{"id":"https://openalex.org/W4313413720","doi":"https://doi.org/10.1109/csit56902.2022.10000471","title":"Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing","display_name":"Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4313413720","doi":"https://doi.org/10.1109/csit56902.2022.10000471"},"language":"en","primary_location":{"id":"doi:10.1109/csit56902.2022.10000471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit56902.2022.10000471","pdf_url":null,"source":{"id":"https://openalex.org/S4363608244","display_name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089137994","display_name":"Vojt\u011bch Cahl\u00edk","orcid":"https://orcid.org/0000-0002-4222-8746"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vojtech Cahlik","raw_affiliation_strings":["Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035026045","display_name":"Pavel Kord\u00edk","orcid":"https://orcid.org/0000-0003-1433-0089"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Kordik","raw_affiliation_strings":["Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059300694","display_name":"Miroslav \u010cepek","orcid":"https://orcid.org/0000-0002-3765-867X"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Miroslav Cepek","raw_affiliation_strings":["Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Faculty of Information Technology,Prague,Czechia","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Faculty of Information Technology, Czech Technical University in Prague, Prague, Czechia","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46287028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"592","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.9973000288009644,"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/sizing","display_name":"Sizing","score":0.8103312253952026},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7727923393249512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287875413894653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7227126359939575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6256749033927917},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4779472351074219},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47190243005752563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45475709438323975}],"concepts":[{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.8103312253952026},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7727923393249512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287875413894653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7227126359939575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6256749033927917},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4779472351074219},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47190243005752563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45475709438323975},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit56902.2022.10000471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit56902.2022.10000471","pdf_url":null,"source":{"id":"https://openalex.org/S4363608244","display_name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1553939018","https://openalex.org/W1928693685","https://openalex.org/W2109779438","https://openalex.org/W2111935653","https://openalex.org/W2119144962","https://openalex.org/W2119814172","https://openalex.org/W2128033389","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2167967601","https://openalex.org/W2335728318","https://openalex.org/W2520760693","https://openalex.org/W2551176409","https://openalex.org/W2593744649","https://openalex.org/W2951104886","https://openalex.org/W2963454111","https://openalex.org/W2964217527","https://openalex.org/W2986915867","https://openalex.org/W3126019867","https://openalex.org/W3182253415","https://openalex.org/W4302613003","https://openalex.org/W6638667902","https://openalex.org/W6676553272","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6684426766","https://openalex.org/W6703116779","https://openalex.org/W6730382033","https://openalex.org/W6739879593","https://openalex.org/W6752515464","https://openalex.org/W6762718338","https://openalex.org/W6781359717"],"related_works":["https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W2020653254","https://openalex.org/W2010454064","https://openalex.org/W2352072014","https://openalex.org/W217279133","https://openalex.org/W2393487946","https://openalex.org/W2373310108"],"abstract_inverted_index":{"We":[0],"introduce":[1,76],"dynamic":[2,48,93],"auto-sizing,":[3,94],"a":[4,80,112],"novel":[5,81],"approach":[6],"to":[7,16,21,51],"training":[8],"artificial":[9],"neural":[10],"networks":[11],"which":[12],"allows":[13],"the":[14,22,28,35,40,90,103],"models":[15,29,50,100,109],"automatically":[17],"adapt":[18],"their":[19,55],"size":[20,26],"problem":[23],"domain.":[24],"The":[25,45],"of":[27,43,47,92,99],"can":[30,110],"be":[31],"further":[32],"controlled":[33],"during":[34],"learning":[36],"process":[37],"by":[38,60],"modifying":[39],"applied":[41],"strength":[42],"regularization.":[44],"ability":[46],"auto-sizing":[49],"expand":[52],"or":[53,70],"shrink":[54],"hidden":[56],"layers":[57],"is":[58],"achieved":[59],"periodically":[61],"growing":[62],"and":[63,105],"pruning":[64],"entire":[65],"units":[66],"such":[67,108],"as":[68],"neurons":[69],"filters.":[71],"For":[72],"this":[73],"purpose,":[74],"we":[75,95],"weighted":[77],"L1":[78],"regularization,":[79],"regularization":[82],"method":[83,104],"for":[84],"inducing":[85],"structured":[86],"sparsity.":[87],"Besides":[88],"analyzing":[89],"behavior":[91],"evaluate":[96],"predictive":[97,113],"performance":[98],"trained":[101],"using":[102],"show":[106],"that":[107],"provide":[111],"advantage":[114],"over":[115],"traditional":[116],"approaches.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
