{"id":"https://openalex.org/W4226486993","doi":"https://doi.org/10.1145/3486622.3493940","title":"TTNet: Tabular Transfer Network for Few-samples Prediction","display_name":"TTNet: Tabular Transfer Network for Few-samples Prediction","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4226486993","doi":"https://doi.org/10.1145/3486622.3493940"},"language":"en","primary_location":{"id":"doi:10.1145/3486622.3493940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493940","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050063804","display_name":"Donghu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghu Ding","raw_affiliation_strings":["Alibaba group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062179596","display_name":"Xuanwu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanwu Liu","raw_affiliation_strings":["Alibaba group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364041","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-7973-2746"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Guangzhou University, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034766193","display_name":"Youxi Wu","orcid":"https://orcid.org/0000-0001-5314-3468"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["Hebei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075747654","display_name":"Lingzhou Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzhou Ma","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032277491"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43456721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9970999956130981,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.6478654146194458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478654146194458}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486622.3493940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493940","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1970972959","https://openalex.org/W1978223003","https://openalex.org/W1979972232","https://openalex.org/W2122838776","https://openalex.org/W2129877315","https://openalex.org/W2146807976","https://openalex.org/W2147179108","https://openalex.org/W2165698076","https://openalex.org/W2412782625","https://openalex.org/W2609468337","https://openalex.org/W2736572352","https://openalex.org/W2741497758","https://openalex.org/W2781476508","https://openalex.org/W2896480560","https://openalex.org/W2897432887","https://openalex.org/W2897834873","https://openalex.org/W2898085636","https://openalex.org/W2964182926","https://openalex.org/W2984864928","https://openalex.org/W2985158603","https://openalex.org/W2985686024","https://openalex.org/W2988044524","https://openalex.org/W3101704389","https://openalex.org/W3104926413","https://openalex.org/W4294344151"],"related_works":["https://openalex.org/W972044","https://openalex.org/W563404","https://openalex.org/W893318","https://openalex.org/W610698","https://openalex.org/W911753","https://openalex.org/W1083725","https://openalex.org/W770098","https://openalex.org/W619728","https://openalex.org/W382276","https://openalex.org/W600962"],"abstract_inverted_index":{"Tabular":[0,90],"learning":[1,61,70,135],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,19,85,143,164],"practical":[7],"scenarios":[8],"to":[9,32,41,56,96,137],"handle":[10],"tabular":[11,39,60,73,104,148],"data":[12,18,40,52],"such":[13],"as":[14],"the":[15,36,42,49,66,144,161,177,190],"type":[16],"of":[17,68,147,166],"a":[20,23,88,117,133,171],"spreadsheet":[21],"or":[22],"CSV":[24],"file.":[25],"In":[26,129],"many":[27],"applications,":[28],"it":[29],"is":[30],"necessary":[31],"transfer":[33,69],"knowledge":[34,101],"from":[35],"abundant":[37],"source":[38,145],"few":[43,50],"target":[44,51],"data,":[45],"since":[46],"models":[47],"on":[48,76,103,151,176],"are":[53],"always":[54],"easy":[55],"overfit.":[57],"However,":[58],"existing":[59],"methods":[62],"have":[63],"not":[64],"touched":[65],"problem":[67],"between":[71],"different":[72],"datasets":[74,155],"based":[75],"deep":[77],"neural":[78],"networks.":[79],"To":[80,106],"this":[81,86],"end,":[82],"we":[83],"propose":[84],"paper":[87],"new":[89],"Transfer":[91],"Network":[92],"(TTNet":[93],"for":[94,111],"short)":[95],"enable":[97,107,138],"effective":[98],"and":[99,153,168],"efficient":[100],"transferring":[102,112],"data.":[105,149],"network":[108,119,123,127],"structures":[109],"adaptive":[110],"learning,":[113],"TTNet":[114,131,158,183],"first":[115],"designs":[116],"BucTab":[118],"which":[120],"integrates":[121],"multi-bucket":[122],"with":[124,189],"imitated":[125],"tree-based":[126],"structures.":[128],"addition,":[130],"uses":[132],"meta-transfer":[134],"strategy":[136],"fast":[139],"adaption":[140],"by":[141],"pre-training":[142],"domain":[146],"Experiments":[150],"benchmark":[152],"real-world":[154],"show":[156],"that":[157,182],"significantly":[159],"outperforms":[160],"state-of-the-art":[162],"approaches":[163],"terms":[165],"effectiveness":[167],"efficiency,":[169],"e.g.,":[170],"new-shop":[172],"prediction":[173],"task":[174],"testing":[175],"e-commerce":[178],"platform":[179],"Ele.me":[180],"shows":[181],"brings":[184],"9%":[185],"MAE":[186],"reduction":[187],"comparing":[188],"baselines.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
