{"id":"https://openalex.org/W4206455827","doi":"https://doi.org/10.1109/tkde.2021.3132622","title":"Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling","display_name":"Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4206455827","doi":"https://doi.org/10.1109/tkde.2021.3132622"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3132622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3132622","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5100397623","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5245-3584"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655948","display_name":"Da-Wei Zhou","orcid":"https://orcid.org/0000-0001-7226-7773"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da-Wei Zhou","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073912249","display_name":"De\u2010Chuan Zhan","orcid":"https://orcid.org/0000-0002-3533-2078"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Chuan Zhan","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Management Science and Information Systems Department, Rutgers Business School, Rutgers University, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Management Science and Information Systems Department, Rutgers Business School, Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013466530","display_name":"Yuan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100397623"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199","https://openalex.org/I76569877","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":3.0791,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92915836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"4","first_page":"3575","last_page":"3588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.7696232795715332},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47511205077171326},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4452977180480957},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4427463710308075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41744381189346313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4043305814266205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22737064957618713},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11722591519355774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11219564080238342},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0988137423992157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696232795715332},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47511205077171326},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4452977180480957},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4427463710308075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41744381189346313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4043305814266205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22737064957618713},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11722591519355774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11219564080238342},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0988137423992157},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3132622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3132622","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5072222428","display_name":null,"funder_award_id":"61773198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5547653852","display_name":null,"funder_award_id":"62006118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G707641308","display_name":null,"funder_award_id":"61906092","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1549658602","https://openalex.org/W1553262910","https://openalex.org/W1844261860","https://openalex.org/W1933173902","https://openalex.org/W1949248870","https://openalex.org/W1968980002","https://openalex.org/W1970789124","https://openalex.org/W1979631293","https://openalex.org/W2012878613","https://openalex.org/W2021732807","https://openalex.org/W2025440555","https://openalex.org/W2036963181","https://openalex.org/W2042932437","https://openalex.org/W2056277442","https://openalex.org/W2080021732","https://openalex.org/W2080909422","https://openalex.org/W2099419573","https://openalex.org/W2112796928","https://openalex.org/W2122838776","https://openalex.org/W2133088989","https://openalex.org/W2143991132","https://openalex.org/W2160512933","https://openalex.org/W2165265778","https://openalex.org/W2194775991","https://openalex.org/W2210740898","https://openalex.org/W2401932923","https://openalex.org/W2531502304","https://openalex.org/W2560647685","https://openalex.org/W2584467376","https://openalex.org/W2602516395","https://openalex.org/W2743151379","https://openalex.org/W2743316574","https://openalex.org/W2743969099","https://openalex.org/W2744654301","https://openalex.org/W2772976938","https://openalex.org/W2786446225","https://openalex.org/W2808958151","https://openalex.org/W2809162153","https://openalex.org/W2899770378","https://openalex.org/W2949071326","https://openalex.org/W2951911250","https://openalex.org/W2962774976","https://openalex.org/W2963540014","https://openalex.org/W2963628712","https://openalex.org/W2963739929","https://openalex.org/W2963978428","https://openalex.org/W3003316882","https://openalex.org/W3026763995","https://openalex.org/W3098511564","https://openalex.org/W3118608800","https://openalex.org/W3131350578","https://openalex.org/W3159243351","https://openalex.org/W6600983433","https://openalex.org/W6639024717","https://openalex.org/W6639055646","https://openalex.org/W6639866694","https://openalex.org/W6684215405","https://openalex.org/W6684408796","https://openalex.org/W6685444988","https://openalex.org/W6728520659","https://openalex.org/W6732230627","https://openalex.org/W6732510986","https://openalex.org/W6732735668","https://openalex.org/W6736334413","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W3125889879","https://openalex.org/W3124422538","https://openalex.org/W2295467472","https://openalex.org/W3046451053","https://openalex.org/W2097909533","https://openalex.org/W3125188128","https://openalex.org/W2144398666"],"abstract_inverted_index":{"Most":[0],"existing":[1],"approaches":[2],"often":[3],"utilize":[4],"the":[5,64,72,109,117,132,144,198,206,210,216,242,252,276,298,302,310,329,339,348,370],"pre-fixed":[6],"structure":[7,75,134,264],"and":[8,84,139,227,293,318,365],"large":[9,170],"number":[10,196],"of":[11,30,172,197,209],"labeled":[12,173,304],"data":[13,33,58,79,96,138,225,317,364],"for":[14,44,80,115,248,271],"training":[15,57],"complex":[16],"deep":[17,47,73,127,165,235,262],"models,":[18],"which":[19,130,238,335],"are":[20],"difficult":[21],"to":[22,70,107,136,180,192,202,231,250,296],"implement":[23],"on":[24,215,275,362],"incremental":[25,46,126,234],"scenarios.":[26],"As":[27],"a":[28,68,164,169,194,232,259,282,355,374],"matter":[29],"fact,":[31],"real-world":[32,363],"is":[34,59,67,105,177,191],"always":[35,167],"in":[36,99,185,224,341,354],"stream":[37],"form.":[38],"Thereby,":[39,212],"there":[40],"exits":[41],"two":[42],"challenges":[43,351],"building":[45],"models:":[48],"a)":[49],"<italic":[50,88,158],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51,89,159],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Capacity":[52,90,160],"Scalability</i>":[53],".":[54,92,162],"The":[55,93,188],"entire":[56],"not":[60],"available":[61],"before":[62],"learning":[63,219],"task.":[65],"It":[66],"challenge":[69,153],"make":[71],"model":[74,82,110,128,166,236,270,311],"scale":[76],"with":[77,143,154,221,312,347,373],"streaming":[78,95,137,155,316],"flexible":[81],"evolution":[83],"faster":[85],"convergence.":[86],"b)":[87],"Sustainability</i>":[91],"distribution":[94],"usually":[97],"changes":[98,223],"nature":[100],"(concept":[101],"drift),":[102],"thus":[103],"it":[104,176],"necessary":[106],"update":[108,309],"while":[111,204],"preserving":[112],"previous":[113],"knowledge":[114],"overcoming":[116],"catastrophic":[118],"forgetting.":[119],"To":[120],"this":[121],"end,":[122],"we":[123,213,323],"develop":[124],"an":[125,267],"(IDM),":[129],"expands":[131],"network":[133,263],"according":[135],"slows":[140],"down":[141,338],"forgetting":[142,340],"adaptive":[145,277,313],"fisher":[146,332],"regularization.":[147],"However,":[148],"IDM":[149,230],"ignores":[150],"another":[151],"significant":[152],"data:":[156],"c)":[157],"Demand</i>":[161],"Training":[163],"needs":[168],"amount":[171],"data,":[174],"whereas":[175],"almost":[178],"impossible":[179],"label":[181,203],"all":[182],"unlabeled":[183,290],"instances":[184,201,247],"real":[186],"time.":[187],"core":[189],"problem":[190],"select":[193,241],"small":[195],"most":[199,243],"discriminative":[200,244],"keeping":[205],"predictive":[207],"accuracy":[208],"model.":[211],"focus":[214],"online":[217],"semi-supervised":[218],"scenario":[220],"abrupt":[222],"distribution,":[226],"further":[228],"improve":[229],"cost-effective":[233],"(CE-IDM),":[237],"can":[239,307,336,345],"adaptively":[240],"newly":[245,303],"coming":[246],"query":[249],"reduce":[251],"manual":[253],"labeling":[254],"costs.":[255],"Specifically,":[256],"CE-IDM":[257,280,306,344,368],"adopts":[258],"novel":[260,283],"extensible":[261],"by":[265,287,327],"using":[266],"extra":[268],"attention":[269,278,330],"hidden":[272],"layers.":[273],"Based":[274],"weights,":[279],"develops":[281],"instance":[284],"selection":[285],"criterion":[286],"jointly":[288],"estimating":[289],"instances\u2019":[291],"representative":[292],"informative":[294],"degree":[295],"satisfy":[297],"capacity":[299,320,325,350],"demand.":[300],"With":[301],"instances,":[305],"quickly":[308],"depth":[314],"from":[315],"enable":[319],"scalability.":[321],"Also,":[322],"address":[324],"sustainability":[326],"exploiting":[328],"based":[331],"information":[333],"matrix,":[334],"slow":[337],"consequence.":[342],"Finally,":[343],"deal":[346],"three":[349],"methioned":[352],"above":[353],"unified":[356],"framework.":[357],"We":[358],"conduct":[359],"extensive":[360],"experiments":[361],"show":[366],"that":[367],"outperforms":[369],"state-of-the-art":[371],"methods":[372],"substantial":[375],"margin.":[376]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}