{"id":"https://openalex.org/W4221153247","doi":"https://doi.org/10.1109/tmm.2022.3158066","title":"Learning to Minimize the Remainder in Supervised Learning","display_name":"Learning to Minimize the Remainder in Supervised Learning","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4221153247","doi":"https://doi.org/10.1109/tmm.2022.3158066"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3158066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3158066","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","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/A5055879357","display_name":"Yan Luo","orcid":"https://orcid.org/0000-0001-5135-0316"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Luo","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":"https://orcid.org/0000-0001-5135-0316","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020006712","display_name":"Yongkang Wong","orcid":"https://orcid.org/0000-0002-1239-4428"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongkang Wong","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-1239-4428","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan S. Kankanhalli","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4846-2015","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047419128","display_name":"Qi Zhao","orcid":"https://orcid.org/0000-0003-3054-8934"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":"https://orcid.org/0000-0003-3054-8934","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055879357"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.102,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.35353222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"1738","last_page":"1748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9993000030517578,"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":0.7971396446228027},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7422086596488953},{"id":"https://openalex.org/keywords/remainder","display_name":"Remainder","score":0.6879609227180481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6644303798675537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5955030918121338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12286162376403809},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09438765048980713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971396446228027},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7422086596488953},{"id":"https://openalex.org/C39613435","wikidata":"https://www.wikidata.org/wiki/Q846677","display_name":"Remainder","level":2,"score":0.6879609227180481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6644303798675537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5955030918121338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12286162376403809},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09438765048980713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3158066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3158066","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W143062967","https://openalex.org/W639708223","https://openalex.org/W1498436455","https://openalex.org/W1512638263","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1923211482","https://openalex.org/W1945616565","https://openalex.org/W1951319388","https://openalex.org/W1996337501","https://openalex.org/W2023320048","https://openalex.org/W2029469881","https://openalex.org/W2057137426","https://openalex.org/W2060162348","https://openalex.org/W2066606526","https://openalex.org/W2078039548","https://openalex.org/W2105174364","https://openalex.org/W2108598243","https://openalex.org/W2149298154","https://openalex.org/W2194775991","https://openalex.org/W2270245739","https://openalex.org/W2325107381","https://openalex.org/W2540093921","https://openalex.org/W2546420264","https://openalex.org/W2592651140","https://openalex.org/W2618530766","https://openalex.org/W2624086852","https://openalex.org/W2734314755","https://openalex.org/W2772143815","https://openalex.org/W2883618893","https://openalex.org/W2908510526","https://openalex.org/W2921940552","https://openalex.org/W2951841718","https://openalex.org/W2955425717","https://openalex.org/W2963150697","https://openalex.org/W2963202546","https://openalex.org/W2963433607","https://openalex.org/W2963775850","https://openalex.org/W2964153283","https://openalex.org/W2965726917","https://openalex.org/W2968917279","https://openalex.org/W2976818183","https://openalex.org/W2994762555","https://openalex.org/W3004980423","https://openalex.org/W3025689158","https://openalex.org/W3030520226","https://openalex.org/W3099884890","https://openalex.org/W3100197791","https://openalex.org/W3102661353","https://openalex.org/W3107036639","https://openalex.org/W3118608800","https://openalex.org/W3120740533","https://openalex.org/W3141595720","https://openalex.org/W3145444543","https://openalex.org/W3157506437","https://openalex.org/W4235651108","https://openalex.org/W4237284205","https://openalex.org/W4248108773","https://openalex.org/W4250589301","https://openalex.org/W4287646898","https://openalex.org/W4295883599","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6640425456","https://openalex.org/W6693919493","https://openalex.org/W6717367658","https://openalex.org/W6734280532","https://openalex.org/W6739653404","https://openalex.org/W6744060662","https://openalex.org/W6751983209","https://openalex.org/W6757817989","https://openalex.org/W6762718338","https://openalex.org/W6766196973","https://openalex.org/W6767164110","https://openalex.org/W6778485988","https://openalex.org/W6783600611","https://openalex.org/W6784591795","https://openalex.org/W6787972765","https://openalex.org/W6788247690","https://openalex.org/W6793164127","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"The":[0,28,137,174,197],"learning":[1,5,40,45,96,105,110,152],"process":[2,41],"of":[3,24,32,75,193],"deep":[4],"methods":[6],"usually":[7,36],"updates":[8],"the":[9,21,39,73,86,95,114,118,128,133,150,178,183,187,194],"model\u2019s":[10],"parameters":[11],"in":[12,38],"multiple":[13],"iterations.":[14],"Each":[15],"iteration":[16],"can":[17],"be":[18],"viewed":[19],"as":[20,52],"first-order":[22],"approximation":[23],"Taylor\u2019s":[25],"series":[26],"expansion.":[27],"remainder,":[29],"which":[30],"consists":[31],"higher-order":[33],"terms,":[34],"is":[35,88,140,145,155,199],"ignored":[37],"for":[42],"simplicity.":[43],"This":[44],"scheme":[46],"empowers":[47],"various":[48,191],"multimedia-based":[49],"applications,":[50],"such":[51,126],"image":[53,163],"retrieval,":[54],"recommendation":[55],"system,":[56],"and":[57,70,90,132,142,144,167,172],"video":[58],"search.":[59],"Generally,":[60],"multimedia":[61],"data":[62],"(":[63],"<italic":[64,160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[65,161,203],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e.g.</i>":[66],"images)":[67],"are":[68,77,130,135],"semantics-rich":[69],"high-dimensional,":[71],"hence":[72],"remainders":[74,129],"approximations":[76,134],"possibly":[78],"non-zero.":[79],"In":[80],"this":[81,99],"work,":[82],"we":[83,101],"consider":[84],"that":[85,127,177],"remainder":[87],"informative":[89],"study":[91],"how":[92],"it":[93],"affects":[94],"process.":[97],"To":[98],"end,":[100],"propose":[102],"a":[103],"new":[104],"approach,":[106],"namely":[107],"gradient":[108],"adjustment":[109],"(GAL),":[111],"to":[112,122,147,149],"leverage":[113],"knowledge":[115],"learned":[116],"from":[117],"past":[119],"training":[120],"iterations":[121],"adjust":[123],"vanilla":[124],"gradients,":[125],"minimized":[131],"improved.":[136],"proposed":[138,179,195],"GAL":[139,180],"model-":[141],"optimizer-agnostic,":[143],"easy":[146],"adapt":[148],"standard":[151],"framework.":[153],"It":[154],"evaluated":[156,184],"on":[157],"three":[158],"tasks,":[159],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>":[162],"classification,":[164],"object":[165],"detection,":[166],"regression,":[168],"with":[169],"state-of-the-art":[170],"models":[171],"optimizers.":[173],"experiments":[175],"show":[176],"consistently":[181],"enhances":[182],"models,":[185],"whereas":[186],"ablation":[188],"studies":[189],"validate":[190],"aspects":[192],"GAL.":[196],"code":[198],"available":[200],"at":[201],"<uri":[202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/luoyan407/gradient_adjustment.git</uri>":[204],".":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
