{"id":"https://openalex.org/W4396817216","doi":"https://doi.org/10.1109/tnnls.2024.3394511","title":"Feature Noise Boosts DNN Generalization Under Label Noise","display_name":"Feature Noise Boosts DNN Generalization Under Label Noise","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4396817216","doi":"https://doi.org/10.1109/tnnls.2024.3394511","pmid":"https://pubmed.ncbi.nlm.nih.gov/38728126"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3394511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3394511","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5040306460","display_name":"Lu Zeng","orcid":"https://orcid.org/0000-0002-6162-1295"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zeng","raw_affiliation_strings":["Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6162-1295","affiliations":[{"raw_affiliation_string":"Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446798","display_name":"Xuan Chen","orcid":"https://orcid.org/0000-0002-0061-8148"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Chen","raw_affiliation_strings":["Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069008709","display_name":"Xiaoshuang Shi","orcid":"https://orcid.org/0000-0003-4934-0850"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuang Shi","raw_affiliation_strings":["Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4934-0850","affiliations":[{"raw_affiliation_string":"Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2999-2088","affiliations":[{"raw_affiliation_string":"Center for Future Media and the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.1114,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80219216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"4","first_page":"7711","last_page":"7724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.994700014591217,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.994700014591217,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9751999974250793,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9679999947547913,"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/generalization","display_name":"Generalization","score":0.9394124746322632},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7875834703445435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634626030921936},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6122487783432007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47034505009651184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.464611679315567},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4391189515590668},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4279361665248871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2833878993988037}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.9394124746322632},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7875834703445435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634626030921936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6122487783432007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47034505009651184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.464611679315567},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4391189515590668},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4279361665248871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2833878993988037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3394511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3394511","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38728126","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38728126","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8519456701","display_name":null,"funder_award_id":"62276052","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2078524519","https://openalex.org/W2080744942","https://openalex.org/W2194775991","https://openalex.org/W2566079294","https://openalex.org/W2575469168","https://openalex.org/W2592335154","https://openalex.org/W2683470288","https://openalex.org/W2765407302","https://openalex.org/W2964015378","https://openalex.org/W2964080999","https://openalex.org/W2964292098","https://openalex.org/W3036586801","https://openalex.org/W3110687497","https://openalex.org/W3150608155","https://openalex.org/W3170349722","https://openalex.org/W3177096435","https://openalex.org/W3186514747","https://openalex.org/W4206410067","https://openalex.org/W4244569433","https://openalex.org/W4287947470","https://openalex.org/W4320713010","https://openalex.org/W6636705695","https://openalex.org/W6640425456","https://openalex.org/W6682891771","https://openalex.org/W6685133223","https://openalex.org/W6717697761","https://openalex.org/W6726983090","https://openalex.org/W6735544424","https://openalex.org/W6737985840","https://openalex.org/W6738074204","https://openalex.org/W6740005241","https://openalex.org/W6740483536","https://openalex.org/W6743688258","https://openalex.org/W6749952941","https://openalex.org/W6750523955","https://openalex.org/W6752343131","https://openalex.org/W6753772092","https://openalex.org/W6758359583","https://openalex.org/W6758632346","https://openalex.org/W6758684365","https://openalex.org/W6760993166","https://openalex.org/W6763430915","https://openalex.org/W6763810570","https://openalex.org/W6766313662","https://openalex.org/W6774796142","https://openalex.org/W6779482673","https://openalex.org/W6781063151","https://openalex.org/W6796912519","https://openalex.org/W6797189378","https://openalex.org/W6839961671","https://openalex.org/W6846715175","https://openalex.org/W6913003817"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"The":[0,145],"presence":[1],"of":[2,16,42,50,114,142,148],"label":[3,53,63,119,139],"noise":[4,32,38,64,120,140],"in":[5,78],"the":[6,14,40,48,72,88,92,96,100,111,132,138,149],"training":[7,43],"data":[8,44],"has":[9],"a":[10,29,106],"profound":[11],"impact":[12],"on":[13,87,126,154],"generalization":[15,49,69,73,81,101,141],"deep":[17],"neural":[18],"networks":[19],"(DNNs).":[20],"In":[21],"this":[22],"study,":[23],"we":[24,56,104],"introduce":[25],"and":[26,45,75,95],"theoretically":[27],"demonstrate":[28,130],"simple":[30],"feature":[31],"(FN)":[33],"method,":[34],"which":[35,98],"directly":[36],"adds":[37],"to":[39,60,66,109],"features":[41],"can":[46,135],"enhance":[47,137],"DNNs":[51],"under":[52],"noise.":[54],"Specifically,":[55],"conduct":[57,105],"theoretical":[58],"analyses":[59],"reveal":[61],"that":[62,116,131],"leads":[65],"weakened":[67],"DNN":[68,80],"by":[70,82],"loosening":[71],"bound,":[74],"FN":[76,115,133,150],"results":[77,125],"better":[79],"imposing":[83],"an":[84],"upper":[85],"bound":[86],"mutual":[89],"information":[90],"between":[91],"model":[93],"weights":[94],"features,":[97],"constrains":[99],"bound.":[102],"Furthermore,":[103],"qualitative":[107],"analysis":[108],"discuss":[110],"ideal":[112],"type":[113],"obtains":[117],"good":[118],"generalization.":[121],"Finally,":[122],"extensive":[123],"experimental":[124],"several":[127],"popular":[128],"datasets":[129],"method":[134,151],"significantly":[136],"state-of-the-art":[143],"methods.":[144],"source":[146],"codes":[147],"are":[152],"available":[153],"https://github.com/zlzenglu/FN.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}