{"id":"https://openalex.org/W3213552198","doi":"https://doi.org/10.1145/3426020.3426051","title":"Dataset Distillation for Core Training Set Construction","display_name":"Dataset Distillation for Core Training Set Construction","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3213552198","doi":"https://doi.org/10.1145/3426020.3426051","mag":"3213552198"},"language":"en","primary_location":{"id":"doi:10.1145/3426020.3426051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","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/A5028471037","display_name":"Yuna Jeong","orcid":"https://orcid.org/0000-0002-6852-499X"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yuna Jeong","raw_affiliation_strings":["Korea Institute of Science and Technology Information, S. Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology Information, S. Korea","institution_ids":["https://openalex.org/I878022262"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081103879","display_name":"Myunggwon Hwang","orcid":"https://orcid.org/0000-0002-6251-6139"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]},{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myunggwon Hwang","raw_affiliation_strings":["University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology and Korea Institute of Science and Technology Information, S. Korea","institution_ids":["https://openalex.org/I878022262","https://openalex.org/I88761825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102784214","display_name":"Won-Kyung Sung","orcid":"https://orcid.org/0000-0002-0932-3178"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonkyung Sung","raw_affiliation_strings":["Korea Institute of Science and Technology Information, S. Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology Information, S. Korea","institution_ids":["https://openalex.org/I878022262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028471037"],"corresponding_institution_ids":["https://openalex.org/I878022262"],"apc_list":null,"apc_paid":null,"fwci":0.8007,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82385247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14484","display_name":"Technology and Data Analysis","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9442999958992004,"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/T11719","display_name":"Data Quality and Management","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.71034836769104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597511768341064},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5854215025901794},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5829796195030212},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5497952103614807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339058637619019},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46916040778160095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4525723159313202},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3263198733329773},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08910998702049255}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.71034836769104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597511768341064},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5854215025901794},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5829796195030212},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5497952103614807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339058637619019},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46916040778160095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4525723159313202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3263198733329773},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08910998702049255},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426020.3426051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2995592331"],"related_works":["https://openalex.org/W3201070945","https://openalex.org/W3099765033","https://openalex.org/W2792951589","https://openalex.org/W3198429154","https://openalex.org/W4308823300","https://openalex.org/W2113904186","https://openalex.org/W2293844262","https://openalex.org/W3214837056","https://openalex.org/W3035453001","https://openalex.org/W3105298093"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"is":[2],"a":[3,43,47,103],"widely":[4],"adopted":[5],"solution":[6],"to":[7,19,59,78],"complex":[8],"and":[9,17,36,72,92],"non-linear":[10],"problems,":[11],"but":[12],"it":[13],"takes":[14],"considerable":[15],"labor":[16],"time":[18],"develop":[20],"an":[21],"optimal":[22],"model":[23,34,68],"with":[24,69],"high":[25],"reliability.":[26],"The":[27],"costs":[28],"increase":[29],"even":[30,97],"more":[31],"as":[32,50,82],"the":[33,61,67,90,99],"deepens":[35],"training":[37,62,80],"data":[38,57,77],"grows.":[39],"This":[40],"paper":[41],"presents":[42],"method":[44,88],"in":[45,56,98],"which,":[46],"technique":[48],"known":[49],"dataset":[51],"distillation,":[52],"can":[53],"be":[54],"implemented":[55],"selection":[58],"reduce":[60],"time.":[63],"We":[64],"first":[65],"train":[66,76],"distilled":[70],"images,":[71],"then,":[73],"predict":[74],"original":[75],"measure":[79],"contribution":[81],"sampling":[83],"weight":[84],"of":[85,95,101],"selection.":[86],"Our":[87],"enables":[89],"fast":[91],"easy":[93],"calculation":[94],"weights":[96],"case":[100],"redesigning":[102],"network.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}