{"id":"https://openalex.org/W7127592830","doi":"https://doi.org/10.48550/arxiv.2602.02890","title":"Self-Soupervision: Cooking Model Soups without Labels","display_name":"Self-Soupervision: Cooking Model Soups without Labels","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7127592830","doi":"https://doi.org/10.48550/arxiv.2602.02890"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.02890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071556402","display_name":"Anthony Fuller","orcid":"https://orcid.org/0000-0001-8187-5850"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fuller, Anthony","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078223816","display_name":"James R. Green","orcid":"https://orcid.org/0000-0002-6039-2355"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Green, James R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124984926","display_name":"Evan Shelhamer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shelhamer, Evan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071556402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.49630001187324524,"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":0.49630001187324524,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.19089999794960022,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0754999965429306,"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/robustness","display_name":"Robustness (evolution)","score":0.6388999819755554},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.43619999289512634},{"id":"https://openalex.org/keywords/flavor","display_name":"Flavor","score":0.42800000309944153},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.40799999237060547},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6388999819755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176999807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4690000116825104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C2780719635","wikidata":"https://www.wikidata.org/wiki/Q4173974","display_name":"Flavor","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.40799999237060547},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32109999656677246},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2671999931335449}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.02890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.02890","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.02890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.02890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Model":[0],"soups":[1,40,57,150],"are":[2,159],"strange":[3],"and":[4,23,44,107,141,155],"strangely":[5],"effective":[6],"combinations":[7],"of":[8,151],"parameters.":[9],"They":[10],"take":[11],"a":[12,77,83],"model":[13,31],"(the":[14,21,32],"stock),":[15],"fine-tune":[16],"it":[17],"into":[18,29],"multiple":[19],"models":[20],"ingredients),":[22],"then":[24,95],"mix":[25],"their":[26,137,145],"parameters":[27],"back":[28,97],"one":[30],"soup)":[33],"to":[34,58,116],"improve":[35],"predictions.":[36],"While":[37],"all":[38],"known":[39],"require":[41],"supervised":[42],"learning,":[43],"optimize":[45],"the":[46,118,129],"same":[47],"loss":[48],"on":[49,68,91,98],"labeled":[50],"data,":[51,94,101],"our":[52],"recipes":[53],"for":[54,79,85,122,128],"Self-Soupervision":[55,110],"generalize":[56],"self-supervised":[59],"learning":[60],"(SSL).":[61],"Our":[62],"Self-Souping":[63,90],"lets":[64],"us":[65],"flavor":[66],"ingredients":[67,120,133,157],"new":[69],"data":[70,75],"sources,":[71],"e.g.":[72],"from":[73,76,82],"unlabeled":[74],"task":[78],"transfer":[80],"or":[81],"shift":[84],"robustness.":[86],"We":[87,126,148],"show":[88,127],"that":[89,132,158],"corrupted":[92],"test":[93],"fine-tuning":[96],"uncorrupted":[99],"train":[100],"boosts":[102],"robustness":[103],"by":[104],"+3.5%":[105],"(ImageNet-C)":[106],"+7%":[108],"(LAION-C).":[109],"also":[111],"unlocks":[112],"countless":[113],"SSL":[114,138,146,165],"algorithms":[115],"cook":[117,149],"diverse":[119],"needed":[121],"more":[123,142,160],"robust":[124],"soups.":[125],"first":[130],"time":[131],"can":[134],"differ":[135],"in":[136,144],"hyperparameters":[139],"--":[140],"surprisingly,":[143],"algorithms.":[147],"MAE,":[152],"MoCoV3,":[153],"MMCR,":[154],"LeJEPA":[156],"accurate":[161],"than":[162],"any":[163],"single":[164],"ingredient.":[166]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2026-02-06T00:00:00"}
