{"id":"https://openalex.org/W3163825800","doi":"https://doi.org/10.1109/icassp39728.2021.9414664","title":"Multi-View Contrastive Learning for Online Knowledge Distillation","display_name":"Multi-View Contrastive Learning for Online Knowledge Distillation","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163825800","doi":"https://doi.org/10.1109/icassp39728.2021.9414664","mag":"3163825800"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5046293929","display_name":"Chuanguang Yang","orcid":"https://orcid.org/0000-0001-5890-289X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanguang Yang","raw_affiliation_strings":["Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055016576","display_name":"Zhulin An","orcid":"https://orcid.org/0000-0002-7593-8293"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin An","raw_affiliation_strings":["Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","Xiamen Data Intelligence Academy of ICT, CAS, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Xiamen Data Intelligence Academy of ICT, CAS, Xiamen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","Xiamen Data Intelligence Academy of ICT, CAS, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Xiamen Data Intelligence Academy of ICT, CAS, Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046293929"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.0395,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88888889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958000183105469,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8236925601959229},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7664952874183655},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7021414637565613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429110169410706},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6003366112709045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5945220589637756},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.576829731464386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5763526558876038},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44788405299186707},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42396941781044006},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4123868942260742},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32034626603126526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08153057098388672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8236925601959229},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7664952874183655},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7021414637565613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429110169410706},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6003366112709045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5945220589637756},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.576829731464386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5763526558876038},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44788405299186707},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42396941781044006},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4123868942260742},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32034626603126526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08153057098388672},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W2103104224","https://openalex.org/W2108598243","https://openalex.org/W2152790380","https://openalex.org/W2194775991","https://openalex.org/W2601450892","https://openalex.org/W2620998106","https://openalex.org/W2798991696","https://openalex.org/W2806183416","https://openalex.org/W2807912816","https://openalex.org/W2887997457","https://openalex.org/W2948012107","https://openalex.org/W2962835968","https://openalex.org/W2963140444","https://openalex.org/W2963341924","https://openalex.org/W2963373431","https://openalex.org/W2963446712","https://openalex.org/W2964220233","https://openalex.org/W2971155163","https://openalex.org/W2972728603","https://openalex.org/W2981708954","https://openalex.org/W2991145155","https://openalex.org/W2996970889","https://openalex.org/W2997471409","https://openalex.org/W3005680577","https://openalex.org/W3034978746","https://openalex.org/W3090175237","https://openalex.org/W3091200884","https://openalex.org/W3108655343","https://openalex.org/W3118608800","https://openalex.org/W3161108526","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6682948231","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6752523896","https://openalex.org/W6754278344","https://openalex.org/W6763416564","https://openalex.org/W6763442200","https://openalex.org/W6770740607","https://openalex.org/W6774314701","https://openalex.org/W6783695792","https://openalex.org/W6784265765","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Previous":[0],"Online":[1],"Knowledge":[2],"Distillation":[3],"(OKD)":[4],"often":[5],"carries":[6],"out":[7],"mutually":[8],"exchanging":[9],"probability":[10],"distributions,":[11],"but":[12],"neglects":[13],"the":[14,45],"useful":[15],"representational":[16],"knowledge.":[17],"We":[18],"there-fore":[19],"propose":[20],"Multi-view":[21],"Contrastive":[22],"Learning":[23],"(MCL)":[24],"for":[25,43,60],"OKD":[26,64,78],"to":[27],"implicitly":[28],"capture":[29],"correlations":[30],"of":[31],"feature":[32],"embeddings":[33],"encoded":[34],"by":[35,80],"multiple":[36],"peer":[37],"networks,":[38],"which":[39],"provide":[40],"various":[41],"views":[42],"understanding":[44],"input":[46],"data":[47],"instances.":[48],"Benefiting":[49],"from":[50],"MCL,":[51],"we":[52],"can":[53],"learn":[54],"a":[55],"more":[56],"discriminative":[57],"representation":[58],"space":[59],"classification":[61,70],"than":[62],"previous":[63],"methods.":[65],"Experimental":[66],"results":[67],"on":[68],"image":[69],"demonstrate":[71],"that":[72],"our":[73],"MCL-OKD":[74],"outperforms":[75],"other":[76],"state-of-the-art":[77],"methods":[79],"large":[81],"margins":[82],"without":[83],"sacrificing":[84],"additional":[85],"inference":[86],"cost.":[87],"Codes":[88],"are":[89],"available":[90],"at":[91],"https://github.com/winycg/MCL-OKD.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
