{"id":"https://openalex.org/W3036137391","doi":"https://doi.org/10.23919/date48585.2020.9116475","title":"Accuracy Tolerant Neural Networks Under Aggressive Power Optimization","display_name":"Accuracy Tolerant Neural Networks Under Aggressive Power Optimization","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3036137391","doi":"https://doi.org/10.23919/date48585.2020.9116475","mag":"3036137391"},"language":"en","primary_location":{"id":"doi:10.23919/date48585.2020.9116475","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5021373145","display_name":"Xiang-Xiu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Xiang-Xiu Wu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009269118","display_name":"Yi-Wen Hung","orcid":"https://orcid.org/0000-0002-0968-9890"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Wen Hung","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882689","display_name":"Yung\u2010Chih Chen","orcid":"https://orcid.org/0000-0002-3934-800X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Chih Chen","raw_affiliation_strings":["Department of Computer Science & Engineering, Yuan Ze University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073382186","display_name":"Shih-Chieh Chang","orcid":"https://orcid.org/0000-0003-0717-6466"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Chieh Chang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021373145"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38020098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"774","last_page":"779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9939000010490417,"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":0.7779021859169006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6918518543243408},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5976136326789856},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.570918083190918},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4804086983203888},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4526108205318451},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.4481278955936432},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4232545495033264},{"id":"https://openalex.org/keywords/propagation-delay","display_name":"Propagation delay","score":0.4230981171131134},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.4197004437446594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3651188611984253},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3552553057670593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23432347178459167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10796132683753967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779021859169006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6918518543243408},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5976136326789856},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.570918083190918},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4804086983203888},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4526108205318451},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.4481278955936432},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4232545495033264},{"id":"https://openalex.org/C90806461","wikidata":"https://www.wikidata.org/wiki/Q1144416","display_name":"Propagation delay","level":2,"score":0.4230981171131134},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4197004437446594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3651188611984253},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3552553057670593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23432347178459167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10796132683753967},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date48585.2020.9116475","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W612784192","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1775715155","https://openalex.org/W1979585379","https://openalex.org/W1982515552","https://openalex.org/W2035570353","https://openalex.org/W2064675550","https://openalex.org/W2098137815","https://openalex.org/W2104677471","https://openalex.org/W2112796928","https://openalex.org/W2119144962","https://openalex.org/W2133564696","https://openalex.org/W2152692509","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2166767167","https://openalex.org/W2194775991","https://openalex.org/W2503057153","https://openalex.org/W2592389822","https://openalex.org/W2613718673","https://openalex.org/W2748528844","https://openalex.org/W2886014761","https://openalex.org/W2899771611","https://openalex.org/W2946682676","https://openalex.org/W2962835968","https://openalex.org/W2962965870","https://openalex.org/W2963037989","https://openalex.org/W2963628712","https://openalex.org/W2963640628","https://openalex.org/W2964118293","https://openalex.org/W2964299589","https://openalex.org/W2964308564","https://openalex.org/W4236432903","https://openalex.org/W6607333740","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6677580257","https://openalex.org/W6679434410","https://openalex.org/W6684191040","https://openalex.org/W6685444988","https://openalex.org/W6726275242","https://openalex.org/W6753645039","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740","https://openalex.org/W2024522858"],"abstract_inverted_index":{"With":[0],"the":[1,21,26,58,70,92,117,125,130,135,140,158,169,178,186,199,207],"success":[2],"of":[3,60,105,127,209],"deep":[4],"learning,":[5],"many":[6],"neural":[7,82,166,193],"network":[8,83,167,194,200],"models":[9,28,84],"have":[10,29,88],"been":[11],"proposed":[12,187],"and":[13,33,52,76,153,172],"applied":[14,40],"to":[15,24,64,87,115,156,176,204],"various":[16],"applications.":[17],"In":[18],"several":[19,192],"applications,":[20],"devices":[22],"used":[23],"implement":[25],"complicated":[27],"limited":[30],"power":[31],"resources,":[32],"thus":[34],"aggressive":[35],"optimization":[36,46],"techniques":[37],"are":[38,85,101],"often":[39],"for":[41,191],"saving":[42],"power.":[43],"However,":[44],"some":[45,78,89],"techniques,":[47],"such":[48],"as":[49],"voltage":[50],"scaling":[51],"multiple":[53],"threshold":[54],"voltages,":[55],"may":[56],"increase":[57],"probability":[59],"error":[61,90],"occurrence":[62],"due":[63],"slow":[65,121,141,210],"signal":[66,122,142,211],"propagation,":[67],"which":[68],"increases":[69],"path":[71],"delay":[72,126],"in":[73,108,144],"a":[74,102,113,145,165],"circuit":[75],"fails":[77],"input":[79],"patterns.":[80],"Although":[81],"considered":[86],"tolerance,":[91],"prediction":[93],"accuracy":[94,201],"could":[95],"be":[96],"significantly":[97,137],"affected,":[98],"when":[99],"there":[100],"large":[103],"number":[104],"errors.":[106],"Thus,":[107],"this":[109],"paper,":[110],"we":[111,133,163],"propose":[112,148],"scheme":[114,188],"mitigate":[116],"errors":[118],"caused":[119],"by":[120,139,202],"propagation.":[123,212],"Since":[124,162],"multipliers":[128],"dominates":[129],"critical":[131],"path,":[132],"consider":[134],"patterns":[136,159],"altered":[138],"propagation":[143],"multiplier.":[146],"We":[147],"two":[149],"methods,":[150],"weight":[151],"distribution":[152],"error-aware":[154],"quantization":[155],"prevent":[157],"from":[160],"failure.":[161],"modify":[164],"on":[168],"software":[170],"side":[171],"it":[173],"is":[174,189],"unnecessary":[175],"re-design":[177],"hardware":[179],"structure.":[180],"The":[181],"experimental":[182],"results":[183],"show":[184],"that":[185],"effective":[190],"models.":[195],"It":[196],"can":[197],"improve":[198],"up":[203],"27%":[205],"under":[206],"consideration":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
