{"id":"https://openalex.org/W4405806373","doi":"https://doi.org/10.1587/transinf.2023edp7165","title":"POEM: Pruning with Output Error Minimization for Compressing Deep Neural Networks","display_name":"POEM: Pruning with Output Error Minimization for Compressing Deep Neural Networks","publication_year":2024,"publication_date":"2024-12-26","ids":{"openalex":"https://openalex.org/W4405806373","doi":"https://doi.org/10.1587/transinf.2023edp7165"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2023edp7165","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2023edp7165","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2023EDP7165/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2023EDP7165/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014087776","display_name":"Koji KAMMA","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji KAMMA","raw_affiliation_strings":["Wakayama University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112614625","display_name":"Toshikazu Wada","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshikazu WADA","raw_affiliation_strings":["Wakayama University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75198481"],"apc_list":null,"apc_paid":null,"fwci":0.2331,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67167252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"E108.D","issue":"7","first_page":"734","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9682000279426575,"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/T10320","display_name":"Neural Networks and Applications","score":0.9682000279426575,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9387000203132629,"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/computer-science","display_name":"Computer science","score":0.8467820882797241},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8113017082214355},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6475124359130859},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5964661836624146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5785216689109802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451934933662415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3901676535606384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34935951232910156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467820882797241},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8113017082214355},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6475124359130859},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5964661836624146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5785216689109802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451934933662415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3901676535606384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34935951232910156},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2023edp7165","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2023edp7165","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2023EDP7165/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2023edp7165","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2023edp7165","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2023EDP7165/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405806373.pdf","grobid_xml":"https://content.openalex.org/works/W4405806373.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1902934009","https://openalex.org/W1935978687","https://openalex.org/W2084910356","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2294543795","https://openalex.org/W2612445135","https://openalex.org/W2707890836","https://openalex.org/W2808168148","https://openalex.org/W2808483802","https://openalex.org/W2886851211","https://openalex.org/W2928560789","https://openalex.org/W2962851801","https://openalex.org/W2962956675","https://openalex.org/W2963145730","https://openalex.org/W2963363373","https://openalex.org/W2964137095","https://openalex.org/W2964233199","https://openalex.org/W2976540144","https://openalex.org/W2984618279","https://openalex.org/W3034674511","https://openalex.org/W3034818206","https://openalex.org/W3035297311","https://openalex.org/W3035467254","https://openalex.org/W3107407793","https://openalex.org/W3118775457","https://openalex.org/W3156528192","https://openalex.org/W3196865505","https://openalex.org/W4206509429","https://openalex.org/W4312377255","https://openalex.org/W4312690709","https://openalex.org/W4312739039","https://openalex.org/W4313037465","https://openalex.org/W4390871883","https://openalex.org/W4391306961"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W2964217848"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"are":[4,93,107],"dominant":[5],"in":[6,19,197],"the":[7,80,83,90,98,101,104,111,118,130,144,148,152,155,159,162,168,177,194,199,202],"field":[8],"of":[9,40,85,103,127,147,201],"Computer":[10],"Vision":[11],"(CV).":[12],"Although":[13],"DNN":[14,42,170],"models":[15,25,43,171],"show":[16,189],"state-of-the-art":[17],"performance":[18],"various":[20],"CV":[21],"tasks,":[22],"using":[23],"such":[24,53],"on":[26,143,167],"resource-limited":[27],"equipment":[28],"(mobile":[29],"phones,":[30],"in-vehicle":[31],"cameras,":[32],"and":[33,77,89,95,138,174,176,183],"so":[34,116],"on)":[35],"is":[36,48,51,87,133,140],"challenging.":[37],"Therefore,":[38],"techniques":[39],"compressing":[41],"without":[44],"significant":[45],"accuracy":[46,120,200],"loss":[47],"desired.":[49],"Pruning":[50,66],"one":[52],"technique":[54],"that":[55,117,134,190],"removes":[56],"redundant":[57],"neurons":[58,86,92,106],"(or":[59],"channels).":[60],"In":[61,79,97],"this":[62],"paper,":[63],"we":[64],"present":[65],"with":[67],"Output":[68],"Error":[69],"Minimization":[70],"(POEM).":[71],"POEM":[72,128,191],"has":[73],"two":[74],"steps:":[75],"pruning":[76,81,115],"reconstruction.":[78],"step,":[82,100],"importance":[84],"evaluated,":[88],"unimportant":[91],"selected":[94],"removed.":[96],"reconstruction":[99,139],"weights":[102],"remaining":[105],"tuned":[108],"to":[109],"compensate":[110],"error":[112,146,160],"caused":[113],"by":[114],"model":[119],"can":[121],"be":[122],"well":[123],"preserved.":[124],"The":[125,165,187],"advantage":[126],"over":[129],"previous":[131,156,195],"methods":[132,157,196],"both":[135],"neuron":[136],"selection":[137],"done":[141],"based":[142],"output":[145],"activation":[149,163],"functions.":[150,164],"On":[151],"other":[153],"hand,":[154],"minimize":[158],"before":[161],"experiments":[166],"well-known":[169],"(VGG,":[172],"ResNet,":[173],"MobileNet)":[175],"image":[178],"recognition":[179],"datasets":[180],"(ImageNet,":[181],"CUB-200-2011,":[182],"CIFAR-10)":[184],"were":[185],"conducted.":[186],"results":[188],"significantly":[192],"outperforms":[193],"maintaining":[198],"compressed":[203],"models.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}