{"id":"https://openalex.org/W4402040965","doi":"https://doi.org/10.1109/tnnls.2024.3439435","title":"SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks","display_name":"SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks","publication_year":2024,"publication_date":"2024-08-30","ids":{"openalex":"https://openalex.org/W4402040965","doi":"https://doi.org/10.1109/tnnls.2024.3439435","pmid":"https://pubmed.ncbi.nlm.nih.gov/39213269"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3439435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3439435","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5070037702","display_name":"Yiheng Lu","orcid":"https://orcid.org/0000-0002-6723-0156"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiheng Lu","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060765360","display_name":"Kaiyuan Feng","orcid":"https://orcid.org/0000-0003-4970-4175"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Feng","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4970-4175","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681244","display_name":"Jialu Liu","orcid":"https://orcid.org/0009-0003-9934-6545"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialu Liu","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-2413-4698","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6294-6761","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070037702"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74668532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"36","issue":"5","first_page":"8540","last_page":"8553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9531999826431274,"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":0.9531999826431274,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7164087295532227},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6777400374412537},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5826406478881836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5530456304550171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012350082397461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41257244348526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.339258074760437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3252256214618683},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.12562295794487},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07604309916496277}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7164087295532227},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6777400374412537},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5826406478881836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530456304550171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012350082397461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41257244348526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.339258074760437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3252256214618683},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.12562295794487},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07604309916496277},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3439435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3439435","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39213269","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39213269","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2345302636","display_name":null,"funder_award_id":"QTZX24072","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4918747214","display_name":null,"funder_award_id":"QTZX23039","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5655994340","display_name":null,"funder_award_id":"62303366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7164588553","display_name":null,"funder_award_id":"XJSJ23030","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7845548769","display_name":null,"funder_award_id":"62073255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8746616028","display_name":null,"funder_award_id":"62133012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1821462560","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2805003733","https://openalex.org/W2808168148","https://openalex.org/W2808483802","https://openalex.org/W2950656546","https://openalex.org/W2962851801","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963521187","https://openalex.org/W2964217848","https://openalex.org/W2964233199","https://openalex.org/W2983108667","https://openalex.org/W2984618279","https://openalex.org/W3033960544","https://openalex.org/W3034513523","https://openalex.org/W3037215700","https://openalex.org/W3046320925","https://openalex.org/W3080091329","https://openalex.org/W3095686769","https://openalex.org/W3097297321","https://openalex.org/W3100837220","https://openalex.org/W3108835732","https://openalex.org/W3118513496","https://openalex.org/W3136450870","https://openalex.org/W3141039124","https://openalex.org/W3168076195","https://openalex.org/W3171298560","https://openalex.org/W3173166478","https://openalex.org/W3176403475","https://openalex.org/W3176946833","https://openalex.org/W3180849877","https://openalex.org/W3183627618","https://openalex.org/W3192682950","https://openalex.org/W3193895134","https://openalex.org/W3200298654","https://openalex.org/W3209425008","https://openalex.org/W4226426325","https://openalex.org/W4377001513","https://openalex.org/W4377714918","https://openalex.org/W6635477909","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6677103964","https://openalex.org/W6684191040","https://openalex.org/W6685405536","https://openalex.org/W6700264148","https://openalex.org/W6726275242","https://openalex.org/W6732814185","https://openalex.org/W6739901393","https://openalex.org/W6739917289","https://openalex.org/W6743912273","https://openalex.org/W6745499552","https://openalex.org/W6748035112","https://openalex.org/W6755543212","https://openalex.org/W6762450006","https://openalex.org/W6771857765","https://openalex.org/W6773366859","https://openalex.org/W6773665691","https://openalex.org/W6779544626","https://openalex.org/W6779737225","https://openalex.org/W6790463934","https://openalex.org/W6795891359","https://openalex.org/W6838639622"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2373300491","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/W2145253956"],"abstract_inverted_index":{"Nowadays,":[0],"pruning":[1,68,76,99,120,162,165,225],"techniques":[2],"have":[3],"drawn":[4],"attention":[5,85],"to":[6,88,156],"convolutional":[7],"neural":[8],"networks":[9],"(CNNs)":[10],"for":[11,28,134],"reducing":[12],"the":[13,20,24,32,35,41,58,66,90,93,112,118,123,136,139,158,164,181,200,214],"consumption":[14],"of":[15,26,34,40,50,92,115,122,138,144,160,183,216],"computation":[16],"resources.":[17],"In":[18,78],"particular,":[19],"Taylor-based":[21,59,98,124,161,202],"method":[22,60,198,203],"simplifies":[23],"evaluation":[25],"importance":[27],"each":[29],"filter":[30],"as":[31,169,171],"product":[33],"gradient":[36],"and":[37,52,126,187,193,207,218],"weight":[38],"value":[39],"output":[42],"features,":[43],"which":[44,220],"outperforms":[45,199],"other":[46,75,224],"methods":[47],"in":[48,142,205,213],"reductions":[49],"parameters":[51,217],"floating":[53],"point":[54],"operations":[55],"(FLOPs).":[56],"However,":[57],"sacrifices":[61,212],"too":[62],"much":[63],"accuracy":[64,137],"when":[65,96,163],"overall":[67],"rate":[69,166],"is":[70,100,167,221],"relatively":[71],"large":[72,168],"compared":[73],"with":[74,189],"algorithms.":[77],"this":[79],"article,":[80],"we":[81],"propose":[82],"a":[83],"self-adaptive":[84],"factor":[86],"(SAAF)":[87],"improve":[89],"performance":[91],"slimmed":[94,140],"model":[95,141],"conventional":[97],"utilized":[101],"under":[102],"higher":[103],"pruning.":[104],"Specifically,":[105],"SAAF":[106,149,184],"can":[107,131,150,172],"be":[108,132],"calculated":[109],"by":[110],"leveraging":[111],"remaining":[113],"ratio":[114],"filters":[116,130,152],"at":[117],"early":[119],"stage":[121],"method,":[125],"then,":[127],"some":[128],"pruned":[129],"recovered":[133],"improving":[135],"terms":[143],"SAAF.":[145],"It":[146],"means":[147],"that":[148],"protect":[151],"from":[153],"being":[154],"overslimmed":[155],"eliminate":[157],"degeneration":[159],"well":[170],"compress":[173],"models":[174],"apparently":[175],"across":[176],"various":[177],"datasets.":[178],"We":[179],"test":[180],"efficiency":[182],"on":[185],"VGG-16":[186],"ResNet-50":[188],"CIFAR-10,":[190],"Tiny-ImageNet,":[191],"ImageNet-1000,":[192],"remote":[194],"sensing":[195],"images.":[196],"Our":[197],"traditional":[201],"obviously":[204],"accuracy,":[206],"there":[208],"are":[209],"only":[210],"tiny":[211],"reduction":[215],"FLOPs,":[219],"better":[222],"than":[223],"methods.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}