{"id":"https://openalex.org/W4221124295","doi":"https://doi.org/10.1109/tpami.2022.3157441","title":"Neuron Coverage-Guided Domain Generalization","display_name":"Neuron Coverage-Guided Domain Generalization","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W4221124295","doi":"https://doi.org/10.1109/tpami.2022.3157441","pmid":"https://pubmed.ncbi.nlm.nih.gov/35259096"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3157441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3157441","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084858586","display_name":"Chris Xing Tian","orcid":"https://orcid.org/0000-0002-6709-0261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chris Xing Tian","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-6709-0261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040091210","display_name":"Haoliang Li","orcid":"https://orcid.org/0000-0002-8723-8112"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoliang Li","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-8723-8112","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084396416","display_name":"Xiaofei Xie","orcid":"https://orcid.org/0000-0002-1288-6502"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaofei Xie","raw_affiliation_strings":["School of Computing and Information Systems, Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7300-9215","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084858586"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":4.9872,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95726843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"1","first_page":"1302","last_page":"1311"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9969000220298767,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.97079998254776,"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":0.7795404195785522},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7103216648101807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6386026740074158},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6057753562927246},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5331513285636902},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4896102547645569},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4868732988834381},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4759387969970703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46934711933135986},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44827720522880554},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44626563787460327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3580479025840759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1963110864162445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14782312512397766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795404195785522},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7103216648101807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6386026740074158},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6057753562927246},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5331513285636902},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4896102547645569},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4868732988834381},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4759387969970703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46934711933135986},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44827720522880554},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44626563787460327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3580479025840759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1963110864162445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14782312512397766},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2022.3157441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3157441","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35259096","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35259096","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:dr.ntu.edu.sg:10356/162633","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/162633","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4045071619","display_name":null,"funder_award_id":"NRF2018NCR-NCR005-0001","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G6964584101","display_name":null,"funder_award_id":"62022002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1882958252","https://openalex.org/W1920962657","https://openalex.org/W2031342017","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2155858138","https://openalex.org/W2157364932","https://openalex.org/W2157475639","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2335728318","https://openalex.org/W2339611261","https://openalex.org/W2340897893","https://openalex.org/W2427182019","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2604763608","https://openalex.org/W2616028256","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2798658180","https://openalex.org/W2804337238","https://openalex.org/W2806187986","https://openalex.org/W2809090039","https://openalex.org/W2883068149","https://openalex.org/W2884366600","https://openalex.org/W2889965839","https://openalex.org/W2892623062","https://openalex.org/W2949737767","https://openalex.org/W2952848538","https://openalex.org/W2958360136","https://openalex.org/W2962850830","https://openalex.org/W2963043696","https://openalex.org/W2963118547","https://openalex.org/W2963716183","https://openalex.org/W2963746531","https://openalex.org/W2964137095","https://openalex.org/W2964309882","https://openalex.org/W2965502995","https://openalex.org/W2970119729","https://openalex.org/W2981368934","https://openalex.org/W2994088087","https://openalex.org/W2998712190","https://openalex.org/W3034373371","https://openalex.org/W3035042787","https://openalex.org/W3038585207","https://openalex.org/W3082665562","https://openalex.org/W3095799614","https://openalex.org/W3109635165","https://openalex.org/W3109831211","https://openalex.org/W3137695714","https://openalex.org/W3169545167","https://openalex.org/W4288404646","https://openalex.org/W4297808394","https://openalex.org/W6639480849","https://openalex.org/W6682803231","https://openalex.org/W6683124652","https://openalex.org/W6684191040","https://openalex.org/W6698183232","https://openalex.org/W6703116779","https://openalex.org/W6717907803","https://openalex.org/W6722836162","https://openalex.org/W6736057607","https://openalex.org/W6745134051","https://openalex.org/W6745535286","https://openalex.org/W6748481559","https://openalex.org/W6752160200","https://openalex.org/W6752495264","https://openalex.org/W6753207496","https://openalex.org/W6754038005","https://openalex.org/W6757555829","https://openalex.org/W6757712578","https://openalex.org/W6758853722","https://openalex.org/W6763485134","https://openalex.org/W6766511095","https://openalex.org/W6767680423","https://openalex.org/W6770979763","https://openalex.org/W6779032094","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3162204513","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2371138613","https://openalex.org/W2156434174","https://openalex.org/W2048963458","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W4220659530"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,144,150,178,187],"the":[4,31,63,76,79,86,91,97,102,109,113,118,125,131,158,188],"domain":[5,9,21,146],"generalization":[6,87,147],"task":[7],"where":[8],"knowledge":[10],"is":[11,115],"unavailable,":[12],"and":[13,68,104,128,153,190],"even":[14],"worse,":[15],"only":[16],"samples":[17],"from":[18,30],"a":[19,66,72],"single":[20,152],"can":[22,49,135],"be":[23,136],"utilized":[24],"during":[25,78],"training.":[26],"Our":[27],"motivation":[28],"originates":[29],"recent":[32],"progresses":[33],"in":[34],"deep":[35],"neural":[36],"network":[37,80,179],"(DNN)":[38],"testing,":[39],"which":[40],"has":[41],"shown":[42],"that":[43,121,134],"maximizing":[44,90],"neuron":[45,70,92],"coverage":[46,93],"of":[47,55,75,94,112,160,192],"DNN":[48,56,64,95,114,133],"help":[50],"to":[51,84,130,139],"explore":[52],"possible":[53],"defects":[54],"(i.e.,":[57],"misclassification).":[58],"More":[59],"specifically,":[60],"by":[61,89,174],"treating":[62],"as":[65,71],"program":[67],"each":[69],"functional":[73],"point":[74],"code,":[77],"training":[81],"we":[82],"aim":[83],"improve":[85],"capability":[88],"with":[96,165],"gradient":[98],"similarity":[99],"regularization":[100],"between":[101],"original":[103],"augmented":[105],"samples.":[106,141],"As":[107],"such,":[108],"decision":[110],"behavior":[111],"optimized,":[116],"avoiding":[117],"arbitrary":[119],"neurons":[120],"are":[122],"deleterious":[123],"for":[124],"unseen":[126],"samples,":[127],"leading":[129],"trained":[132],"better":[137],"generalized":[138],"out-of-distribution":[140],"Extensive":[142],"studies":[143],"various":[145],"tasks":[148],"based":[149,177],"both":[151],"multiple":[154],"domain(s)":[155],"setting":[156],"demonstrate":[157],"effectiveness":[159,191],"our":[161,172,193],"proposed":[162],"approach":[163],"compared":[164],"state-of-the-art":[166],"baseline":[167],"methods.":[168],"We":[169],"also":[170],"analyze":[171],"method":[173],"conducting":[175],"visualization":[176],"dissection.":[180],"The":[181],"results":[182],"further":[183],"provide":[184],"useful":[185],"evidence":[186],"rationality":[189],"approach.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}