{"id":"https://openalex.org/W4395686728","doi":"https://doi.org/10.48550/arxiv.2404.16233","title":"AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models","display_name":"AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4395686728","doi":"https://doi.org/10.48550/arxiv.2404.16233"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2404.16233","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.16233","pdf_url":"https://arxiv.org/pdf/2404.16233","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.16233","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101596189","display_name":"Zhiqiang Tang","orcid":"https://orcid.org/0000-0003-0710-3056"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Zhiqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113190707","display_name":"Haoyang Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Haoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101281023","display_name":"Su Zhou","orcid":"https://orcid.org/0000-0002-6518-3130"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Su","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009793780","display_name":"Taojiannan Yang","orcid":"https://orcid.org/0000-0001-8564-9439"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Taojiannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056555652","display_name":"Zihan Zhong","orcid":"https://orcid.org/0009-0009-9809-4589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Zihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101738040","display_name":"Ye Hu","orcid":"https://orcid.org/0000-0001-7255-5409"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Tony","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050325468","display_name":"Katrin Kirchhoff","orcid":"https://orcid.org/0000-0002-6645-6030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirchhoff, Katrin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082384108","display_name":"George Karypis","orcid":"https://orcid.org/0000-0003-2753-1437"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karypis, George","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9354000091552734,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9354000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.7808753848075867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4156056046485901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35712558031082153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3218699097633362},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.14864253997802734},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.03949177265167236}],"concepts":[{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.7808753848075867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4156056046485901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35712558031082153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3218699097633362},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.14864253997802734},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.03949177265167236}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2404.16233","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.16233","pdf_url":"https://arxiv.org/pdf/2404.16233","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2404.16233","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.16233","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.16233","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.16233","pdf_url":"https://arxiv.org/pdf/2404.16233","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4395686728.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2381393187","https://openalex.org/W2332779545","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2358060160","https://openalex.org/W2035483685","https://openalex.org/W2376932109","https://openalex.org/W1969764885"],"abstract_inverted_index":{"AutoGluon-Multimodal":[0],"(AutoMM)":[1],"is":[2],"introduced":[3],"as":[4],"an":[5],"open-source":[6],"AutoML":[7,84],"library":[8,48],"designed":[9,98],"specifically":[10],"for":[11,99],"multimodal":[12],"learning.":[13],"Distinguished":[14],"by":[15],"its":[16],"exceptional":[17],"ease":[18],"of":[19,24,31,53],"use,":[20],"AutoMM":[21],"enables":[22],"fine-tuning":[23],"foundation":[25],"models":[26],"with":[27,95],"just":[28],"three":[29],"lines":[30],"code.":[32],"Supporting":[33],"various":[34],"modalities":[35],"including":[36],"image,":[37],"text,":[38],"and":[39,44,62,69,78],"tabular":[40],"data,":[41],"both":[42],"independently":[43],"in":[45,75,91],"combination,":[46],"the":[47],"offers":[49],"a":[50],"comprehensive":[51],"suite":[52],"functionalities":[54],"spanning":[55],"classification,":[56],"regression,":[57],"object":[58],"detection,":[59],"semantic":[60],"matching,":[61],"image":[63],"segmentation.":[64],"Experiments":[65],"across":[66],"diverse":[67],"datasets":[68],"tasks":[70,80],"showcases":[71],"AutoMM's":[72],"superior":[73],"performance":[74],"basic":[76],"classification":[77],"regression":[79],"compared":[81],"to":[82],"existing":[83],"tools,":[85],"while":[86],"also":[87],"demonstrating":[88],"competitive":[89],"results":[90],"advanced":[92],"tasks,":[93],"aligning":[94],"specialized":[96],"toolboxes":[97],"such":[100],"purposes.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-12T07:12:00.856984","created_date":"2024-04-27T00:00:00"}
