{"id":"https://openalex.org/W3107971386","doi":"https://doi.org/10.1587/transinf.2020pap0013","title":"SENTEI: Filter-Wise Pruning with Distillation towards Efficient Sparse Convolutional Neural Network Accelerators","display_name":"SENTEI: Filter-Wise Pruning with Distillation towards Efficient Sparse Convolutional Neural Network Accelerators","publication_year":2020,"publication_date":"2020-11-30","ids":{"openalex":"https://openalex.org/W3107971386","doi":"https://doi.org/10.1587/transinf.2020pap0013","mag":"3107971386"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2020pap0013","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020pap0013","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020PAP0013/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020PAP0013/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043084588","display_name":"Masayuki Shimoda","orcid":"https://orcid.org/0000-0003-4627-0957"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masayuki SHIMODA","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089957553","display_name":"Youki Sada","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youki SADA","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001468686","display_name":"Ryosuke Kuramochi","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke KURAMOCHI","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424734","display_name":"Shimpei Sato","orcid":"https://orcid.org/0000-0003-0292-1391"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shimpei SATO","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070734898","display_name":"Hiroki Nakahara","orcid":"https://orcid.org/0000-0002-5701-7466"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki NAKAHARA","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043084588"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42681168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E103.D","issue":"12","first_page":"2463","last_page":"2470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.862746000289917},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7922472357749939},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6654328107833862},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6194454431533813},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6132553219795227},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6048571467399597},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5291262865066528},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5025718212127686},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48398351669311523},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.47666457295417786},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.44044506549835205},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4201889932155609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3479641377925873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34794896841049194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3445558547973633},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3159554600715637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14088663458824158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09212365746498108},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08976444602012634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.862746000289917},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7922472357749939},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6654328107833862},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6194454431533813},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6132553219795227},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6048571467399597},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5291262865066528},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5025718212127686},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48398351669311523},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.47666457295417786},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.44044506549835205},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4201889932155609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479641377925873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34794896841049194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3445558547973633},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3159554600715637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14088663458824158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09212365746498108},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08976444602012634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2020pap0013","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020pap0013","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020PAP0013/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2020pap0013","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020pap0013","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020PAP0013/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2920681495","display_name":null,"funder_award_id":"(CREST)","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107971386.pdf","grobid_xml":"https://content.openalex.org/works/W3107971386.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2163605009","https://openalex.org/W2171943915","https://openalex.org/W2285660444","https://openalex.org/W2516141709","https://openalex.org/W2565851976","https://openalex.org/W2582745083","https://openalex.org/W2618530766","https://openalex.org/W2625457103","https://openalex.org/W2657126969","https://openalex.org/W2764043458","https://openalex.org/W2767827820","https://openalex.org/W2790248590","https://openalex.org/W2798299359","https://openalex.org/W2899481200","https://openalex.org/W2904902077","https://openalex.org/W2908968233","https://openalex.org/W2915717553","https://openalex.org/W2919115771","https://openalex.org/W2926066262","https://openalex.org/W2950656546","https://openalex.org/W2952088488","https://openalex.org/W2963674932","https://openalex.org/W2964152344","https://openalex.org/W4240168186","https://openalex.org/W4242765802","https://openalex.org/W4251575795","https://openalex.org/W4289441319"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2076915000","https://openalex.org/W4221139464","https://openalex.org/W4289827464"],"abstract_inverted_index":{"In":[0],"the":[1,12,20,30,35,50,82,93,132,141,158],"realization":[2],"of":[3,15,19,32,37,85,127,146,157],"convolutional":[4],"neural":[5],"networks":[6],"(CNNs)":[7],"in":[8],"resource-constrained":[9],"embedded":[10],"hardware,":[11],"memory":[13],"footprint":[14],"weights":[16,39,76],"is":[17,40],"one":[18],"primary":[21],"problems.":[22],"Pruning":[23],"techniques":[24],"are":[25],"often":[26],"used":[27],"to":[28,48,64],"reduce":[29],"number":[31,84],"weights.":[33],"However,":[34],"distribution":[36],"nonzero":[38,86],"highly":[41],"skewed,":[42],"which":[43],"makes":[44],"it":[45],"more":[46],"difficult":[47],"utilize":[49],"underlying":[51],"parallelism.":[52],"To":[53],"address":[54],"this":[55],"problem,":[56],"we":[57,96],"present":[58],"SENTEI*,":[59],"filter-wise":[60,73],"pruning":[61,74],"with":[62,69,90,122,167],"distillation,":[63],"realize":[65],"hardware-aware":[66,165],"network":[67,166],"architecture":[68],"comparable":[70,168],"accuracy.":[71,94,169],"The":[72,107],"eliminates":[75],"such":[77],"that":[78,131],"each":[79],"filter":[80],"has":[81],"same":[83],"weights,":[87],"and":[88,143,152],"retraining":[89],"distillation":[91],"retains":[92],"Further,":[95],"develop":[97],"a":[98,113,117],"zero-weight":[99],"skipping":[100],"inter-layer":[101],"pipelined":[102],"accelerator":[103],"on":[104],"an":[105],"FPGA.":[106],"equalization":[108],"enables":[109],"inter-filter":[110],"parallelism,":[111],"where":[112],"processing":[114],"block":[115],"for":[116],"layer":[118],"executes":[119],"filters":[120],"concurrently":[121],"straightforward":[123],"architecture.":[124],"Our":[125],"evaluation":[126],"semantic-segmentation":[128],"tasks":[129],"indicates":[130],"resulting":[133],"mIoU":[134],"only":[135],"decreased":[136],"by":[137],"0.4":[138],"points.":[139],"Additionally,":[140],"speedup":[142],"power":[144],"efficiency":[145],"our":[147,162],"FPGA":[148],"implementation":[149],"were":[150],"33.2\u00d7":[151],"87.9\u00d7":[153],"higher":[154],"than":[155],"those":[156],"mobile":[159],"GPU.":[160],"Therefore,":[161],"technique":[163],"realizes":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
