{"id":"https://openalex.org/W3015565442","doi":"https://doi.org/10.1109/icassp40776.2020.9054698","title":"Adaptive Knowledge Distillation Based on Entropy","display_name":"Adaptive Knowledge Distillation Based on Entropy","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015565442","doi":"https://doi.org/10.1109/icassp40776.2020.9054698","mag":"3015565442"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103598856","display_name":"Kisoo Kwon","orcid":"https://orcid.org/0000-0002-6742-5578"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kisoo Kwon","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Samsung Electronics, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Samsung Electronics, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027377615","display_name":"Hwidong Na","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwidong Na","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Samsung Electronics, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Samsung Electronics, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014777103","display_name":"Hoshik Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoshik Lee","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Samsung Electronics, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Samsung Electronics, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051356511","display_name":"Nam Soo Kim","orcid":"https://orcid.org/0000-0002-0568-4902"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nam Soo Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering and INMC, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and INMC, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103598856"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":3.0148,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.92769137,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7409","last_page":"7413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10860","display_name":"Speech and Audio Processing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6489742398262024},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6463871598243713},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5646379590034485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279502272605896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4881640076637268},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4509246051311493},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4371612071990967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38055750727653503},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11284178495407104},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08628863096237183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489742398262024},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6463871598243713},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5646379590034485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279502272605896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4881640076637268},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4509246051311493},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4371612071990967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38055750727653503},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11284178495407104},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08628863096237183},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/icassp40776.2020.9054698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1821462560","https://openalex.org/W1855892484","https://openalex.org/W2005708641","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2184045248","https://openalex.org/W2250357346","https://openalex.org/W2747909401","https://openalex.org/W2750784772","https://openalex.org/W2795155917","https://openalex.org/W2892009249","https://openalex.org/W2936774411","https://openalex.org/W2938974662","https://openalex.org/W2954886595","https://openalex.org/W2962824709","https://openalex.org/W2963403868","https://openalex.org/W2963736842","https://openalex.org/W2963742216","https://openalex.org/W2973215447","https://openalex.org/W4289440825","https://openalex.org/W4385245566","https://openalex.org/W6638523607","https://openalex.org/W6639156005","https://openalex.org/W6684191040","https://openalex.org/W6691509046","https://openalex.org/W6739901393","https://openalex.org/W6743188669","https://openalex.org/W6750109254","https://openalex.org/W6754576867","https://openalex.org/W6765386229"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2885323543","https://openalex.org/W2145649715","https://openalex.org/W3026162553","https://openalex.org/W4225274307"],"abstract_inverted_index":{"Knowledge":[0],"distillation":[1],"(KD)":[2],"approach":[3],"is":[4,61],"widely":[5],"used":[6],"in":[7,135],"the":[8,26,39,52,68,76,106,118,130],"deep":[9],"learning":[10],"field":[11],"mainly":[12],"for":[13],"model":[14,108],"size":[15],"reduction.":[16],"KD":[17,64,102,132],"utilizes":[18,105],"soft":[19],"labels":[20,60,109],"of":[21,41,48,58,83],"teacher":[22,107,120],"model,":[23],"which":[24,104],"contain":[25],"dark-":[27],"knowledge":[28,36,69,86],"that":[29],"one-hot":[30],"ground-truth":[31],"does":[32],"not":[33],"have.":[34],"This":[35],"can":[37,79,89],"improve":[38],"performance":[40,128],"already":[42],"saturated":[43],"student":[44],"model.":[45],"In":[46,94],"case":[47],"multiple-teacher":[49],"models,":[50],"generally,":[51],"same":[53],"weighted":[54],"average":[55],"(interpolated":[56],"training)":[57],"multiple-teacher's":[59],"applied":[62],"to":[63],"training.":[65],"However,":[66],"if":[67],"characteristics":[70,87],"among":[71,117],"teachers":[72],"are":[73],"somewhat":[74],"different,":[75],"interpolated":[77],"training":[78,133],"be":[80],"at":[81,113],"risk":[82],"crushing":[84],"each":[85],"and":[88],"also":[90],"raise":[91],"noise":[92],"component.":[93],"this":[95],"paper,":[96],"we":[97],"propose":[98],"an":[99],"entropy":[100,112],"based":[101],"training,":[103],"with":[110],"lower":[111],"a":[114,126],"larger":[115],"rate":[116],"various":[119],"models.":[121],"The":[122],"proposed":[123],"method":[124],"shows":[125],"better":[127],"than":[129],"conventional":[131],"scheme":[134],"automatic":[136],"speech":[137],"recognition.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}