{"id":"https://openalex.org/W4294334363","doi":"https://doi.org/10.1109/sips55645.2022.9919253","title":"Leveraging Structured Pruning of Convolutional Neural Networks","display_name":"Leveraging Structured Pruning of Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-11-02","ids":{"openalex":"https://openalex.org/W4294334363","doi":"https://doi.org/10.1109/sips55645.2022.9919253"},"language":"en","primary_location":{"id":"doi:10.1109/sips55645.2022.9919253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips55645.2022.9919253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.06247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002060668","display_name":"Hugo Tessier","orcid":"https://orcid.org/0000-0003-2347-2345"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hugo Tessier","raw_affiliation_strings":["Stellantis, Vélizy-Villacoublay,France","Equipe Algorithm Architecture Interactions"],"affiliations":[{"raw_affiliation_string":"Stellantis, Vélizy-Villacoublay,France","institution_ids":[]},{"raw_affiliation_string":"Equipe Algorithm Architecture Interactions","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068330560","display_name":"Vincent Gripon","orcid":"https://orcid.org/0000-0002-4353-4542"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Gripon","raw_affiliation_strings":["IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","Equipe Algorithm Architecture Interactions"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"Equipe Algorithm Architecture Interactions","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071781186","display_name":"Mathieu L\u00e9onardon","orcid":"https://orcid.org/0000-0002-9973-843X"},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathieu Leonardon","raw_affiliation_strings":["IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","Equipe Algorithm Architecture Interactions"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"Equipe Algorithm Architecture Interactions","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043007083","display_name":"Matthieu Arzel","orcid":"https://orcid.org/0000-0002-8774-7662"},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Arzel","raw_affiliation_strings":["IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","Equipe Algorithm Architecture Interactions"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, UMR CNRS 6285,Lab-STICC,Brest,France,F-29238","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"Equipe Algorithm Architecture Interactions","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101029000","display_name":"Bertrand David","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Bertrand","raw_affiliation_strings":["Stellantis, Vélizy-Villacoublay,France"],"affiliations":[{"raw_affiliation_string":"Stellantis, Vélizy-Villacoublay,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074674085","display_name":"Thomas Hannagan","orcid":"https://orcid.org/0000-0002-9816-1886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Hannagan","raw_affiliation_strings":["Stellantis, Vélizy-Villacoublay,France"],"affiliations":[{"raw_affiliation_string":"Stellantis, Vélizy-Villacoublay,France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002060668"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2039,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48063522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.998199999332428,"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":0.927489161491394},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8660048842430115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8404333591461182},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6769553422927856},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6317065954208374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6043649315834045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.519159197807312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45641711354255676},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42601096630096436},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4167727828025818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06928223371505737}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.927489161491394},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8660048842430115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404333591461182},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6769553422927856},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6317065954208374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043649315834045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.519159197807312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45641711354255676},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42601096630096436},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4167727828025818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06928223371505737},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/sips55645.2022.9919253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips55645.2022.9919253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.06247","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.06247","pdf_url":"https://arxiv.org/pdf/2206.06247","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03767634v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03767634","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://sips2022.insa-rennes.fr","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.06247","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.06247","pdf_url":"https://arxiv.org/pdf/2206.06247","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W1902934009","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2566127121","https://openalex.org/W2707890836","https://openalex.org/W2808133870","https://openalex.org/W2808168148","https://openalex.org/W2936608441","https://openalex.org/W2940262938","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963000224","https://openalex.org/W2963363373","https://openalex.org/W2971250988","https://openalex.org/W3101584733","https://openalex.org/W3104688113","https://openalex.org/W3131910208","https://openalex.org/W3139203094","https://openalex.org/W4297813615","https://openalex.org/W6638523607","https://openalex.org/W6639703010","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6739917289","https://openalex.org/W6767570870","https://openalex.org/W6779460946"],"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/W3042419602","https://openalex.org/W2966649771"],"abstract_inverted_index":{"Structured":[0],"pruning":[1,31,58],"is":[2,52],"a":[3,49,62],"popular":[4],"method":[5,50],"to":[6,54],"reduce":[7],"the":[8,16,19,29,37],"cost":[9],"of":[10,18,40,69,82,88,99],"convolutional":[11,101],"neural":[12,102],"networks,":[13],"that":[14,51,64],"are":[15],"state":[17],"art":[20],"in":[21,90],"many":[22],"computer":[23],"vision":[24],"tasks.":[25],"However,":[26],"depending":[27],"on":[28,96],"architecture,":[30],"introduces":[32],"dimensional":[33],"discrepancies":[34],"which":[35],"prevent":[36],"actual":[38],"reduction":[39],"pruned":[41,100],"networks.":[42,103],"To":[43],"tackle":[44],"this":[45],"problem,":[46],"we":[47],"propose":[48],"able":[53],"take":[55],"any":[56,68],"structured":[57],"mask":[59],"and":[60,72,85,93],"generate":[61],"network":[63],"does":[65],"not":[66],"encounter":[67],"these":[70],"problems":[71],"can":[73],"be":[74],"leveraged":[75],"efficiently.":[76],"We":[77],"provide":[78],"an":[79],"accurate":[80],"description":[81],"our":[83],"solution":[84],"show":[86],"results":[87],"gains,":[89],"energy":[91],"consumption":[92],"inference":[94],"time":[95],"embedded":[97],"hardware,":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}