{"id":"https://openalex.org/W4409983180","doi":"https://doi.org/10.1137/1.9781611978520.54","title":"VisTabNet: Adapting Vision Transformers for Tabular Data","display_name":"VisTabNet: Adapting Vision Transformers for Tabular Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409983180","doi":"https://doi.org/10.1137/1.9781611978520.54"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611978520.54","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.54","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ruj.uj.edu.pl/handle/item/566654","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021803359","display_name":"Witold Wydma\u0144ski","orcid":null},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Witold Wydma\u0144ski","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115763945","display_name":"Ulvi Movsum-zada","orcid":null},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ulvi Movsum-zada","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052791052","display_name":"Jacek Tabor","orcid":"https://orcid.org/0000-0001-6652-7727"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Tabor","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089509620","display_name":"Marek \u015amieja","orcid":"https://orcid.org/0000-0003-2027-4132"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek \u015amieja","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Jagiellonian University, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021803359"],"corresponding_institution_ids":["https://openalex.org/I126596746"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21633701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.5533000230789185,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.5533000230789185,"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/transformer","display_name":"Transformer","score":0.5015568733215332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4935082197189331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44950804114341736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36862385272979736},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3268773555755615},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22696977853775024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2065107524394989},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.039290547370910645}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5015568733215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4935082197189331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44950804114341736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36862385272979736},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3268773555755615},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22696977853775024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2065107524394989},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.039290547370910645}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/1.9781611978520.54","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.54","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"},{"id":"pmh:oai:ruj.uj.edu.pl:item/566654","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/handle/item/566654","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ruj.uj.edu.pl:item/566654","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/handle/item/566654","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Although":[0],"deep":[1,154],"learning":[2,70,155,164],"models":[3,51,171],"have":[4],"had":[5],"great":[6],"success":[7],"in":[8,21,36],"natural":[9],"language":[10],"processing":[11,119],"and":[12,39,152,166],"computer":[13],"vision,":[14],"we":[15,63,96],"do":[16],"not":[17],"observe":[18],"comparable":[19],"improvements":[20],"the":[22,30,110,124,129,180],"case":[23],"of":[24,113,127,182],"tabular":[25,58,84,88,105,120,138,177],"data,":[26,121],"which":[27,72],"is":[28,45],"still":[29],"most":[31],"common":[32],"data":[33],"type":[34],"used":[35],"biological,":[37],"industrial":[38],"financial":[40],"applications.":[41],"In":[42],"particular,":[43],"it":[44],"challenging":[46],"to":[47,52,82,90,104,175],"transfer":[48,69,163,183],"large-scale":[49],"pre-trained":[50,80,101,169],"downstream":[53],"tasks":[54],"defined":[55],"on":[56,135],"small":[57,137],"datasets.":[59],"To":[60],"address":[61],"this,":[62],"propose":[64],"VisTabNet":[65],"-":[66],"a":[67,100,115,191],"cross-modal":[68],"method,":[71],"allows":[73],"for":[74,118],"adapting":[75],"Vision":[76],"Transformer":[77,102],"(ViT)":[78],"with":[79],"weights":[81],"process":[83],"data.":[85],"By":[86],"projecting":[87],"inputs":[89],"patch":[91],"embeddings":[92],"acceptable":[93],"by":[94],"ViT,":[95],"can":[97,172],"directly":[98],"apply":[99],"Encoder":[103],"inputs.":[106],"This":[107],"approach":[108],"eliminates":[109],"conceptual":[111],"cost":[112,126],"designing":[114],"suitable":[116],"architecture":[117],"while":[122],"reducing":[123],"computational":[125],"training":[128],"model":[130],"from":[131],"scratch.":[132],"Experimental":[133],"results":[134],"multiple":[136],"datasets":[139],"(less":[140],"than":[141],"1k":[142],"samples)":[143],"demonstrate":[144],"VisTabNet\u2019s":[145],"superiority,":[146],"outperforming":[147],"both":[148],"traditional":[149],"ensemble":[150],"methods":[151],"recent":[153],"models.":[156],"The":[157],"proposed":[158],"method":[159],"goes":[160],"beyond":[161],"conventional":[162],"practice":[165],"shows":[167],"that":[168],"image":[170],"be":[173],"transferred":[174],"solve":[176],"problems,":[178],"extending":[179],"boundaries":[181],"learning.":[184],"We":[185],"share":[186],"our":[187],"example":[188],"implementation":[189],"as":[190],"GitHub":[192],"repository":[193],"available":[194],"at":[195],"https://github.com/wwydmanski/VisTabNet.":[196]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}