{"id":"https://openalex.org/W3215290109","doi":"https://doi.org/10.1109/taslp.2022.3182856","title":"EfficientTDNN: Efficient Architecture Search for Speaker Recognition","display_name":"EfficientTDNN: Efficient Architecture Search for Speaker Recognition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3215290109","doi":"https://doi.org/10.1109/taslp.2022.3182856","mag":"3215290109"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3182856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3182856","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.13581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100431267","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-5211-2114"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5211-2114","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004301353","display_name":"Zhihua Wei","orcid":"https://orcid.org/0000-0002-5937-3907"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wei","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5937-3907","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083020611","display_name":"Haoran Duan","orcid":"https://orcid.org/0000-0001-9956-7020"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haoran Duan","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9956-7020","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058611515","display_name":"Shouling Ji","orcid":"https://orcid.org/0000-0003-4268-372X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouling Ji","raw_affiliation_strings":["NESA Lab, College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4268-372X","affiliations":[{"raw_affiliation_string":"NESA Lab, College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011037821","display_name":"Yang Long","orcid":"https://orcid.org/0000-0002-2445-6112"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Long","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100626222","display_name":"Zhen Hong","orcid":"https://orcid.org/0000-0001-9956-3732"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Hong","raw_affiliation_strings":["Institute of Cyberspace Security, and College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9956-3732","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, and College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3225,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89394405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"2267","last_page":"2279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8008195161819458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5913676619529724},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5733739733695984},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.5694617629051208},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5118443369865417},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5001082420349121},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4956279993057251},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.484479159116745},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4814559817314148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47194212675094604},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4564949572086334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44681552052497864},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42371299862861633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19737935066223145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008195161819458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5913676619529724},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5733739733695984},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5694617629051208},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5118443369865417},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5001082420349121},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4956279993057251},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.484479159116745},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4814559817314148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47194212675094604},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4564949572086334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44681552052497864},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42371299862861633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19737935066223145},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/taslp.2022.3182856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3182856","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:36967","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/36967/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, Vol.30, pp.2267-2279 [Peer Reviewed Journal]","raw_type":"Article"},{"id":"pmh:oai:arXiv.org:2103.13581","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13581","pdf_url":"https://arxiv.org/pdf/2103.13581","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:durham-repository.worktribe.com:1191908","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1191908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.13581","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13581","pdf_url":"https://arxiv.org/pdf/2103.13581","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"awards":[{"id":"https://openalex.org/G1703248516","display_name":null,"funder_award_id":"62072408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G23458378","display_name":null,"funder_award_id":"61976160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G485530534","display_name":null,"funder_award_id":"61,976,158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5036809106","display_name":null,"funder_award_id":"62076182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5387966317","display_name":null,"funder_award_id":"61906137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5686205310","display_name":null,"funder_award_id":"62076184","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1528954144","https://openalex.org/W2194775991","https://openalex.org/W2219249508","https://openalex.org/W2516764878","https://openalex.org/W2553303224","https://openalex.org/W2604319603","https://openalex.org/W2696967604","https://openalex.org/W2808631503","https://openalex.org/W2810075754","https://openalex.org/W2884412522","https://openalex.org/W2885820039","https://openalex.org/W2890654588","https://openalex.org/W2890964092","https://openalex.org/W2916104401","https://openalex.org/W2928165649","https://openalex.org/W2936774411","https://openalex.org/W2939061993","https://openalex.org/W2951104886","https://openalex.org/W2962788625","https://openalex.org/W2963374479","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964259004","https://openalex.org/W2969985801","https://openalex.org/W2972712416","https://openalex.org/W2981087920","https://openalex.org/W2991951409","https://openalex.org/W2994749257","https://openalex.org/W3004767381","https://openalex.org/W3007549584","https://openalex.org/W3009759658","https://openalex.org/W3010925296","https://openalex.org/W3013020904","https://openalex.org/W3024541814","https://openalex.org/W3024869864","https://openalex.org/W3047225593","https://openalex.org/W3090254849","https://openalex.org/W3094918968","https://openalex.org/W3095175338","https://openalex.org/W3095476325","https://openalex.org/W3095851463","https://openalex.org/W3096025930","https://openalex.org/W3096533519","https://openalex.org/W3096918678","https://openalex.org/W3097244734","https://openalex.org/W3107599876","https://openalex.org/W3121327306","https://openalex.org/W3145444543","https://openalex.org/W3150425637","https://openalex.org/W3160919572","https://openalex.org/W3200690474","https://openalex.org/W3206752670","https://openalex.org/W4225789456","https://openalex.org/W4283014282","https://openalex.org/W4289750118","https://openalex.org/W4309845474","https://openalex.org/W6688816777","https://openalex.org/W6729956949","https://openalex.org/W6752515464","https://openalex.org/W6753344092","https://openalex.org/W6753575415","https://openalex.org/W6756887525","https://openalex.org/W6767064347","https://openalex.org/W6771538394","https://openalex.org/W6773491187","https://openalex.org/W6774067568","https://openalex.org/W6774564504","https://openalex.org/W6783527727","https://openalex.org/W6789284983","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W2964954556","https://openalex.org/W4386858688","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085","https://openalex.org/W4367598165"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,8,54],"networks":[2],"(CNNs),":[3],"such":[4,80],"as":[5,59,81,199,201],"the":[6,35,65,114,132,138,151,163,167,211],"time-delay":[7],"network":[9],"(TDNN),":[10],"have":[11],"shown":[12],"their":[13],"remarkable":[14],"capability":[15],"in":[16,28,63,75],"learning":[17],"speaker":[18,82],"embedding.":[19],"However,":[20],"they":[21],"meanwhile":[22],"bring":[23],"a":[24,40,44,60,97,101,183,222],"huge":[25],"computational":[26],"cost":[27],"storage":[29],"size,":[30],"processing,":[31],"and":[32,70,100,117,175,220,227],"memory.":[33],"Discovering":[34],"specialized":[36],"CNN":[37],"that":[38,210],"meets":[39],"specific":[41],"constraint":[42],"requires":[43],"substantial":[45],"effort":[46],"of":[47,96,110,113,120,130,154],"human":[48],"experts.":[49],"Compared":[50],"with":[51,156,189,196,204],"hand-designed":[52],"approaches,":[53],"architecture":[55,67,92,141],"search":[56,93],"(NAS)":[57],"appears":[58],"practical":[61],"technique":[62],"automating":[64],"manual":[66],"design":[68],"process":[69],"has":[71],"attracted":[72],"increasing":[73],"interest":[74],"spoken":[76],"language":[77],"processing":[78],"tasks":[79],"recognition.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87],"propose":[88],"EfficientTDNN,":[89],"an":[90],"efficient":[91],"framework":[94],"consisting":[95],"TDNN-based":[98],"supernet":[99,106,213],"TDNN-NAS":[102,133],"algorithm.":[103],"The":[104],"proposed":[105,168],"introduces":[107],"temporal":[108],"convolution":[109],"different":[111,124,178],"ranges":[112],"receptive":[115],"field":[116],"feature":[118],"aggregation":[119],"various":[121,157],"resolutions":[122],"from":[123],"layers":[125],"to":[126],"TDNN.":[127],"On":[128],"top":[129],"it,":[131],"algorithm":[134],"quickly":[135],"searches":[136],"for":[137],"desired":[139],"TDNN":[140],"via":[142],"weight-sharing":[143],"subnets,":[144],"which":[145],"surprisingly":[146],"reduces":[147],"computation":[148,179],"while":[149],"handling":[150],"vast":[152],"number":[153],"devices":[155],"resources":[158],"requirements.":[159],"Experimental":[160],"results":[161],"on":[162],"VoxCeleb":[164],"dataset":[165],"show":[166],"EfficientTDNN":[169],"enables":[170],"approximate$10^{13}$architectures":[171],"concerning":[172],"depth,":[173],"kernel,":[174],"width.":[176],"Considering":[177],"constraints,":[180],"it":[181],"achieves":[182],"2.20&#x0025;":[184],"equal":[185],"error":[186],"rate":[187],"(EER)":[188],"204&#x00A0;M":[190],"multiply-accumulate":[191],"operations":[192],"(MACs),":[193],"1.41&#x0025;":[194],"EER":[195,203],"571&#x00A0;M":[197],"MACs":[198],"well":[200],"0.94&#x0025;":[202],"1.45&#x00A0;G":[205],"MACs.":[206],"Comprehensive":[207],"investigations":[208],"suggest":[209],"trained":[212],"generalizes":[214],"subnets":[215],"not":[216],"sampled":[217],"during":[218],"training":[219],"obtains":[221],"favorable":[223],"trade-off":[224],"between":[225],"accuracy":[226],"efficiency.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
