{"id":"https://openalex.org/W4389374672","doi":"https://doi.org/10.1145/3628797.3629002","title":"Improving Single Positive Multi-label Classification via Knowledge-based Label-weighted Large Loss Rejection","display_name":"Improving Single Positive Multi-label Classification via Knowledge-based Label-weighted Large Loss Rejection","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389374672","doi":"https://doi.org/10.1145/3628797.3629002"},"language":"en","primary_location":{"id":"doi:10.1145/3628797.3629002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3629002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Information and Communication Technology","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/A5103029967","display_name":"Duc Nguyen Quang","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Duc Nguyen Quang","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111087429","display_name":"Luong Tran Khanh","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Luong Tran Khanh","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034624229","display_name":"Duc Le Hong","orcid":"https://orcid.org/0009-0007-6921-9325"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc Le Hong","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093429080","display_name":"Hoan Nguyen Huy","orcid":"https://orcid.org/0009-0000-5480-6403"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoan Nguyen Huy","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107944319","display_name":"Phuc Trinh Anh","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuc Trinh Anh","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sang Dinh Viet","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Sang Dinh Viet","raw_affiliation_strings":["Hanoi University of Science and Technology, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Viet Nam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103029967"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16604021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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":0.9932000041007996,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.7314691543579102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096854448318481},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5965967774391174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5926935076713562},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5832534432411194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612502694129944},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5057759284973145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41698071360588074}],"concepts":[{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.7314691543579102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096854448318481},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5965967774391174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5926935076713562},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5832534432411194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612502694129944},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5057759284973145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41698071360588074},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3628797.3629002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628797.3629002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Information and Communication Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2007972815","https://openalex.org/W2019899889","https://openalex.org/W2031489346","https://openalex.org/W2143890915","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2896294294","https://openalex.org/W2969792713","https://openalex.org/W3165691894","https://openalex.org/W3168547821","https://openalex.org/W4283313485","https://openalex.org/W4312535972","https://openalex.org/W4312648273","https://openalex.org/W4386113239"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W4281776617"],"abstract_inverted_index":{"It":[0],"is":[1,19,31,128],"undeniable":[2],"that":[3,74],"high-quality":[4],"data":[5],"plays":[6],"a":[7,17,27,94,156],"crucial":[8],"role":[9],"in":[10,23,33],"achieving":[11],"good":[12],"outcomes.":[13],"However,":[14],"obtaining":[15],"such":[16],"dataset":[18,30],"always":[20],"challenging,":[21],"particularly":[22],"multi-label":[24,51,56],"classification,":[25],"where":[26],"fully":[28],"labeled":[29],"required":[32],"traditional":[34],"approaches.":[35],"This":[36,127],"challenge":[37],"has":[38],"led":[39],"to":[40,104,111,143,154,185],"the":[41,76,99,105,112,131,145,152,169,178,187],"emergence":[42],"of":[43,101,133,148,159,181],"several":[44,174],"effective":[45,72],"learning":[46,52],"techniques":[47],"called":[48],"single":[49,63],"positive":[50,64,114,149,160],"(SPML),":[53],"which":[54],"utilize":[55],"training":[57],"images":[58],"annotated":[59],"with":[60],"only":[61],"one":[62],"label.":[65],"In":[66],"our":[67,182],"work,":[68],"we":[69,92,138],"propose":[70],"an":[71,140],"method":[73,183],"improves":[75],"cutting-edge":[77],"BoostLU":[78],"baseline":[79,188],"by":[80,122],"leveraging":[81],"efficient":[82],"label-weighted":[83],"loss":[84,142],"and":[85,189],"prior":[86,166],"knowledge":[87,167],"based":[88,164],"regularization":[89],"strategies.":[90],"Firstly,":[91],"present":[93],"novel":[95],"approach":[96],"for":[97],"reweighting":[98],"contribution":[100],"each":[102],"label":[103,115],"total":[106],"loss,":[107],"giving":[108],"higher":[109],"weight":[110],"true":[113],"while":[116],"eliminating":[117],"unreliable":[118],"pseudo":[119],"negative":[120],"labels":[121,161],"assigning":[123],"them":[124],"zero":[125],"weight.":[126],"achieved":[129],"through":[130],"exploration":[132],"large":[134],"per-label":[135],"losses.":[136],"Additionally,":[137],"introduce":[139],"auxiliary":[141],"regulate":[144],"expected":[146],"value":[147],"labels,":[150],"encouraging":[151],"model":[153],"predict":[155],"reasonable":[157],"number":[158],"per":[162],"image":[163],"on":[165],"about":[168],"dataset.":[170],"Experimental":[171],"results":[172],"across":[173],"benchmark":[175],"datasets":[176],"showcase":[177],"superior":[179],"performance":[180],"compared":[184],"both":[186],"other":[190],"state-of-the-art":[191],"methods.":[192]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
