{"id":"https://openalex.org/W2903637075","doi":"https://doi.org/10.1609/aaai.v33i01.33014440","title":"Super Sparse Convolutional Neural Networks","display_name":"Super Sparse Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2903637075","doi":"https://doi.org/10.1609/aaai.v33i01.33014440","mag":"2903637075"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014440","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014440","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4356/4234","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4356/4234","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102831128","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-3147-2081"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Lu","raw_affiliation_strings":["Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112373191","display_name":"Guangming Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["University of Macau"],"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071230372","display_name":"Yuanrong Xu","orcid":"https://orcid.org/0000-0002-9457-7956"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanrong Xu","raw_affiliation_strings":["Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["Hong Kong Polytechnic University"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102831128"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.6544,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95400697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"4440","last_page":"4447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962999820709229,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962999820709229,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.8504945039749146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219178676605225},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7021757364273071},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6810507774353027},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6348683834075928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5524045825004578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5069389939308167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39869701862335205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17459681630134583}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.8504945039749146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219178676605225},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7021757364273071},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6810507774353027},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6348683834075928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5524045825004578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069389939308167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39869701862335205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17459681630134583},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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:10.1609/aaai.v33i01.33014440","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014440","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4356/4234","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014440","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014440","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4356/4234","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3757194791","display_name":null,"funder_award_id":"JCYJ20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5346730614","display_name":null,"funder_award_id":"61332011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5641397543","display_name":null,"funder_award_id":"201708","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6425062833","display_name":null,"funder_award_id":"JCYJ20170811155442454","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G7733967793","display_name":null,"funder_award_id":"61332","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/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903637075.pdf","grobid_xml":"https://content.openalex.org/works/W2903637075.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2331143823","https://openalex.org/W2397299141","https://openalex.org/W2400429454","https://openalex.org/W2408279554","https://openalex.org/W2612445135","https://openalex.org/W2618305643","https://openalex.org/W2736372003","https://openalex.org/W2741430497","https://openalex.org/W2752037867","https://openalex.org/W2753301142","https://openalex.org/W2783000019","https://openalex.org/W2793648937","https://openalex.org/W2798110502","https://openalex.org/W2805274023","https://openalex.org/W2951696358","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W2963452728","https://openalex.org/W2963844898","https://openalex.org/W2964169985","https://openalex.org/W3118608800","https://openalex.org/W4295262505","https://openalex.org/W4297775537","https://openalex.org/W6676297131","https://openalex.org/W6687483927","https://openalex.org/W6693397755","https://openalex.org/W6698183232","https://openalex.org/W6701947533","https://openalex.org/W6712635486","https://openalex.org/W6743912273"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W4382323155","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W4287067436","https://openalex.org/W4280599700","https://openalex.org/W3005814217","https://openalex.org/W2982536526","https://openalex.org/W4288417960","https://openalex.org/W2921438861"],"abstract_inverted_index":{"To":[0],"construct":[1],"small":[2],"mobile":[3,186],"networks":[4],"without":[5,121,217],"performance":[6,219],"loss":[7],"and":[8,30,49,74,88,101,116,143,153,162,177,197,213],"address":[9],"the":[10,15,63,66,82,86,89,95,98,103,114,130,135,139,144,151,160,167,175,179,184,193,206,211,214,226,230,234],"over-fitting":[11,180,231],"issues":[12],"caused":[13],"by":[14,113,166],"less":[16,194,237],"abundant":[17,195,238],"training":[18],"datasets,":[19],"this":[20],"paper":[21],"proposes":[22],"a":[23,38],"novel":[24],"super":[25],"sparse":[26],"convolutional":[27,119],"(SSC)":[28],"kernel,":[29,40],"its":[31,71],"corresponding":[32],"network":[33],"is":[34,129],"called":[35],"SSC-Net.":[36],"In":[37],"SSC":[39,58,79,108,128],"every":[41],"spatial":[42,52,123,141],"kernel":[43,59],"has":[44],"only":[45],"one":[46],"non-zero":[47,51,72],"parameter":[48],"these":[50],"positions":[53,73],"are":[54],"all":[55],"different.":[56],"The":[57,202],"can":[60,80,109,173,208,223],"effectively":[61,182],"select":[62],"pixels":[64],"from":[65,138],"feature":[67],"maps":[68],"according":[69],"to":[70,133,148],"perform":[75],"on":[76,192,233],"them.":[77],"Therefore,":[78,127],"preserve":[81],"general":[83,104],"characteristics":[84],"of":[85,97,228],"geometric":[87],"channels\u2019":[90],"differences,":[91],"resulting":[92],"in":[93],"preserving":[94],"quality":[96],"retrieved":[99],"features":[100],"meeting":[102],"accuracy":[105],"requirements.":[106],"Furthermore,":[107],"be":[110],"entirely":[111],"implemented":[112,165],"\u201cshift\u201d":[115],"\u201cgroup":[117],"point-wise\u201d":[118],"operations":[120,164],"any":[122,218],"kernels":[124],"(e.g.,":[125],"\u201c3\u00d73\u201d).":[126],"first":[131],"method":[132],"remove":[134],"parameters\u2019":[136],"redundancy":[137],"both":[140],"extent":[142],"channel":[145],"extent,":[146],"leading":[147],"largely":[149],"decreasing":[150],"parameters":[152,212],"Flops":[154,216],"as":[155,157],"well":[156],"further":[158],"reducing":[159],"img2col":[161],"col2img":[163],"low":[168,198],"leveled":[169],"libraries.":[170],"Meanwhile,":[171],"SSC-Net":[172],"improve":[174,225],"sparsity":[176],"overcome":[178],"more":[181,235],"than":[183],"other":[185],"networks.":[187],"Comparative":[188],"experiments":[189],"were":[190],"performed":[191],"CIFAR":[196],"resolution":[199],"ImageNet":[200],"datasets.":[201,239],"results":[203],"showed":[204],"that":[205],"SSC-Nets":[207],"significantly":[209],"decrease":[210],"computational":[215],"losses.":[220],"Additionally,":[221],"it":[222],"also":[224],"ability":[227],"addressing":[229],"problem":[232],"challenging":[236]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
