{"id":"https://openalex.org/W3107030363","doi":"https://doi.org/10.1109/icpr48806.2021.9413321","title":"Randomized Transferable Machine","display_name":"Randomized Transferable Machine","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3107030363","doi":"https://doi.org/10.1109/icpr48806.2021.9413321","mag":"3107030363"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.13629v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101506669","display_name":"Pengfei Wei","orcid":"https://orcid.org/0000-0001-8093-0803"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Pengfei Wei","raw_affiliation_strings":["School of Computing National University of Singapore, Singapore","National University of Singapore,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039680902","display_name":"Tze-Yun Leong","orcid":"https://orcid.org/0000-0002-1139-803X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tze Yun Leong","raw_affiliation_strings":["School of Computing National University of Singapore, Singapore","National University of Singapore,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"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":"7","issue":null,"first_page":"8711","last_page":"8718"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9855999946594238,"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":0.9567999839782715,"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":0.6790294647216797},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5738568305969238},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5568681955337524},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5384810566902161},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4855930209159851},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46597883105278015},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.46103763580322266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4588698744773865},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.45826584100723267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4271962642669678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3766806721687317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19737225770950317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790294647216797},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5738568305969238},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5568681955337524},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5384810566902161},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4855930209159851},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46597883105278015},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.46103763580322266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4588698744773865},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.45826584100723267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4271962642669678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3766806721687317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19737225770950317},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"mag:3107030363","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.13629v1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3107030363","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.13629v1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1731081199","https://openalex.org/W1964929969","https://openalex.org/W2051361808","https://openalex.org/W2057266281","https://openalex.org/W2096873754","https://openalex.org/W2096943734","https://openalex.org/W2102419107","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2122922389","https://openalex.org/W2149466042","https://openalex.org/W2150846797","https://openalex.org/W2157762168","https://openalex.org/W2159291411","https://openalex.org/W2163302275","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2579855779","https://openalex.org/W2593768305","https://openalex.org/W2614424296","https://openalex.org/W2616287544","https://openalex.org/W2798681837","https://openalex.org/W2893630558","https://openalex.org/W2954996726","https://openalex.org/W2955547856","https://openalex.org/W2963275094","https://openalex.org/W2963756240","https://openalex.org/W2964116600","https://openalex.org/W2964278684","https://openalex.org/W2964285681","https://openalex.org/W2964288524","https://openalex.org/W2965604235","https://openalex.org/W2966145398","https://openalex.org/W2980096013","https://openalex.org/W2984835429","https://openalex.org/W2987651531","https://openalex.org/W3039883906","https://openalex.org/W6629510986","https://openalex.org/W6637618735","https://openalex.org/W6674764686","https://openalex.org/W6681637710","https://openalex.org/W6683633756","https://openalex.org/W6684149856","https://openalex.org/W6685415078","https://openalex.org/W6713955831","https://openalex.org/W6720111944","https://openalex.org/W6732380306","https://openalex.org/W6755249077","https://openalex.org/W6755310938"],"related_works":["https://openalex.org/W3161612309","https://openalex.org/W3166635318","https://openalex.org/W2965141076","https://openalex.org/W3019620393","https://openalex.org/W2905630211","https://openalex.org/W3171490580","https://openalex.org/W3004305316","https://openalex.org/W3098683888","https://openalex.org/W2151985930","https://openalex.org/W2557513777","https://openalex.org/W2770828701","https://openalex.org/W2963031612","https://openalex.org/W3034163353","https://openalex.org/W3213450761","https://openalex.org/W2605145092","https://openalex.org/W2804184144","https://openalex.org/W2517579295","https://openalex.org/W3209115674","https://openalex.org/W2414413599","https://openalex.org/W2735856532"],"abstract_inverted_index":{"Feature-based":[0],"transfer":[1,10,30,67,90,114,153,230,238],"is":[2,22,50,95,163,169,195,235],"one":[3],"of":[4,138],"the":[5,17,46,82,122,129,134,136,139,146],"most":[6],"effective":[7],"methodologies":[8],"for":[9],"learning.":[11],"Existing":[12],"studies":[13],"usually":[14],"assume":[15],"that":[16,117,194,233],"learned":[18,86],"new":[19,47,62,83],"feature":[20,48,84],"representation":[21,49,85],"truly":[23,205],"domain-invariant,":[24],"and":[25,52,110,150,182,222],"thus":[26,151],"directly":[27],"train":[28,112,191],"a":[29,41,61,66,113,175,186,215,236],"model":[31,68,115,181],"M":[32],"on":[33,78,120,227],"source":[34,79,98,105,124,148,201],"domain.":[35],"In":[36,127],"this":[37],"paper,":[38],"we":[39,76,189],"consider":[40],"more":[42,130],"realistic":[43],"scenario":[44],"where":[45],"suboptimal":[51],"small":[53],"divergence":[54],"still":[55],"exists":[56],"across":[57],"domains.":[58],"We":[59,173],"propose":[60],"learning":[63],"strategy":[64],"with":[65,81,164,178],"called":[69],"Randomized":[70],"Transferable":[71],"Machine":[72],"(RTM).":[73],"More":[74,209],"specifically,":[75],"work":[77],"data":[80,100,106,125,141],"from":[87],"existing":[88],"feature-based":[89],"methods.":[91],"The":[92],"key":[93],"idea":[94],"to":[96,197],"enlarge":[97],"training":[99,198],"populations":[101,203],"by":[102,145,158],"randomly":[103],"corrupting":[104],"using":[107,199],"some":[108],"noises,":[109],"then":[111],"~M":[116,159],"performs":[118],"well":[119],"all":[121],"corrupted":[123],"populations.":[126,149],"principle,":[128],"corruptions":[131],"are":[132],"made,":[133],"higher":[135],"probability":[137],"target":[140],"can":[142,155,190],"be":[143,156],"covered":[144],"constructed":[147],"better":[152],"performance":[154],"achieved":[157],"An":[160],"ideal":[161],"case":[162],"infinite":[165,200],"corruptions,":[166],"which":[167,218],"however":[168],"infeasible":[170],"in":[171],"reality.":[172],"develop":[174],"marginalized":[176],"solution":[177],"linear":[179],"regression":[180],"dropout":[183],"noise.":[184],"With":[185],"marginalization":[187],"trick,":[188],"an":[192,212],"RTM":[193,213,234],"equivalently":[196],"noisy":[202],"without":[204],"conducting":[206],"any":[207],"corruption.":[208],"importantly,":[210],"such":[211],"has":[214],"closed-form":[216],"solution,":[217],"enables":[219],"very":[220],"fast":[221],"efficient":[223],"training.":[224],"Extensive":[225],"experiments":[226],"various":[228],"real-world":[229],"tasks":[231],"show":[232],"promising":[237],"model.":[239]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
