{"id":"https://openalex.org/W2999498703","doi":"https://doi.org/10.1109/wacv45572.2020.9093391","title":"A \"Network Pruning Network\" Approach to Deep Model Compression","display_name":"A \"Network Pruning Network\" Approach to Deep Model Compression","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2999498703","doi":"https://doi.org/10.1109/wacv45572.2020.9093391","mag":"2999498703"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.05545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101744115","display_name":"Vinay Kumar Verma","orcid":"https://orcid.org/0000-0002-6532-2997"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vinay Kumar Verma","raw_affiliation_strings":["IIT Kanpur,Department of Computer Science and Engineering,India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007774595","display_name":"Pravendra Singh","orcid":"https://orcid.org/0000-0003-1001-2219"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pravendra Singh","raw_affiliation_strings":["IIT Kanpur,Department of Computer Science and Engineering,India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007109424","display_name":"Vinay P. Namboodiri","orcid":"https://orcid.org/0000-0001-5262-9722"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay P. Namboodiri","raw_affiliation_strings":["IIT Kanpur,Department of Computer Science and Engineering,India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029651089","display_name":"Piyush Rai","orcid":"https://orcid.org/0000-0003-0660-8925"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Piyush Rai","raw_affiliation_strings":["IIT Kanpur,Department of Computer Science and Engineering,India","Indian Institute of Technology Kanpur"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Indian Institute of Technology Kanpur","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101744115"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.10496732,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35497465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2998","last_page":"3007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479413151741028},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7418758273124695},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5861154794692993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712184906005859},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5414713621139526},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5246022939682007},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5055327415466309},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47849172353744507},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4678289294242859},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4453653395175934},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43886059522628784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650102913379669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3362995684146881},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3147406280040741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14188796281814575},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08058002591133118},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07630717754364014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479413151741028},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7418758273124695},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5861154794692993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712184906005859},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5414713621139526},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5246022939682007},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5055327415466309},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47849172353744507},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4678289294242859},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4453653395175934},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43886059522628784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650102913379669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3362995684146881},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3147406280040741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14188796281814575},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08058002591133118},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07630717754364014},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.05545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05545","pdf_url":"https://arxiv.org/pdf/2001.05545","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":"","raw_type":"text"},{"id":"mag:2999498703","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2001.05545.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:purehost.bath.ac.uk:openaire/02bffe47-0222-468d-b8ef-28611289ed96","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/02bffe47-0222-468d-b8ef-28611289ed96","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Verma, V K, Singh, P, Namboodiri, V P & Rai, P 2020, A \"network pruning network\" Approach to deep model compression. in Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020., 9093391, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, IEEE, pp. 2998-3007, 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, USA United States, 1/03/20. https://doi.org/10.1109/WACV45572.2020.9093391","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:purehost.bath.ac.uk:publications/02bffe47-0222-468d-b8ef-28611289ed96","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85085511981&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Verma, V K, Singh, P, Namboodiri, V P & Rai, P 2020, A \"network pruning network\" Approach to deep model compression. in Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020., 9093391, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, IEEE, pp. 2998-3007, 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, USA United States, 1/03/20. https://doi.org/10.1109/WACV45572.2020.9093391","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.2001.05545","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.05545","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.05545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05545","pdf_url":"https://arxiv.org/pdf/2001.05545","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320712","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W566555209","https://openalex.org/W1514535095","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W1902041153","https://openalex.org/W1933349210","https://openalex.org/W1996901117","https://openalex.org/W2114766824","https://openalex.org/W2117539524","https://openalex.org/W2125389748","https://openalex.org/W2167215970","https://openalex.org/W2172166488","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2495425901","https://openalex.org/W2515385951","https://openalex.org/W2520760693","https://openalex.org/W2554931888","https://openalex.org/W2565639579","https://openalex.org/W2582745083","https://openalex.org/W2603445054","https://openalex.org/W2613718673","https://openalex.org/W2614986686","https://openalex.org/W2619444510","https://openalex.org/W2619890685","https://openalex.org/W2707890836","https://openalex.org/W2752037867","https://openalex.org/W2757143157","https://openalex.org/W2778053709","https://openalex.org/W2788715907","https://openalex.org/W2807434070","https://openalex.org/W2808168148","https://openalex.org/W2883111419","https://openalex.org/W2886851211","https://openalex.org/W2898170443","https://openalex.org/W2899454891","https://openalex.org/W2950577311","https://openalex.org/W2950967261","https://openalex.org/W2953001477","https://openalex.org/W2962723643","https://openalex.org/W2962835968","https://openalex.org/W2962851801","https://openalex.org/W2962944050","https://openalex.org/W2963000224","https://openalex.org/W2963117513","https://openalex.org/W2963118768","https://openalex.org/W2963125010","https://openalex.org/W2963145730","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963545832","https://openalex.org/W2963559821","https://openalex.org/W2964078140","https://openalex.org/W2964299589","https://openalex.org/W2965955046","https://openalex.org/W2973042525","https://openalex.org/W2983868233","https://openalex.org/W2991375180","https://openalex.org/W2997305434","https://openalex.org/W3009270141","https://openalex.org/W3009383973","https://openalex.org/W3015315769","https://openalex.org/W3118608800","https://openalex.org/W6620707391","https://openalex.org/W6630875275","https://openalex.org/W6636510571","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6639102338","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6678583879","https://openalex.org/W6684563725","https://openalex.org/W6685405536","https://openalex.org/W6698200048","https://openalex.org/W6723181079","https://openalex.org/W6725543821","https://openalex.org/W6725739302","https://openalex.org/W6726275242","https://openalex.org/W6726973340","https://openalex.org/W6730382033","https://openalex.org/W6732814185","https://openalex.org/W6736057607","https://openalex.org/W6738735913","https://openalex.org/W6739000085","https://openalex.org/W6739917289","https://openalex.org/W6740474667","https://openalex.org/W6743912273","https://openalex.org/W6744702893","https://openalex.org/W6745674251","https://openalex.org/W6746996375","https://openalex.org/W6751945453","https://openalex.org/W6751959828","https://openalex.org/W6753040593","https://openalex.org/W6753490951","https://openalex.org/W6756086206","https://openalex.org/W6756199612","https://openalex.org/W6760444159","https://openalex.org/W6768954555","https://openalex.org/W6769559677","https://openalex.org/W6770574033","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3025217106","https://openalex.org/W2771111398","https://openalex.org/W2978441820","https://openalex.org/W2752037867","https://openalex.org/W3121699489","https://openalex.org/W2995428361","https://openalex.org/W3201057869","https://openalex.org/W3093649253","https://openalex.org/W3044430233","https://openalex.org/W2786386501","https://openalex.org/W3010801994","https://openalex.org/W2618305643","https://openalex.org/W2951598131","https://openalex.org/W3184164445","https://openalex.org/W2990619046","https://openalex.org/W2924888702","https://openalex.org/W3102982004","https://openalex.org/W3001642847","https://openalex.org/W2798603777","https://openalex.org/W3048959830"],"abstract_inverted_index":{"We":[0,208],"present":[1],"a":[2,11,20,21,26,34,84],"filter":[3],"pruning":[4,159,197],"approach":[5,15,140,174,215],"for":[6,160,204,216],"deep":[7,36],"model":[8,63,170],"compression,":[9],"using":[10],"multitask":[12,35],"network.":[13,29],"Our":[14],"is":[16,32,105,175],"based":[17],"on":[18,136],"learning":[19],"pruner":[22,31,70],"network":[23,38,53,71,79,115,144],"to":[24,61,99,106,120,127],"prune":[25,142],"pre-trained":[27],"target":[28],"The":[30,69,102,168],"essentially":[33],"neural":[37],"with":[39,187],"binary":[40],"outputs":[41,90],"that":[42,54,81],"help":[43],"identify":[44],"the":[45,51,62,73,77,108,113,121,130,143,156,200,205,210],"filters":[46,97,111],"from":[47,112],"each":[48,161],"layer":[49,87,162],"of":[50,110,129,134,158,202,212],"original":[52,78,114],"do":[55],"not":[56,153,179],"have":[57,98],"any":[58,181],"significant":[59],"contribution":[60],"and":[64,177,195,218],"can":[65,141,164,198],"therefore":[66],"be":[67,100],"pruned.":[68,101],"has":[72,83],"same":[74],"architecture":[75],"as":[76,191],"except":[80],"it":[82,166],"multitask/multi-output":[85],"last":[86],"containing":[88],"binary-valued":[89],"(one":[91],"per":[92],"filter),":[93],"which":[94,96],"indicate":[95],"pruner's":[103],"goal":[104],"minimize":[107],"number":[109],"by":[116,172],"assigning":[117],"zero":[118],"weights":[119],"corresponding":[122],"output":[123],"feature-maps.":[124],"In":[125],"contrast":[126],"most":[128],"existing":[131],"methods,":[132],"instead":[133],"relying":[135],"iterative":[137],"pruning,":[138],"our":[139,173,213],"(original":[145],"network)":[146],"in":[147],"one":[148],"go":[149],"and,":[150],"moreover,":[151],"does":[152,178],"require":[154],"specifying":[155],"degree":[157,201],"(and":[163],"learn":[165],"instead).":[167],"compressed":[169],"produced":[171],"generic":[176],"need":[180],"special":[182],"hardware/software":[183],"support.":[184],"Moreover,":[185],"augmenting":[186],"other":[188],"methods":[189],"such":[190],"knowledge":[192],"distillation,":[193],"quantization,":[194],"connection":[196],"increase":[199],"compression":[203],"proposed":[206,214],"approach.":[207],"show":[209],"efficacy":[211],"classification":[217],"object":[219],"detection":[220],"tasks.":[221]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
