{"id":"https://openalex.org/W2898268032","doi":"https://doi.org/10.1142/s0218001419400020","title":"Robust Deep Softmax Regression Against Label Noise for Unsupervised Domain Adaptation","display_name":"Robust Deep Softmax Regression Against Label Noise for Unsupervised Domain Adaptation","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W2898268032","doi":"https://doi.org/10.1142/s0218001419400020","mag":"2898268032"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419400020","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419400020","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5012605111","display_name":"Guangbin Wu","orcid":"https://orcid.org/0000-0002-2639-8948"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangbin Wu","raw_affiliation_strings":["State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, P. R. China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064482165","display_name":"Weishan Chen","orcid":"https://orcid.org/0000-0002-1272-1652"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weishan Chen","raw_affiliation_strings":["State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008511661","display_name":"Zhuang Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Xia","raw_affiliation_strings":["State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064482165"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68185187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"07","first_page":"1940002","last_page":"1940002"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9549000263214111,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.919700026512146,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.9649186134338379},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.8093178272247314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7739107608795166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539855241775513},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7241166234016418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6717879772186279},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6375375986099243},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5376672744750977},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5212850570678711},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.47629132866859436},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4264295995235443},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.42341750860214233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41668885946273804},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4162679612636566},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4133807420730591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16836178302764893},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16236913204193115},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06341657042503357}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9649186134338379},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8093178272247314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7739107608795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539855241775513},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7241166234016418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6717879772186279},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6375375986099243},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5376672744750977},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5212850570678711},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.47629132866859436},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4264295995235443},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.42341750860214233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41668885946273804},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4162679612636566},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4133807420730591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16836178302764893},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16236913204193115},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06341657042503357},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419400020","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419400020","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309398","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W53987483","https://openalex.org/W72116547","https://openalex.org/W1573626183","https://openalex.org/W1722318740","https://openalex.org/W1875842236","https://openalex.org/W1916649859","https://openalex.org/W1971221757","https://openalex.org/W1995349519","https://openalex.org/W2022622367","https://openalex.org/W2030866871","https://openalex.org/W2031342017","https://openalex.org/W2059279601","https://openalex.org/W2075818274","https://openalex.org/W2098370488","https://openalex.org/W2104068492","https://openalex.org/W2109527084","https://openalex.org/W2112761524","https://openalex.org/W2115403315","https://openalex.org/W2117539524","https://openalex.org/W2142114717","https://openalex.org/W2149466042","https://openalex.org/W2150871663","https://openalex.org/W2162854380","https://openalex.org/W2165698076","https://openalex.org/W2166765763","https://openalex.org/W2206936520","https://openalex.org/W2212660284","https://openalex.org/W2214409633","https://openalex.org/W2324582751","https://openalex.org/W2519597991","https://openalex.org/W2554617421","https://openalex.org/W2559655401","https://openalex.org/W2570179224","https://openalex.org/W2604272474","https://openalex.org/W2737362155","https://openalex.org/W2800292742","https://openalex.org/W2963168418","https://openalex.org/W2990138404"],"related_works":["https://openalex.org/W2947839263","https://openalex.org/W4300326282","https://openalex.org/W3120400911","https://openalex.org/W3080655457","https://openalex.org/W2742395793","https://openalex.org/W4318239405","https://openalex.org/W4362602249","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3155369511"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,75,87,149],"aims":[2],"to":[3,12,117,120,133,152],"generalize":[4],"the":[5,23,44,51,54,62,66,98,103,128,134,144,147,155,185,189,192],"classification":[6,123,175],"model":[7,89],"from":[8],"a":[9,13,31,83],"source":[10,55,100],"domain":[11,38,74,86,135,148],"different":[14],"but":[15],"related":[16],"target":[17,57,105,109,156],"domain.":[18],"Recent":[19],"studies":[20],"have":[21],"revealed":[22],"benefit":[24],"of":[25,46,127,146,191],"deep":[26,72,91,161,194],"convolutional":[27],"features":[28,47],"trained":[29],"on":[30],"large":[32],"dataset":[33],"(e.g.":[34],"ImageNet)":[35],"in":[36,198],"alleviating":[37],"discrepancy.":[39],"However,":[40,131],"literatures":[41],"show":[42,180],"that":[43,181],"transferability":[45],"decreases":[48],"as":[49],"(i)":[50],"difference":[52],"between":[53],"and":[56,102,173],"domains":[58],"increases,":[59],"or":[60],"(ii)":[61],"layers":[63],"are":[64,115,166],"toward":[65],"top":[67],"layers.":[68],"Therefore,":[69],"even":[70],"with":[71,97,170],"features,":[73],"remains":[76],"necessary.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"novel":[84],"unsupervised":[85],"(UDA)":[88],"for":[90,168],"neural":[92],"networks,":[93],"which":[94,142],"is":[95,140],"learned":[96],"labeled":[99],"samples":[101,110],"unlabeled":[104],"ones":[106],"simultaneously.":[107],"For":[108],"without":[111],"labels,":[112],"pseudo":[113],"labels":[114],"assigned":[116],"them":[118,169],"according":[119],"their":[121],"maximum":[122],"scores":[124],"during":[125],"training":[126],"UDA":[129],"model.":[130,150],"due":[132],"discrepancy,":[136],"label":[137],"noise":[138],"generally":[139],"inevitable,":[141],"degrades":[143],"performance":[145],"Thus,":[151],"effectively":[153],"utilize":[154],"samples,":[157],"three":[158],"specific":[159],"robust":[160,193],"softmax":[162,195],"regression":[163,196],"(RDSR)":[164],"functions":[165],"performed":[167],"high,":[171],"medium":[172],"low":[174],"confidence":[176],"respectively.":[177],"Extensive":[178],"experiments":[179],"our":[182],"method":[183],"yields":[184],"state-of-the-art":[186],"results,":[187],"demonstrating":[188],"effectiveness":[190],"classifier":[197],"UDA.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
