{"id":"https://openalex.org/W4402811581","doi":"https://doi.org/10.1109/icecai62591.2024.10675013","title":"AD-Aligning: Emulating Human-Like Generalization for Cognitive Domain Adaptation in Deep Learning","display_name":"AD-Aligning: Emulating Human-Like Generalization for Cognitive Domain Adaptation in Deep Learning","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4402811581","doi":"https://doi.org/10.1109/icecai62591.2024.10675013"},"language":"en","primary_location":{"id":"doi:10.1109/icecai62591.2024.10675013","doi":"https://doi.org/10.1109/icecai62591.2024.10675013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecai62591.2024.10675013","pdf_url":null,"source":{"id":"https://openalex.org/S4363608389","display_name":"International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.09582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101792091","display_name":"Zhuoying Li","orcid":"https://orcid.org/0000-0002-9174-1140","observed_orcids":["https://orcid.org/0000-0002-9174-1140"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuoying Li","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science,Baltimore,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science,Baltimore,US","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014246930","display_name":"Bohua Wan","orcid":"https://orcid.org/0000-0002-9448-1364","observed_orcids":["https://orcid.org/0000-0002-9448-1364"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bohua Wan","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science,Baltimore,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science,Baltimore,US","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cong Mu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Mu","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science,Baltimore,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science,Baltimore,US","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051936798","display_name":"Ruzhang Zhao","orcid":"https://orcid.org/0000-0002-3420-5771","observed_orcids":["https://orcid.org/0000-0002-3420-5771"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruzhang Zhao","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science,Baltimore,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science,Baltimore,US","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109720463","display_name":"Shushan Qiu","orcid":"https://orcid.org/0009-0002-1173-597X","observed_orcids":["https://orcid.org/0009-0002-1173-597X"]},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shushan Qiu","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100308886","display_name":"Chao Yan","orcid":"https://orcid.org/0009-0005-4223-6956","observed_orcids":["https://orcid.org/0009-0005-4223-6956"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Yan","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Sunnyvale,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Sunnyvale,US","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8872,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92712283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"794","last_page":"798"},"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":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0,"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/domain-adaptation","display_name":"domain adaptation","score":0.9369999766349792},{"id":"https://openalex.org/keywords/adversarial-training","display_name":"adversarial training","score":0.949999988079071},{"id":"https://openalex.org/keywords/domain-alignment","display_name":"domain alignment","score":0.7519999742507935},{"id":"https://openalex.org/keywords/coral-loss","display_name":"coral loss","score":0.8519999980926514},{"id":"https://openalex.org/keywords/domain-shift","display_name":"domain shift","score":0.6380000114440918},{"id":"https://openalex.org/keywords/generalization","display_name":"generalization","score":0.5989999771118164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206820249557495},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7000840902328491},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6705254912376404},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5755090117454529},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5548202991485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5343992114067078},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4897315502166748},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44309842586517334},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.37700068950653076},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19276466965675354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10494589805603027},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06696435809135437},{"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icecai62591.2024.10675013","doi":"https://doi.org/10.1109/icecai62591.2024.10675013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecai62591.2024.10675013","pdf_url":null,"source":{"id":"https://openalex.org/S4363608389","display_name":"International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2405.09582","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.09582","pdf_url":"https://arxiv.org/pdf/2405.09582","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2405.09582","doi":"https://doi.org/10.48550/arxiv.2405.09582","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2405.09582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2405.09582","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.09582","pdf_url":"https://arxiv.org/pdf/2405.09582","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402811581.pdf","grobid_xml":"https://content.openalex.org/works/W4402811581.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W2212660284","https://openalex.org/W2562192638","https://openalex.org/W2593768305","https://openalex.org/W2604763608","https://openalex.org/W2951940613","https://openalex.org/W2963275094","https://openalex.org/W3048967152","https://openalex.org/W3080818206","https://openalex.org/W3132178755","https://openalex.org/W3207404093","https://openalex.org/W4327852039","https://openalex.org/W4385801666","https://openalex.org/W4387968010","https://openalex.org/W4391924111","https://openalex.org/W4402473660","https://openalex.org/W4403421504","https://openalex.org/W6679712600"],"related_works":["https://openalex.org/W2990917850","https://openalex.org/W4411249469","https://openalex.org/W4384820066","https://openalex.org/W7207807116","https://openalex.org/W2994223730","https://openalex.org/W3183581441","https://openalex.org/W4392137786","https://openalex.org/W4414359987","https://openalex.org/W4410993450","https://openalex.org/W2964117661"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,86,131],"is":[2],"pivotal":[3],"for":[4,123],"enabling":[5],"deep":[6],"learning":[7],"models":[8],"to":[9,41,94,108],"generalize":[10],"across":[11],"diverse":[12,74],"domains,":[13],"a":[14,30,120],"task":[15],"complicated":[16],"by":[17],"variations":[18],"in":[19,115],"presentation":[20],"and":[21,50,76,83,101,128],"cognitive":[22,84,112],"nuances.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,88],"introduce":[28],"AD-Aligning,":[29],"novel":[31],"approach":[32],"that":[33],"combines":[34],"adversarial":[35],"training":[36],"with":[37,47,58],"source-target":[38],"domain":[39,56,68,77,85,130],"alignment":[40],"enhance":[42],"generalization":[43],"capabilities.":[44],"By":[45],"pretraining":[46],"Coral":[48,100],"loss":[49],"standard":[51],"loss,":[52],"AD-Aligning":[53],"aligns":[54],"target":[55],"statistics":[57],"those":[59],"of":[60],"the":[61,110],"pretrained":[62],"encoder,":[63],"preserving":[64],"robustness":[65],"while":[66],"accommodating":[67],"shifts.":[69],"Through":[70],"extensive":[71],"experiments":[72],"on":[73],"datasets":[75],"shift":[78],"scenarios,":[79],"including":[80],"noise-induced":[81],"shifts":[82],"tasks,":[87],"demonstrate":[89],"AD-Aligning's":[90,106],"superior":[91],"performance":[92],"compared":[93],"existing":[95],"methods":[96],"such":[97],"as":[98],"Deep":[99],"ADDA.":[102],"Our":[103],"findings":[104],"highlight":[105],"ability":[107],"emulate":[109],"nuanced":[111],"processes":[113],"inherent":[114],"human":[116],"perception,":[117],"making":[118],"it":[119],"promising":[121],"solution":[122],"real-world":[124],"applications":[125],"requiring":[126],"adaptable":[127],"robust":[129],"strategies.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-09-25T00:00:00"}