{"id":"https://openalex.org/W4385488502","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191612","title":"CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators","display_name":"CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488502","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191612"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191612","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5101557260","display_name":"Minah Lee","orcid":"https://orcid.org/0000-0002-3800-802X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Minah Lee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072117537","display_name":"Anni Lu","orcid":"https://orcid.org/0000-0002-4415-0866"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anni Lu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018450995","display_name":"Mandovi Mukherjee","orcid":"https://orcid.org/0000-0001-9837-8076"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mandovi Mukherjee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054894631","display_name":"Shimeng Yu","orcid":"https://orcid.org/0000-0002-0068-3652"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimeng Yu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009591041","display_name":"Saibal Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8894-3390"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saibal Mukhopadhyay","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101557260"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42983592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998199999332428,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9957000017166138,"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":0.9944000244140625,"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":0.7732059955596924},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.715896725654602},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6677975058555603},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6266633868217468},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49583563208580017},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4304559528827667},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.42625465989112854},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41147342324256897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4062890410423279},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32869860529899597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732059955596924},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.715896725654602},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6677975058555603},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6266633868217468},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49583563208580017},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4304559528827667},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42625465989112854},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41147342324256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4062890410423279},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32869860529899597},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191612","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2135407913","https://openalex.org/W2194775991","https://openalex.org/W2295683497","https://openalex.org/W2891269274","https://openalex.org/W2904979775","https://openalex.org/W2946047477","https://openalex.org/W2962677013","https://openalex.org/W2963238274","https://openalex.org/W2974098375","https://openalex.org/W3016021860","https://openalex.org/W3085138611","https://openalex.org/W3093675741","https://openalex.org/W3112740243","https://openalex.org/W3155456425","https://openalex.org/W3176606713","https://openalex.org/W3183773795","https://openalex.org/W4221101426","https://openalex.org/W4293243633","https://openalex.org/W4312081519","https://openalex.org/W6684809622","https://openalex.org/W6730042731","https://openalex.org/W6751979845","https://openalex.org/W6762187592","https://openalex.org/W6767915748"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583","https://openalex.org/W4221071877"],"abstract_inverted_index":{"One":[0],"of":[1,5,27,41,55,105,142],"the":[2,39],"primary":[3],"challenges":[4],"deploying":[6],"deep":[7],"neural":[8],"networks":[9],"(DNNs)":[10],"is":[11,33,116],"ensuring":[12],"their":[13],"reliable":[14],"performance":[15],"in":[16,35],"unpredictable":[17],"edge":[18],"environments,":[19],"which":[20,73,128,147],"are":[21],"often":[22],"disrupted":[23],"by":[24],"a":[25,149],"variety":[26],"uncertainties":[28],"and":[29,44,83,102,156],"variations.":[30],"Estimating":[31],"uncertainty":[32,50,76,94,130],"crucial":[34],"order":[36],"to":[37,97,109,118,134],"understand":[38],"reliability":[40],"task":[42,75,111,154],"predictions":[43],"prevent":[45],"system":[46],"failures.":[47],"However,":[48],"quantifying":[49],"stemming":[51],"from":[52,78,124],"non-ideal":[53],"properties":[54],"processing":[56,125,143],"hardware":[57,81,126,144],"has":[58],"not":[59],"yet":[60],"been":[61],"thoroughly":[62],"studied.":[63],"To":[64],"address":[65],"this,":[66],"we":[67,137],"present":[68],"Cross-Layer":[69],"Uncertainty":[70],"Estimator":[71],"(CLUE),":[72],"quantifies":[74],"originating":[77],"both":[79],"sensing/processing":[80],"variations":[82],"DNN":[84,112],"algorithm":[85],"uncertainty.":[86],"Our":[87],"experimental":[88],"results":[89],"demonstrate":[90,138],"that":[91,122],"CLUE":[92,115],"provides":[93],"with":[95],"up":[96],"80.4%":[98],"less":[99],"calibration":[100],"error":[101],"only":[103],"12%":[104],"energy":[106,157],"overheads":[107],"compared":[108],"using":[110,145],"solely.":[113],"Furthermore,":[114],"able":[117],"detect":[119],"unreliable":[120],"tasks":[121],"stem":[123],"variations,":[127],"prior":[129],"estimators":[131],"were":[132],"unable":[133],"achieve.":[135],"Finally,":[136],"an":[139],"adaptive":[140],"control":[141,152],"CLUE,":[146],"allows":[148],"dynamic":[150],"trade-off":[151],"between":[153],"accuracy":[155],"consumption.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
