{"id":"https://openalex.org/W4380992649","doi":"https://doi.org/10.1109/access.2023.3286931","title":"Robust Contrastive Learning With Dynamic Mixed Margin","display_name":"Robust Contrastive Learning With Dynamic Mixed Margin","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380992649","doi":"https://doi.org/10.1109/access.2023.3286931"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3286931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286931","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10154052.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10154052.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032614836","display_name":"Junhyuk So","orcid":"https://orcid.org/0000-0002-9210-1284"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junhyuk So","raw_affiliation_strings":["Department of Computer Science and Engineering, Pohang University of Science and Technology, Nam-gu, Gyeongsangbuk-do, Pohang-si, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pohang University of Science and Technology, Nam-gu, Gyeongsangbuk-do, Pohang-si, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011214149","display_name":"Yongtaek Lim","orcid":"https://orcid.org/0000-0002-2056-8176"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongtaek Lim","raw_affiliation_strings":["Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2056-8176","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700697","display_name":"Yewon Kim","orcid":"https://orcid.org/0000-0003-1902-6262"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yewon Kim","raw_affiliation_strings":["Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1902-6262","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055143878","display_name":"Changdae Oh","orcid":"https://orcid.org/0000-0002-9247-8030"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changdae Oh","raw_affiliation_strings":["Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025711483","display_name":"Kyungwoo Song","orcid":"https://orcid.org/0000-0003-0082-4280"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungwoo Song","raw_affiliation_strings":["Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0082-4280","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, University of Seoul, Seoul, Dongdaemun-gu, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032614836"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1158,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38050606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"60211","last_page":"60222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9886000156402588,"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/overfitting","display_name":"Overfitting","score":0.7812360525131226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7715646028518677},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6267347931861877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139490008354187},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.585349977016449},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47155165672302246},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4667646586894989},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44365692138671875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650178015232086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3222684860229492},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1570066511631012}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7812360525131226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7715646028518677},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6267347931861877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139490008354187},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.585349977016449},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47155165672302246},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4667646586894989},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44365692138671875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650178015232086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3222684860229492},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1570066511631012},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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":2,"locations":[{"id":"doi:10.1109/access.2023.3286931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286931","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10154052.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4357aba084034e7cb54ac4d866d898aa","is_oa":true,"landing_page_url":"https://doaj.org/article/4357aba084034e7cb54ac4d866d898aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 60211-60222 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3286931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286931","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10154052.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G1078589601","display_name":null,"funder_award_id":"2021R1F1A1060117","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2110578321","display_name":null,"funder_award_id":"22183MFDS431","funder_id":"https://openalex.org/F4320322014","funder_display_name":"Ministry of Food and Drug Safety"},{"id":"https://openalex.org/G4692256975","display_name":null,"funder_award_id":"2021R1F1A1060117","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6481899425","display_name":null,"funder_award_id":"2021-0-02067","funder_id":"https://openalex.org/F4320321346","funder_display_name":"University of Seoul"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321346","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73"},{"id":"https://openalex.org/F4320322014","display_name":"Ministry of Food and Drug Safety","ror":"https://ror.org/01f7dp456"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380992649.pdf","grobid_xml":"https://content.openalex.org/works/W4380992649.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W68733909","https://openalex.org/W1527575280","https://openalex.org/W1686810756","https://openalex.org/W2096733369","https://openalex.org/W2140310134","https://openalex.org/W2157364932","https://openalex.org/W2194775991","https://openalex.org/W2395579298","https://openalex.org/W2556418146","https://openalex.org/W2604433096","https://openalex.org/W2606473278","https://openalex.org/W2765407302","https://openalex.org/W2774267535","https://openalex.org/W2807021761","https://openalex.org/W2842511635","https://openalex.org/W2885735575","https://openalex.org/W2894176037","https://openalex.org/W2897439619","https://openalex.org/W2950166131","https://openalex.org/W2952132648","https://openalex.org/W2962799512","https://openalex.org/W2962934715","https://openalex.org/W2963703197","https://openalex.org/W2963775347","https://openalex.org/W2963916161","https://openalex.org/W2964051877","https://openalex.org/W2964241990","https://openalex.org/W2984008963","https://openalex.org/W2985778816","https://openalex.org/W3091588028","https://openalex.org/W3096804376","https://openalex.org/W3100848837","https://openalex.org/W3115295967","https://openalex.org/W3152798676","https://openalex.org/W3174525637","https://openalex.org/W3176799298","https://openalex.org/W3190965961","https://openalex.org/W3199920350","https://openalex.org/W3206411915","https://openalex.org/W3207047134","https://openalex.org/W4224313808","https://openalex.org/W4226316887","https://openalex.org/W4237723258","https://openalex.org/W4281550812","https://openalex.org/W4283206275","https://openalex.org/W4286744073","https://openalex.org/W4287078453","https://openalex.org/W4289676341","https://openalex.org/W4295989843","https://openalex.org/W4297808394","https://openalex.org/W4299801216","https://openalex.org/W4312910992","https://openalex.org/W6631516269","https://openalex.org/W6637373629","https://openalex.org/W6680145277","https://openalex.org/W6680830989","https://openalex.org/W6685183736","https://openalex.org/W6730323794","https://openalex.org/W6747225742","https://openalex.org/W6753544890","https://openalex.org/W6758854760","https://openalex.org/W6760184523","https://openalex.org/W6778102432","https://openalex.org/W6783961830","https://openalex.org/W6784702030","https://openalex.org/W6784761581","https://openalex.org/W6787655056","https://openalex.org/W6789753369","https://openalex.org/W6791353385","https://openalex.org/W6793759846","https://openalex.org/W6797148833","https://openalex.org/W6798805250","https://openalex.org/W6798918437","https://openalex.org/W6799838802","https://openalex.org/W6801533831","https://openalex.org/W6802524853","https://openalex.org/W6802939038","https://openalex.org/W6810910867","https://openalex.org/W6838966231","https://openalex.org/W6840402484","https://openalex.org/W6843182517"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W2997457842","https://openalex.org/W1997431798"],"abstract_inverted_index":{"One":[0],"of":[1,52,194],"the":[2,6,27,44,50,62,74,91,98,102,151,182,190],"promising":[3],"ways":[4],"for":[5,115,125],"representation":[7,109,173],"learning":[8,25,39,143],"is":[9,135,153,199],"contrastive":[10,38,142],"learning.":[11,110,147],"It":[12],"enforces":[13],"that":[14,72,79,150,186],"positive":[15,33,116,128],"pairs":[16,21,48,56,78,88,117,129],"become":[17,22],"close":[18,114],"while":[19],"negative":[20,35],"far.":[23],"Contrastive":[24],"utilizes":[26],"relative":[28],"proximity":[29],"or":[30],"distance":[31],"between":[32],"and":[34,105,145,163,169],"pairs.":[36],"However,":[37],"might":[40],"fail":[41],"to":[42,58,155],"handle":[43],"easily":[45,53,82],"distinguished":[46],"positive-negative":[47,55,77,87],"because":[49],"gradient":[51],"divided":[54],"comes":[57],"vanish.":[59],"To":[60],"overcome":[61],"problem,":[63],"we":[64],"propose":[65],"a":[66,122,136],"dynamic":[67,99,106],"mixed":[68],"margin":[69,100],"(DMM)":[70],"loss":[71,144],"generates":[73,85],"augmented":[75],"hard":[76,86],"are":[80],"not":[81],"clarified.":[83],"DMM":[84,96,111,134,152,176,195],"by":[89],"interpolating":[90],"dataset":[92],"with":[93,140],"Mixup.":[94],"Besides,":[95,172],"adopts":[97],"incorporating":[101],"interpolation":[103],"ratio,":[104],"adaptation":[107],"improves":[108],"encourages":[112],"making":[113,121],"far":[118,124],"away,":[119],"whereas":[120],"little":[123],"strongly":[126],"nearby":[127],"alleviates":[130],"overfitting.":[131],"Our":[132],"proposed":[133],"plug-and-play":[137],"module":[138],"compatible":[139],"diverse":[141],"metric":[146],"We":[148],"validate":[149],"superior":[154],"other":[156],"baselines":[157],"on":[158,189],"various":[159],"tasks,":[160],"video-text":[161],"retrieval,":[162],"recommender":[164],"system":[165],"task":[166],"in":[167],"unimodal":[168],"multimodal":[170],"settings.":[171],"learned":[174],"from":[175],"shows":[177],"better":[178],"robustness":[179],"even":[180],"if":[181],"modality":[183],"missing":[184],"occurs":[185],"frequently":[187],"appears":[188],"real-world":[191],"dataset.":[192],"Implementation":[193],"at":[196],"downstream":[197],"tasks":[198],"available":[200],"here:":[201],"<uri":[202],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[203],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/teang1995/DMM</uri>":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
