{"id":"https://openalex.org/W4372349553","doi":"https://doi.org/10.1109/icassp49357.2023.10095856","title":"Supercm: Revisiting Clustering for Semi-Supervised Learning","display_name":"Supercm: Revisiting Clustering for Semi-Supervised Learning","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372349553","doi":"https://doi.org/10.1109/icassp49357.2023.10095856"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095856","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.23824","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103172543","display_name":"Durgesh Singh","orcid":"https://orcid.org/0000-0002-5697-4627"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Durgesh Singh","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058501833","display_name":"Ahc\u00e8ne Boubekki","orcid":"https://orcid.org/0000-0003-1606-1513"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ahc\u00e8ne Boubekki","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013414039","display_name":"Robert Jenssen","orcid":"https://orcid.org/0000-0002-7496-8474"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Robert Jenssen","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023225712","display_name":"Michael Kampffmeyer","orcid":"https://orcid.org/0000-0002-7699-0405"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Michael C. Kampffmeyer","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Physics and Technology,Tromsø","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103172543"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6308958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"48","issue":null,"first_page":"1","last_page":"5"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9926000237464905,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.7661229372024536},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7540422677993774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253395676612854},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6236898303031921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5729243755340576},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5330936312675476},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5232685804367065},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.505275547504425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4503074586391449},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4100252389907837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242734670639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661229372024536},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7540422677993774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253395676612854},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6236898303031921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5729243755340576},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5330936312675476},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5232685804367065},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.505275547504425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4503074586391449},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4100252389907837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242734670639038},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095856","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.23824","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.23824","pdf_url":"https://arxiv.org/pdf/2506.23824","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:munin.uit.no:10037/32960","is_oa":true,"landing_page_url":"https://hdl.handle.net/10037/32960","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.23824","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.23824","pdf_url":"https://arxiv.org/pdf/2506.23824","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1522301498","https://openalex.org/W2293363371","https://openalex.org/W2786672974","https://openalex.org/W2949985837","https://openalex.org/W2950180292","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2963173418","https://openalex.org/W2963956526","https://openalex.org/W2964074409","https://openalex.org/W2964137095","https://openalex.org/W2964159205","https://openalex.org/W2981952041","https://openalex.org/W3007935259","https://openalex.org/W3022061250","https://openalex.org/W3118608800","https://openalex.org/W3175397654","https://openalex.org/W3180562345","https://openalex.org/W4283011496","https://openalex.org/W4287322212","https://openalex.org/W6631190155","https://openalex.org/W6681588610","https://openalex.org/W6685380521","https://openalex.org/W6713132643","https://openalex.org/W6733814495","https://openalex.org/W6748816842","https://openalex.org/W6749107692","https://openalex.org/W6749396741","https://openalex.org/W6753000030","https://openalex.org/W6757712183","https://openalex.org/W6764051988","https://openalex.org/W6777265123","https://openalex.org/W6787972765","https://openalex.org/W6791493996","https://openalex.org/W6839498495"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2996505764","https://openalex.org/W3088649123"],"abstract_inverted_index":{"The":[0],"development":[1,14],"of":[2,15],"semi-supervised":[3],"learning":[4],"(SSL)":[5],"has":[6],"in":[7,25,52,71,100],"recent":[8],"years":[9],"largely":[10],"focused":[11],"on":[12],"the":[13,33,48,67,82,86,89],"new":[16],"consistency":[17],"regularization":[18],"or":[19],"entropy":[20],"minimization":[21],"approaches,":[22],"often":[23],"resulting":[24],"models":[26],"with":[27,102],"complex":[28],"training":[29],"strategies":[30],"to":[31,65,106],"obtain":[32],"desired":[34],"results.":[35],"In":[36],"this":[37],"work,":[38],"we":[39],"instead":[40],"propose":[41],"a":[42,56,72],"novel":[43],"approach":[44],"that":[45,81,94],"explicitly":[46],"incorporates":[47],"underlying":[49],"clustering":[50,60],"assumption":[51],"SSL":[53,77,104],"through":[54],"extending":[55],"recently":[57],"proposed":[58,83],"differentiable":[59],"module.":[61],"Leveraging":[62],"annotated":[63],"data":[64],"guide":[66],"cluster":[68],"centroids":[69],"results":[70],"simple":[73],"end-to-end":[74],"trainable":[75],"deep":[76],"approach.":[78],"We":[79],"demonstrate":[80],"model":[84],"improves":[85],"performance":[87],"over":[88],"supervised-only":[90],"baseline":[91],"and":[92],"show":[93],"our":[95],"framework":[96],"can":[97],"be":[98],"used":[99],"conjunction":[101],"other":[103],"methods":[105],"further":[107],"boost":[108],"their":[109],"performance.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}