{"id":"https://openalex.org/W4385768260","doi":"https://doi.org/10.24963/ijcai.2023/150","title":"Teaching What You Should Teach: A Data-Based Distillation Method","display_name":"Teaching What You Should Teach: A Data-Based Distillation Method","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768260","doi":"https://doi.org/10.24963/ijcai.2023/150"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/150","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/150","pdf_url":"https://www.ijcai.org/proceedings/2023/0150.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0150.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073038991","display_name":"Shitong Shao","orcid":"https://orcid.org/0000-0003-4689-6140"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shitong Shao","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074300516","display_name":"Huanran Chen","orcid":"https://orcid.org/0000-0003-0847-9485"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanran Chen","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011008665","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0003-4819-373X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["Univeristy of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Univeristy of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016980380","display_name":"Linrui Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linrui Gong","raw_affiliation_strings":["Hunan University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Hunan University, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328245","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-8897-9476"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011070646","display_name":"Xinxiao Wu","orcid":"https://orcid.org/0000-0002-2056-6947"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxiao Wu","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073038991"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.1185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40086904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1351","last_page":"1359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9970999956130981,"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/distillation","display_name":"Distillation","score":0.826961100101471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750365734100342},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6978214979171753},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.6155797243118286},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6011568903923035},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5742142796516418},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5710168480873108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513998866081238},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5190775394439697},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5055842399597168},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47694697976112366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09061700105667114}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.826961100101471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750365734100342},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6978214979171753},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.6155797243118286},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6011568903923035},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5742142796516418},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5710168480873108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513998866081238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5190775394439697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5055842399597168},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47694697976112366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09061700105667114},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/150","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/150","pdf_url":"https://www.ijcai.org/proceedings/2023/0150.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/150","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/150","pdf_url":"https://www.ijcai.org/proceedings/2023/0150.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"},{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G816247876","display_name":null,"funder_award_id":"62072041","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768260.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2340897893","https://openalex.org/W2560023338","https://openalex.org/W2561238782","https://openalex.org/W2805003733","https://openalex.org/W2896457183","https://openalex.org/W2931364255","https://openalex.org/W2936864631","https://openalex.org/W2949736877","https://openalex.org/W2952787292","https://openalex.org/W2963140444","https://openalex.org/W2963857521","https://openalex.org/W2964110616","https://openalex.org/W2964137095","https://openalex.org/W2982157312","https://openalex.org/W2982242214","https://openalex.org/W2986015886","https://openalex.org/W2995607862","https://openalex.org/W3009705522","https://openalex.org/W3034870355","https://openalex.org/W3034885317","https://openalex.org/W3034957837","https://openalex.org/W3035682985","https://openalex.org/W3105676814","https://openalex.org/W3118608800","https://openalex.org/W3121634539","https://openalex.org/W3124819632","https://openalex.org/W3138516171","https://openalex.org/W3159683145","https://openalex.org/W3173270634","https://openalex.org/W3177196641","https://openalex.org/W3210296019","https://openalex.org/W4214524539","https://openalex.org/W4226426325","https://openalex.org/W4281483168","https://openalex.org/W4283816018","https://openalex.org/W4288325606","https://openalex.org/W4293846201","https://openalex.org/W4298857966","https://openalex.org/W4312439170","https://openalex.org/W4313141028","https://openalex.org/W4313156423","https://openalex.org/W4321353526"],"related_works":["https://openalex.org/W4295769391","https://openalex.org/W2972220648","https://openalex.org/W2332667808","https://openalex.org/W1997921863","https://openalex.org/W3112960490","https://openalex.org/W2068608913","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W93605524","https://openalex.org/W1974056099"],"abstract_inverted_index":{"In":[0],"real":[1],"teaching":[2],"scenarios,":[3],"an":[4],"excellent":[5,135],"teacher":[6],"always":[7],"teaches":[8],"what":[9,49,98,186],"he":[10],"(or":[11,33],"she)":[12],"is":[13,19,132],"good":[14,39],"at":[15],"but":[16,103],"the":[17,23,25,47,100,104,119,124,140,160,193],"student":[18,24,130],"not.":[20],"This":[21],"gives":[22],"best":[26],"assistance":[27],"in":[28,75],"making":[29],"up":[30],"for":[31,69,192],"his":[32],"her)":[34],"weaknesses":[35],"and":[36,59,79,110,123,154,164,188],"becoming":[37],"a":[38,55,61,86,129],"one":[40],"overall.":[41],"Enlightened":[42],"by":[43,107],"this,":[44],"we":[45,84,145,180],"introduce":[46],"\"Teaching":[48],"you":[50],"Should":[51],"Teach\"":[52],"strategy":[53],"into":[54],"knowledge":[56],"distillation":[57,63,126,194],"framework,":[58],"propose":[60],"data-based":[62],"method":[64,170],"named":[65],"\"TST\"":[66],"that":[67,168],"searches":[68],"desirable":[70],"augmented":[71],"samples":[72],"to":[73,95,112,184],"assist":[74],"distilling":[76],"more":[77],"efficiently":[78],"rationally.":[80],"To":[81,138],"be":[82],"specific,":[83],"design":[85],"neural":[87],"network-based":[88],"data":[89,115,120],"augmentation":[90,121],"module":[91,122],"with":[92,134],"priori":[93],"bias":[94],"find":[96],"out":[97],"meets":[99],"teacher's":[101],"strengths":[102],"student's":[105],"weaknesses,":[106],"learning":[108],"magnitudes":[109,187],"probabilities":[111,189],"generate":[113],"suitable":[114],"samples.":[116],"By":[117],"training":[118],"generalized":[125],"paradigm":[127],"alternately,":[128],"model":[131],"learned":[133],"generalization":[136],"ability.":[137],"verify":[139],"effectiveness":[141],"of":[142],"our":[143,169],"method,":[144],"conducted":[146],"extensive":[147],"comparative":[148],"experiments":[149],"on":[150,159,174],"object":[151],"recognition,":[152],"detection,":[153],"segmentation":[155],"tasks.":[156],"The":[157],"results":[158],"CIFAR-100,":[161],"ImageNet-1k,":[162],"MS-COCO,":[163],"Cityscapes":[165],"datasets":[166],"demonstrate":[167],"achieves":[171],"state-of-the-art":[172],"performance":[173],"almost":[175],"all":[176],"teacher-student":[177],"pairs.":[178],"Furthermore,":[179],"conduct":[181],"visualization":[182],"studies":[183],"explore":[185],"are":[190],"needed":[191],"process.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}