{"id":"https://openalex.org/W3200186773","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533582","title":"COPS: Controlled Pruning Before Training Starts","display_name":"COPS: Controlled Pruning Before Training Starts","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200186773","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533582","mag":"3200186773"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5045221371","display_name":"Paul Wimmer","orcid":"https://orcid.org/0000-0002-0503-4539"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wimmer Paul","raw_affiliation_strings":["Image Processing Robert Bosch GmbH & Luebeck University, Leonberg, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Robert Bosch GmbH & Luebeck University, Leonberg, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103999889","display_name":"Mehnert Jens","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehnert Jens","raw_affiliation_strings":["Image Processing Robert Bosch GmbH, Leonberg, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Robert Bosch GmbH, Leonberg, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112353924","display_name":"Alexandru Paul Condurache","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Condurache Alexandru","raw_affiliation_strings":["Engineering Cognitive Systems Robert Bosch GmbH & Luebeck University, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Engineering Cognitive Systems Robert Bosch GmbH & Luebeck University, Stuttgart, Germany","institution_ids":["https://openalex.org/I889804353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045221371"],"corresponding_institution_ids":["https://openalex.org/I889804353"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55903595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"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/T12676","display_name":"Machine Learning and ELM","score":0.9977999925613403,"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/pruning","display_name":"Pruning","score":0.9320645928382874},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6910170316696167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534318923950195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5009536743164062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4668116569519043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46219852566719055},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4493098258972168},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4437878131866455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.364688515663147},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3217983543872833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24188441038131714}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.9320645928382874},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6910170316696167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534318923950195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5009536743164062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4668116569519043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46219852566719055},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4493098258972168},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4437878131866455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.364688515663147},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3217983543872833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24188441038131714},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1686810756","https://openalex.org/W1902070538","https://openalex.org/W2058641082","https://openalex.org/W2096764219","https://openalex.org/W2097998348","https://openalex.org/W2112796928","https://openalex.org/W2114766824","https://openalex.org/W2134273960","https://openalex.org/W2172166488","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2294543795","https://openalex.org/W2551176409","https://openalex.org/W2768501777","https://openalex.org/W2805003733","https://openalex.org/W2894740066","https://openalex.org/W2962835968","https://openalex.org/W2962965870","https://openalex.org/W2963247446","https://openalex.org/W2963674932","https://openalex.org/W2963813662","https://openalex.org/W2964125494","https://openalex.org/W2964137095","https://openalex.org/W2970971581","https://openalex.org/W2995492258","https://openalex.org/W2996577930","https://openalex.org/W3005842225","https://openalex.org/W3017378904","https://openalex.org/W3031139557","https://openalex.org/W3104688113","https://openalex.org/W3107547569","https://openalex.org/W3118608800","https://openalex.org/W4250589301","https://openalex.org/W4287769184","https://openalex.org/W4287814455","https://openalex.org/W4287828539","https://openalex.org/W4292564261","https://openalex.org/W4294185673","https://openalex.org/W4295312788","https://openalex.org/W4300971654","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6674385629","https://openalex.org/W6674522906","https://openalex.org/W6677103964","https://openalex.org/W6679651198","https://openalex.org/W6685405536","https://openalex.org/W6696912008","https://openalex.org/W6713132643","https://openalex.org/W6726275242","https://openalex.org/W6745668070","https://openalex.org/W6751979845","https://openalex.org/W6755166560","https://openalex.org/W6764345721","https://openalex.org/W6766978945","https://openalex.org/W6772027524","https://openalex.org/W6774302960","https://openalex.org/W6779254602","https://openalex.org/W6779460946","https://openalex.org/W6785973424","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2186864281","https://openalex.org/W4255427455","https://openalex.org/W2373300491","https://openalex.org/W1966025497","https://openalex.org/W2378744544","https://openalex.org/W68941528","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206451355"],"abstract_inverted_index":{"State-of-the-art":[0],"deep":[1],"neural":[2],"network":[3,111,192],"(DNN)":[4],"pruning":[5,22,37,51,73,87,184],"techniques,":[6],"applied":[7],"one-shot":[8],"before":[9,122],"training":[10,123],"starts,":[11],"evaluate":[12],"sparse":[13,110],"architectures":[14,35,193],"with":[15,185],"the":[16,55,109,174],"help":[17],"of":[18,57],"a":[19,28,47,58,71,77,98,135,146,168],"single":[20,72],"criterion-called":[21],"score.":[23],"Pruning":[24,91,121],"weights":[25],"based":[26],"on":[27,70,115,134],"solitary":[29],"score":[30,61,107],"works":[31],"well":[32],"for":[33,43,50,79,103,148,156,190],"some":[34],"and":[36,144,162,194,198],"rates":[38],"but":[39,75],"may":[40],"also":[41],"fail":[42],"other":[44],"ones.":[45],"As":[46],"common":[48],"baseline":[49],"scores,":[52],"we":[53,66,182],"introduce":[54],"notion":[56],"generalized":[59],"synaptic":[60],"(GSS).":[62],"In":[63,179],"this":[64],"work":[65],"do":[67],"not":[68],"concentrate":[69],"criterion,":[74],"provide":[76],"framework":[78],"combining":[80],"arbitrary":[81],"GSSs":[82],"to":[83,112,153],"create":[84],"more":[85,104],"powerful":[86],"strategies.":[88],"These":[89],"COmbined":[90],"Scores":[92],"(COPS)":[93],"are":[94],"obtained":[95,199],"by":[96,130],"solving":[97],"constrained":[99],"optimization":[100,127],"problem.":[101],"Optimizing":[102],"than":[105,173],"one":[106],"prevents":[108],"overly":[113],"specialize":[114],"an":[116,151],"individual":[117],"task,":[118],"thus":[119],"COntrols":[120],"Starts.":[124],"The":[125],"combinatorial":[126],"problem":[128],"given":[129],"COPS":[131,165,186],"is":[132,141,160],"relaxed":[133],"linear":[136],"program":[137],"(LP).":[138],"This":[139],"LP":[140,177],"solved":[142],"analytically":[143],"determines":[145],"solution":[147],"COPS.":[149],"Furthermore,":[150],"algorithm":[152],"compute":[154],"it":[155],"two":[157],"scores":[158],"numerically":[159],"proposed":[161],"evaluated.":[163],"Solving":[164],"in":[166],"such":[167],"way":[169],"has":[170],"lower":[171],"complexity":[172],"best":[175],"general":[176],"solver.":[178],"our":[180],"experiments":[181],"compared":[183],"against":[187],"state-of-the-art":[188],"methods":[189],"different":[191],"image":[195],"classification":[196],"tasks":[197],"improved":[200],"results.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-09-27T00:00:00"}
