55,79,114],"handle":[56],"the":[57,63,117,123,138],"complexity":[59],"issue":[60],"also":[61],"require":[62],"phase.":[65],"These":[66],"multiple":[67],"training":[68,110],"phases":[69],"generally":[70],"need":[71],"huge":[72],"computational":[73],"cost":[74],"during":[75],"on-device":[76],"learning":[77],"burden":[82],"to":[83],"devices.":[85],"In":[86],"this":[87],"work,":[88],"we":[89],"propose":[90],"dynamic":[92],"method":[94],"called":[95],"prototype-based":[96],"pruning":[98],"(PPP).":[99],"PPP":[100,113,141],"considers":[101],"both":[102],"ends":[103],"of":[104,125,140,145],"and":[106,128,150],"efficiency.":[108],"After":[109],"network,":[112],"easily":[115],"prune":[116],"network":[118],"prototype":[121],"representing":[122],"characteristics":[124],"data":[127],"it":[129],"performs":[130],"well":[131],"without":[132],"finetuning.":[135],"We":[136],"verify":[137],"usefulness":[139],"on":[142],"couple":[144],"tasks":[146],"in":[147],"computer":[148],"vision":[149],"Keyword":[151],"spotting.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}