{"id":"https://openalex.org/W4402829731","doi":"https://doi.org/10.1109/ojcs.2024.3467182","title":"Removing Neurons From Deep Neural Networks Trained With Tabular Data","display_name":"Removing Neurons From Deep Neural Networks Trained With Tabular Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402829731","doi":"https://doi.org/10.1109/ojcs.2024.3467182"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2024.3467182","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3467182","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcs.2024.3467182","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092277023","display_name":"Antti Klemetti","orcid":"https://orcid.org/0000-0001-6578-6284"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Antti Klemetti","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0001-6578-6284","affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069920909","display_name":"Mikko Raatikainen","orcid":"https://orcid.org/0000-0002-2410-0722"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mikko Raatikainen","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-2410-0722","affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092580474","display_name":"Juhani Kivim\u00e4ki","orcid":"https://orcid.org/0000-0002-9673-9760"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juhani Kivim\u00e4ki","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-9673-9760","affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006567200","display_name":"Lalli Myllyaho","orcid":"https://orcid.org/0000-0002-0953-9825"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lalli Myllyaho","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-0953-9825","affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042260991","display_name":"Jukka K. Nurminen","orcid":"https://orcid.org/0000-0001-5083-1927"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka K. Nurminen","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0001-5083-1927","affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092277023"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1381569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"542","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7766000032424927,"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":0.7766000032424927,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.639187216758728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527233481407166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327190160751343},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48451393842697144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766372501850128},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.33015644550323486},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19919204711914062}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.639187216758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527233481407166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327190160751343},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48451393842697144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766372501850128},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.33015644550323486},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19919204711914062}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2024.3467182","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3467182","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d3877c3d230a41d2aaf6cf301b5273c4","is_oa":true,"landing_page_url":"https://doaj.org/article/d3877c3d230a41d2aaf6cf301b5273c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Computer Society, Vol 5, Pp 542-552 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2024.3467182","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3467182","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328501","display_name":"Business Finland","ror":"https://ror.org/05bgf9v38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1999085092","https://openalex.org/W2084910356","https://openalex.org/W2119144962","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2606722458","https://openalex.org/W2794670651","https://openalex.org/W2805003733","https://openalex.org/W2886851211","https://openalex.org/W2896409484","https://openalex.org/W2898017895","https://openalex.org/W2943925420","https://openalex.org/W2950656546","https://openalex.org/W2962965870","https://openalex.org/W2965373594","https://openalex.org/W3197720002","https://openalex.org/W3217278827","https://openalex.org/W4200323562","https://openalex.org/W4292169167","https://openalex.org/W4297775537","https://openalex.org/W4322718191","https://openalex.org/W4377866424","https://openalex.org/W4382238821","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6678583879","https://openalex.org/W6679909955","https://openalex.org/W6684191040","https://openalex.org/W6695314431","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6751979845","https://openalex.org/W6755843862","https://openalex.org/W6766673545","https://openalex.org/W6767220000","https://openalex.org/W6778883912","https://openalex.org/W6799690380","https://openalex.org/W6850625674","https://openalex.org/W6853007799"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Deep":[0],"neural":[1,24,43,109],"networks":[2,25,44,110],"bear":[3],"substantial":[4],"cloud":[5],"computational":[6,184],"loads":[7],"and":[8,49,75,103,132,146,181],"often":[9],"surpass":[10],"client":[11],"devices'":[12],"capabilities.":[13],"Research":[14],"has":[15,38],"concentrated":[16],"on":[17,211],"reducing":[18],"the":[19,137,176,204,208,212,223,227],"inference":[20,187],"burden":[21],"of":[22,89,98,143,156,178,226],"convolutional":[23],"processing":[26],"images.":[27],"Unstructured":[28],"pruning,":[29,51],"which":[30,52,190],"leads":[31],"to":[32,188,202],"sparse":[33],"matrices":[34,55],"requiring":[35],"specialized":[36],"hardware,":[37,59],"been":[39],"extensively":[40],"studied.":[41],"However,":[42,196],"trained":[45,111],"with":[46,112,140,162],"tabular":[47,113],"data":[48],"structured":[50],"produces":[53],"dense":[54],"handled":[56],"by":[57,71,80],"standard":[58],"are":[60,218],"less":[61],"explored.":[62],"We":[63,91,220],"compare":[64],"two":[65],"approaches:":[66],"1)":[67],"Removing":[68],"neurons":[69,217],"followed":[70,79],"training":[72,84],"from":[73,107,126,186],"scratch,":[74],"2)":[76],"Structured":[77],"pruning":[78],"fine-tuning":[81,157,164],"through":[82],"additional":[83],"over":[85],"a":[86,236],"limited":[87],"number":[88],"epochs.":[90],"evaluate":[92],"these":[93],"approaches":[94],"using":[95],"three":[96],"models":[97,125,172,234],"varying":[99],"sizes":[100],"(1.5,":[101],"9.2,":[102],"118.7":[104],"million":[105],"parameters)":[106],"Kaggle-winning":[108],"data.":[114],"Approach":[115,119,127,149,168,194,197],"1":[116,128,169],"consistently":[117],"outperformed":[118],"2":[120,150,198],"in":[121,175,193,231],"predictive":[122,160,214],"performance.":[123],"The":[124],"had":[129],"52%,":[130],"8%,":[131],"12%":[133],"fewer":[134],"parameters":[135],"than":[136],"original":[138],"models,":[139],"latency":[141],"reductions":[142],"18%,":[144],"5%,":[145,147],"respectively.":[148],"required":[151],"at":[152],"least":[153,209],"one":[154],"epoch":[155],"for":[158,173,239],"recovering":[159],"performance,":[161],"further":[163],"offering":[165],"diminishing":[166],"returns.":[167],"yields":[170],"lighter":[171],"retraining":[174],"presence":[177],"concept":[179],"drift":[180],"avoids":[182],"shifting":[183],"load":[185],"training,":[189],"is":[191,235],"inherent":[192],"2.":[195],"can":[199],"be":[200],"used":[201,230],"pinpoint":[203],"layers":[205],"that":[206,222],"have":[207],"impact":[210],"model's":[213],"performance":[215],"when":[216],"removed.":[219],"found":[221],"feed-forward":[224],"component":[225],"transformer":[228],"architecture":[229],"large":[232],"language":[233],"promising":[237],"target":[238],"neuron":[240],"removal.":[241]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}