{"id":"https://openalex.org/W3080303273","doi":"https://doi.org/10.1109/isit44484.2020.9174137","title":"Functional Error Correction for Reliable Neural Networks","display_name":"Functional Error Correction for Reliable Neural Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3080303273","doi":"https://doi.org/10.1109/isit44484.2020.9174137","mag":"3080303273"},"language":"en","primary_location":{"id":"doi:10.1109/isit44484.2020.9174137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013447859","display_name":"Kunping Huang","orcid":"https://orcid.org/0000-0002-8294-6064"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunping Huang","raw_affiliation_strings":["Texas A&M University,CSE Department,College Station,TX,77843","CSE Department, Texas A&M University, College Station, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,CSE Department,College Station,TX,77843","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"CSE Department, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060049531","display_name":"Paul H. Siegel","orcid":"https://orcid.org/0000-0001-5850-0874"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul H. Siegel","raw_affiliation_strings":["University of California, San Diego,ECE Department,La Jolla,CA,92093","ECE Department, University of California, San Diego, La Jolla, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego,ECE Department,La Jolla,CA,92093","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"ECE Department, University of California, San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103150810","display_name":"Anxiao Jiang","orcid":"https://orcid.org/0000-0002-0120-7930"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anxiao Andrew Jiang","raw_affiliation_strings":["Texas A&M University,CSE Department,College Station,TX,77843","CSE Department, Texas A&M University, College Station, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,CSE Department,College Station,TX,77843","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"CSE Department, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.035,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80779867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2694","last_page":"2699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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/T11005","display_name":"Radiation Effects in Electronics","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8320596218109131},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.773914098739624},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.6720030307769775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5692922472953796},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5291982889175415},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5086773037910461},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43092501163482666},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42971915006637573},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.42075881361961365},{"id":"https://openalex.org/keywords/error-function","display_name":"Error function","score":0.4184715449810028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2856433689594269},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22450757026672363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8320596218109131},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.773914098739624},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.6720030307769775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5692922472953796},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5291982889175415},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5086773037910461},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43092501163482666},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42971915006637573},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.42075881361961365},{"id":"https://openalex.org/C202286095","wikidata":"https://www.wikidata.org/wiki/Q579262","display_name":"Error function","level":2,"score":0.4184715449810028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2856433689594269},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22450757026672363},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit44484.2020.9174137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1612106836","https://openalex.org/W1625345914","https://openalex.org/W1686810756","https://openalex.org/W1987856988","https://openalex.org/W1990795294","https://openalex.org/W2102566596","https://openalex.org/W2109908704","https://openalex.org/W2112796928","https://openalex.org/W2119144962","https://openalex.org/W2136062658","https://openalex.org/W2147735869","https://openalex.org/W2149431208","https://openalex.org/W2160495183","https://openalex.org/W2173248099","https://openalex.org/W2194775991","https://openalex.org/W2294759895","https://openalex.org/W2512234338","https://openalex.org/W2560647685","https://openalex.org/W2748528844","https://openalex.org/W2754815949","https://openalex.org/W2771112233","https://openalex.org/W2785761580","https://openalex.org/W2792498055","https://openalex.org/W2793548940","https://openalex.org/W2900694899","https://openalex.org/W2954777397","https://openalex.org/W2963062801","https://openalex.org/W2963864421","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W2972471494","https://openalex.org/W2981860227","https://openalex.org/W3080303273","https://openalex.org/W3104543179","https://openalex.org/W3106300501","https://openalex.org/W3118608800","https://openalex.org/W4242053016","https://openalex.org/W6637373629","https://openalex.org/W6677580257","https://openalex.org/W6684921986","https://openalex.org/W6687483927","https://openalex.org/W6730251247","https://openalex.org/W6744496273","https://openalex.org/W6748182784","https://openalex.org/W6755838813","https://openalex.org/W6767960750","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2494338568","https://openalex.org/W1495042958","https://openalex.org/W2122678784","https://openalex.org/W2282510344","https://openalex.org/W139987158","https://openalex.org/W2183994405","https://openalex.org/W2981191153","https://openalex.org/W2109390513","https://openalex.org/W168676510","https://openalex.org/W2399401597"],"abstract_inverted_index":{"When":[0],"deep":[1,174],"neural":[2],"networks":[3],"(DNNs)":[4],"are":[5],"implemented":[6],"in":[7,15,21,49,72],"hardware,":[8],"their":[9],"weights":[10,122],"need":[11],"to":[12,34,40,56,104,182],"be":[13,128],"stored":[14,23],"memory":[16],"devices.":[17],"As":[18],"noise":[19],"accumulates":[20],"the":[22,25,42,52,58,67,73,80,88,118,121,133,183,187,195],"weights,":[24,109],"DNN's":[26,59,125,166],"performance":[27,60,126,193],"will":[28],"degrade.":[29],"This":[30],"paper":[31],"studies":[32],"how":[33],"use":[35],"error":[36,47,62,89,197],"correcting":[37],"codes":[38],"(ECCs)":[39],"protect":[41],"weights.":[43],"Different":[44],"from":[45],"classic":[46],"correction":[48,90,198],"data":[50],"storage,":[51],"optimization":[53],"objective":[54],"is":[55,92,97],"optimize":[57],"after":[61],"correction,":[63],"instead":[64],"of":[65,85,106,108,147],"minimizing":[66],"Uncorrectable":[68],"Bit":[69],"Error":[70],"Rate":[71],"protected":[74],"bits.":[75],"That":[76],"is,":[77],"by":[78],"seeing":[79],"DNN":[81,100],"as":[82],"a":[83,99,111,137,145],"function":[84],"its":[86,124],"input,":[87],"scheme":[91],"function-oriented.":[93],"A":[94],"main":[95],"challenge":[96],"that":[98,180],"often":[101],"has":[102],"millions":[103,107],"hundreds":[105],"causing":[110],"large":[112],"redundancy":[113,164],"overhead":[114],"for":[115,150,194],"ECCs,":[116],"and":[117,123,157,165],"relationship":[119],"between":[120,162],"can":[127],"highly":[129],"complex.":[130],"To":[131,153],"address":[132],"challenge,":[134],"we":[135,168],"propose":[136],"Selective":[138],"Protection":[139],"(SP)":[140],"scheme,":[141,186],"which":[142],"chooses":[143],"only":[144],"subset":[146],"important":[148],"bits":[149,156],"ECC":[151],"protection.":[152],"find":[154],"such":[155],"achieve":[158],"an":[159,170],"optimized":[160],"tradeoff":[161],"ECC's":[163],"performance,":[167],"present":[169],"algorithm":[171,189],"based":[172],"on":[173],"reinforcement":[175],"learning.":[176],"Experimental":[177],"results":[178],"verify":[179],"compared":[181],"natural":[184],"baseline":[185],"proposed":[188],"achieves":[190],"substantially":[191],"better":[192],"functional":[196],"task.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}