{"id":"https://openalex.org/W3167143090","doi":"https://doi.org/10.1109/icme51207.2021.9428072","title":"Interpret The Predictions Of Deep Networks Via Re-Label Distillation","display_name":"Interpret The Predictions Of Deep Networks Via Re-Label Distillation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3167143090","doi":"https://doi.org/10.1109/icme51207.2021.9428072","mag":"3167143090"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5025185088","display_name":"Yingying Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Hua","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033254559","display_name":"Shiming Ge","orcid":"https://orcid.org/0000-0001-5293-310X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiming Ge","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076296616","display_name":"Daichi Zhang","orcid":"https://orcid.org/0000-0002-5377-964X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daichi Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China,100195","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07078493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9945999979972839,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9930999875068665,"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":0.8043898344039917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7234630584716797},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6625930666923523},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5473138093948364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5430275201797485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5028547644615173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47488921880722046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.465295672416687},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4582591950893402},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4242689609527588},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.410126268863678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32143130898475647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043898344039917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7234630584716797},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6625930666923523},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5473138093948364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5430275201797485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5028547644615173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47488921880722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.465295672416687},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4582591950893402},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4242689609527588},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.410126268863678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32143130898475647},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1849277567","https://openalex.org/W2187089797","https://openalex.org/W2616247523","https://openalex.org/W2776207810","https://openalex.org/W2908309447","https://openalex.org/W2921712231","https://openalex.org/W2963374347","https://openalex.org/W2963676163","https://openalex.org/W2964108846","https://openalex.org/W2964306570","https://openalex.org/W2981731882","https://openalex.org/W2982560934","https://openalex.org/W2988157455","https://openalex.org/W3034375838","https://openalex.org/W3035253074","https://openalex.org/W3094193695","https://openalex.org/W3101640504","https://openalex.org/W3102564565","https://openalex.org/W3133894893","https://openalex.org/W3194668998","https://openalex.org/W4287652083","https://openalex.org/W4300235091","https://openalex.org/W6638523607","https://openalex.org/W6639204139","https://openalex.org/W6733974131","https://openalex.org/W6752170072","https://openalex.org/W6757793994","https://openalex.org/W6788084180"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W4377865163","https://openalex.org/W3184396788"],"abstract_inverted_index":{"Interpreting":[0],"the":[1,10,30,33,79,83,96,104,116,121,125,135,140],"predictions":[2],"of":[3,12,67,120,142],"a":[4,20,26,36,44,88,130],"black-box":[5],"deep":[6,84,122],"network":[7,85],"can":[8,62,113,128],"facilitate":[9],"reliability":[11],"its":[13,55],"deployment.":[14],"In":[15,106],"this":[16,107],"work,":[17],"we":[18],"propose":[19],"re-label":[21],"distillation":[22],"approach":[23,144],"to":[24,32,47,94,103],"learn":[25],"direct":[27],"map":[28],"from":[29],"input":[31],"prediction":[34],"in":[35],"self-supervision":[37],"manner.":[38],"The":[39],"image":[40],"is":[41,92],"projected":[42],"into":[43,65],"VAE":[45],"subspace":[46],"generate":[48],"some":[49],"synthetic":[50,60,101,111],"images":[51,61,102,112],"by":[52,70,82,98],"randomly":[53],"perturbing":[54],"latent":[56],"vector.":[57],"Then,":[58],"these":[59,100,109],"be":[63],"annotated":[64,81],"one":[66],"two":[68],"classes":[69],"identifying":[71],"whether":[72],"their":[73],"labels":[74,80],"shift.":[75],"After":[76],"that,":[77],"using":[78],"as":[86],"teacher,":[87],"linear":[89],"student":[90,127],"model":[91],"trained":[93],"approximate":[95],"annotations":[97],"mapping":[99],"classes.":[105],"manner,":[108],"re-labeled":[110],"well":[114],"describe":[115],"local":[117],"classification":[118],"mechanism":[119],"network,":[123],"and":[124,146],"learned":[126],"provide":[129],"more":[131],"intuitive":[132],"explanation":[133],"towards":[134],"predictions.":[136],"Extensive":[137],"experiments":[138],"verify":[139],"effectiveness":[141],"our":[143],"qualitatively":[145],"quantitatively.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
