{"id":"https://openalex.org/W1941636933","doi":"https://doi.org/10.1109/cvpr.2015.7298877","title":"Becoming the expert - interactive multi-class machine teaching","display_name":"Becoming the expert - interactive multi-class machine teaching","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1941636933","doi":"https://doi.org/10.1109/cvpr.2015.7298877","mag":"1941636933"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080385974","display_name":"Edward Johns","orcid":"https://orcid.org/0000-0002-8914-8786"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edward Johns","raw_affiliation_strings":["University College London","University College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063600180","display_name":"Oisin Mac Aodha","orcid":"https://orcid.org/0000-0002-5787-5073"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oisin Mac Aodha","raw_affiliation_strings":["University College London","University College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038405331","display_name":"Gabriel Brostow","orcid":"https://orcid.org/0000-0001-8472-3828"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gabriel J. Brostow","raw_affiliation_strings":["University College London","University College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2616","last_page":"2624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987000226974487,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9919000267982483,"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":0.7553399801254272},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6848989129066467},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6723699569702148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5763212442398071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587897896766663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5045827627182007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553399801254272},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6848989129066467},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6723699569702148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5763212442398071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587897896766663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5045827627182007},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/63604","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/63604","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conference on Computer Vision and Pattern Recognition 2015","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4805436218","display_name":null,"funder_award_id":"EP/K015664/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8572443926","display_name":null,"funder_award_id":"EP/K015664/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320310231","display_name":"Pinngortitaleriffik","ror":"https://ror.org/0342y5q78"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W950880443","https://openalex.org/W1484084878","https://openalex.org/W1494773051","https://openalex.org/W1576445103","https://openalex.org/W1583136812","https://openalex.org/W1633675443","https://openalex.org/W1861492603","https://openalex.org/W1934250397","https://openalex.org/W1981219830","https://openalex.org/W1994757995","https://openalex.org/W1996471421","https://openalex.org/W2010135967","https://openalex.org/W2012990826","https://openalex.org/W2018189188","https://openalex.org/W2020764470","https://openalex.org/W2029327121","https://openalex.org/W2031489346","https://openalex.org/W2034747098","https://openalex.org/W2080211902","https://openalex.org/W2086618114","https://openalex.org/W2091759811","https://openalex.org/W2097430540","https://openalex.org/W2100046253","https://openalex.org/W2117539524","https://openalex.org/W2121949863","https://openalex.org/W2127816222","https://openalex.org/W2130827850","https://openalex.org/W2133247793","https://openalex.org/W2135294380","https://openalex.org/W2139823104","https://openalex.org/W2142544755","https://openalex.org/W2146938707","https://openalex.org/W2149273804","https://openalex.org/W2154455818","https://openalex.org/W2155893237","https://openalex.org/W2156338447","https://openalex.org/W2161969291","https://openalex.org/W2182055801","https://openalex.org/W2185898173","https://openalex.org/W2213241010","https://openalex.org/W2296073425","https://openalex.org/W2406420382","https://openalex.org/W2914331073","https://openalex.org/W2951122980","https://openalex.org/W3145281271","https://openalex.org/W4210880854","https://openalex.org/W4235488022","https://openalex.org/W4243272855","https://openalex.org/W4298132949","https://openalex.org/W6624823374","https://openalex.org/W6628826841","https://openalex.org/W6634343353","https://openalex.org/W6636827874","https://openalex.org/W6639102338","https://openalex.org/W6655688945","https://openalex.org/W6674833476","https://openalex.org/W6674919522","https://openalex.org/W6677651945","https://openalex.org/W6678193390","https://openalex.org/W6680434193","https://openalex.org/W6681212364","https://openalex.org/W6681710348","https://openalex.org/W6682171051","https://openalex.org/W6682494755","https://openalex.org/W6688387854"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Compared":[0],"to":[1,73,82,117,122,140],"machines,":[2],"humans":[3],"are":[4],"extremely":[5],"good":[6],"at":[7,21,61],"classifying":[8],"images":[9,36,50,56,132],"into":[10],"categories,":[11],"especially":[12],"when":[13],"they":[14,144],"possess":[15],"prior":[16,25],"knowledge":[17],"of":[18,34],"the":[19,32,141,155],"categories":[20,41],"hand.":[22],"If":[23],"this":[24,104],"information":[26],"is":[27,37,65,71],"not":[28,60],"available,":[29],"supervision":[30],"in":[31],"form":[33],"teaching":[35,69,135,150],"required.":[38],"To":[39],"learn":[40],"more":[42],"quickly,":[43],"people":[44],"should":[45,137],"see":[46],"important":[47,55,72],"and":[48,158,164,180],"representative":[49],"first,":[51],"followed":[52],"by":[53],"less":[54],"later":[57],"-":[58],"or":[59],"all.":[62],"However,":[63],"image-importance":[64,92],"individual-specific,":[66],"i.e.":[67],"a":[68,74,115,123,134,149],"image":[70],"student":[75,142],"if":[76],"it":[77,98],"changes":[78],"their":[79,95,162],"overall":[80],"ability":[81,157],"discriminate":[83],"between":[84],"classes.":[85],"Further,":[86],"students":[87],"keep":[88],"learning,":[89],"so":[90],"while":[91],"depends":[93],"on":[94,161],"current":[96],"knowledge,":[97],"also":[99],"varies":[100],"with":[101],"time.":[102],"In":[103],"work":[105],"we":[106],"propose":[107],"an":[108],"Interactive":[109],"Machine":[110],"Teaching":[111],"algorithm":[112,127],"that":[113,148,152],"enables":[114],"computer":[116],"teach":[118],"challenging":[119,181],"visual":[120],"concepts":[121],"human.":[124],"Our":[125],"adaptive":[126],"chooses,":[128],"online,":[129],"which":[130],"labeled":[131],"from":[133],"set":[136],"be":[138],"shown":[139],"as":[143],"learn.":[145],"We":[146,170],"show":[147],"strategy":[151],"probabilistically":[153],"models":[154],"student's":[156],"progress,":[159],"based":[160],"correct":[163],"incorrect":[165],"answers,":[166],"produces":[167],"better":[168],"`experts'.":[169],"present":[171],"results":[172],"using":[173],"real":[174],"human":[175],"participants":[176],"across":[177],"several":[178],"varied":[179],"real-world":[182],"datasets.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}