{"id":"https://openalex.org/W2904170036","doi":"https://doi.org/10.1609/aaai.v33i01.33015565","title":"Data-Distortion Guided Self-Distillation for Deep Neural Networks","display_name":"Data-Distortion Guided Self-Distillation for Deep Neural Networks","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904170036","doi":"https://doi.org/10.1609/aaai.v33i01.33015565","mag":"2904170036"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015565","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015565","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4498/4376","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4498/4376","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033640729","display_name":"Ting-Bing Xu","orcid":"https://orcid.org/0000-0002-0835-5792"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting-Bing Xu","raw_affiliation_strings":["Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714202","display_name":"Cheng\u2010Lin Liu","orcid":"https://orcid.org/0000-0002-6743-4175"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin Liu","raw_affiliation_strings":["Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033640729"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":9.8425,"has_fulltext":true,"cited_by_count":181,"citation_normalized_percentile":{"value":0.98244133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"5565","last_page":"5572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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":0.9972000122070312,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8044854402542114},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7144317626953125},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7028848528862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.630887508392334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6108599901199341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.586560070514679},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5442474484443665},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5284421443939209},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5214576125144958},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4826822578907013},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4275941848754883},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4272307753562927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34683483839035034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07324564456939697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044854402542114},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7144317626953125},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7028848528862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630887508392334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6108599901199341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.586560070514679},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5442474484443665},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5284421443939209},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5214576125144958},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4826822578907013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4275941848754883},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4272307753562927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34683483839035034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07324564456939697},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015565","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015565","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4498/4376","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015565","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015565","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4498/4376","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4574441499","display_name":null,"funder_award_id":"6163302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6431871145","display_name":null,"funder_award_id":"61721004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7010190359","display_name":null,"funder_award_id":"61633021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8679641091","display_name":null,"funder_award_id":"6172100","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2904170036.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W603908379","https://openalex.org/W1600737329","https://openalex.org/W1673923490","https://openalex.org/W1677182931","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2079057609","https://openalex.org/W2117539524","https://openalex.org/W2134797427","https://openalex.org/W2138621090","https://openalex.org/W2142165428","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2172166488","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2520774990","https://openalex.org/W2561238782","https://openalex.org/W2737121650","https://openalex.org/W2747685395","https://openalex.org/W2748428003","https://openalex.org/W2750784772","https://openalex.org/W2765407302","https://openalex.org/W2772804149","https://openalex.org/W2785648721","https://openalex.org/W2787017828","https://openalex.org/W2803023299","https://openalex.org/W2950094539","https://openalex.org/W2950248853","https://openalex.org/W2952899695","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963785012","https://openalex.org/W2963927126","https://openalex.org/W2964137095","https://openalex.org/W3099206234","https://openalex.org/W3118608800","https://openalex.org/W4234674466","https://openalex.org/W4297797729","https://openalex.org/W4320013936","https://openalex.org/W6618372016","https://openalex.org/W6637162671","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6681324666","https://openalex.org/W6683826617","https://openalex.org/W6685405536","https://openalex.org/W6687483927","https://openalex.org/W6698183232","https://openalex.org/W6713132643","https://openalex.org/W6725739302","https://openalex.org/W6726275242","https://openalex.org/W6738591926","https://openalex.org/W6743440100","https://openalex.org/W6748097816","https://openalex.org/W6751751081"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4205117943","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3179744494"],"abstract_inverted_index":{"Knowledge":[0],"distillation":[1,136],"is":[2,83],"an":[3],"effective":[4,22],"technique":[5],"that":[6,112],"has":[7],"been":[8],"widely":[9],"used":[10],"for":[11],"transferring":[12],"knowledge":[13,61],"from":[14],"a":[15,54],"network":[16,25,39,82,124],"to":[17,59],"another":[18],"network.":[19],"Despite":[20],"its":[21],"improvement":[23],"of":[24,29,37,43,66,80,100,122],"performance,":[26],"the":[27,34,41,71,77,113,119],"dependence":[28],"accompanying":[30,74],"assistive":[31],"models":[32],"complicates":[33],"training":[35,68,141],"process":[36],"single":[38,81],"in":[40],"need":[42],"large":[44],"memory":[45],"and":[46,91,109,132],"time":[47],"cost.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"design":[53],"more":[55],"elegant":[56],"self-distillation":[57],"mechanism":[58],"transfer":[60],"between":[62],"different":[63],"distorted":[64,98],"versions":[65,99],"same":[67],"data":[69],"without":[70],"reliance":[72],"on":[73,104],"models.":[75],"Specifically,":[76],"potential":[78],"capacity":[79],"excavated":[84],"by":[85],"learning":[86],"consistent":[87],"global":[88],"feature":[89],"distributions":[90,93],"posterior":[92],"(class":[94],"probabilities)":[95],"across":[96],"these":[97],"data.":[101],"Extensive":[102],"experiments":[103],"multiple":[105],"datasets":[106],"(i.e.,":[107],"CIFAR-10/100":[108],"ImageNet)":[110],"demonstrate":[111],"proposed":[114],"method":[115],"can":[116],"effectively":[117],"improve":[118],"generalization":[120],"performance":[121],"various":[123],"architectures":[125],"(such":[126],"as":[127],"AlexNet,":[128],"ResNet,":[129,131],"Wide":[130],"DenseNet),":[133],"outperform":[134],"existing":[135],"methods":[137],"with":[138],"little":[139],"extra":[140],"efforts.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
