{"id":"https://openalex.org/W4399938895","doi":"https://doi.org/10.1109/tip.2024.3416873","title":"Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning","display_name":"Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399938895","doi":"https://doi.org/10.1109/tip.2024.3416873","pmid":"https://pubmed.ncbi.nlm.nih.gov/38913510"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3416873","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tip.2024.3416873","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5102750557","display_name":"Yibing Liu","orcid":"https://orcid.org/0000-0002-2862-5542"},"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":"Yibing Liu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR"],"raw_orcid":"https://orcid.org/0000-0002-2862-5542","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","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":false,"raw_author_name":"Chris Xing Tian","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR"],"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","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"],"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","institution_ids":["https://openalex.org/I168719708"]}]},{"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"],"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","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102750557"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73439561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"33","issue":null,"first_page":"4377","last_page":"4390"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9977999925613403,"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":0.9858999848365784,"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":0.668397843837738},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.644027054309845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6420312523841858},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6002110242843628},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.533301591873169},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4340100586414337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4152371287345886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33586418628692627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21159958839416504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668397843837738},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.644027054309845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420312523841858},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6002110242843628},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.533301591873169},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4340100586414337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4152371287345886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33586418628692627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21159958839416504},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3416873","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tip.2024.3416873","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38913510","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38913510","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1849277567","https://openalex.org/W2149298154","https://openalex.org/W2158108973","https://openalex.org/W2167366427","https://openalex.org/W2194775991","https://openalex.org/W2560647685","https://openalex.org/W2616028256","https://openalex.org/W2627183927","https://openalex.org/W2758584002","https://openalex.org/W2763549966","https://openalex.org/W2766897166","https://openalex.org/W2768783441","https://openalex.org/W2798658180","https://openalex.org/W2804337238","https://openalex.org/W2842511635","https://openalex.org/W2883386984","https://openalex.org/W2892623062","https://openalex.org/W2957905354","https://openalex.org/W2958360136","https://openalex.org/W2962976523","https://openalex.org/W2963043696","https://openalex.org/W2963081790","https://openalex.org/W2963118547","https://openalex.org/W2963327228","https://openalex.org/W2963749936","https://openalex.org/W2964124968","https://openalex.org/W2964288524","https://openalex.org/W2969224142","https://openalex.org/W2977595407","https://openalex.org/W2979553811","https://openalex.org/W2981720610","https://openalex.org/W2996823446","https://openalex.org/W3038585207","https://openalex.org/W3082665562","https://openalex.org/W3109635165","https://openalex.org/W3119486842","https://openalex.org/W3153511633","https://openalex.org/W3175215201","https://openalex.org/W3175956495","https://openalex.org/W3203598645","https://openalex.org/W3203979321","https://openalex.org/W3215641581","https://openalex.org/W4210455774","https://openalex.org/W4214480085","https://openalex.org/W4214736652","https://openalex.org/W4221124295","https://openalex.org/W4246193833","https://openalex.org/W4283271696","https://openalex.org/W4285345657","https://openalex.org/W4288287305","https://openalex.org/W4297808394","https://openalex.org/W4300485620","https://openalex.org/W4304014690","https://openalex.org/W4312739324","https://openalex.org/W4312765682","https://openalex.org/W4313378835","https://openalex.org/W4320487288","https://openalex.org/W4323338655","https://openalex.org/W4323338785","https://openalex.org/W4365482845","https://openalex.org/W4365483249","https://openalex.org/W4387846224","https://openalex.org/W4387969570","https://openalex.org/W4390873141","https://openalex.org/W4393156098","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6639927594","https://openalex.org/W6678977525","https://openalex.org/W6684191040","https://openalex.org/W6691820373","https://openalex.org/W6717255582","https://openalex.org/W6741217325","https://openalex.org/W6745840574","https://openalex.org/W6746171285","https://openalex.org/W6750391026","https://openalex.org/W6751593755","https://openalex.org/W6752160200","https://openalex.org/W6765285020","https://openalex.org/W6767680423","https://openalex.org/W6771898459","https://openalex.org/W6772045000","https://openalex.org/W6774630179","https://openalex.org/W6776700526","https://openalex.org/W6778102432","https://openalex.org/W6779536041","https://openalex.org/W6779928312","https://openalex.org/W6780233385","https://openalex.org/W6782948914","https://openalex.org/W6790059251","https://openalex.org/W6791353385","https://openalex.org/W6794339910","https://openalex.org/W6795943426","https://openalex.org/W6796913975","https://openalex.org/W6801313185","https://openalex.org/W6802387851","https://openalex.org/W6804017529","https://openalex.org/W6810487907","https://openalex.org/W6810864366","https://openalex.org/W6810917535","https://openalex.org/W6860127817"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W1986582023","https://openalex.org/W2966829450","https://openalex.org/W2905271011","https://openalex.org/W2793270624","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Learning":[0],"invariant":[1,72],"representations":[2,162],"via":[3],"contrastive":[4,142,152],"learning":[5,25],"has":[6],"seen":[7],"state-of-the-art":[8],"performance":[9],"in":[10,17,38,126,131,144],"domain":[11],"generalization":[12,167],"(DG).":[13],"Despite":[14],"such":[15],"success,":[16],"this":[18,43,104,171],"paper,":[19],"we":[20,41,59,106,177],"find":[21,179],"that":[22,61,155,180],"its":[23],"core":[24],"strategy":[26],"-":[27,30,89],"feature":[28,53,119,161],"alignment":[29,63],"could":[31],"heavily":[32],"hinder":[33],"model":[34,166,191],"generalization.":[35],"Drawing":[36],"insights":[37],"neuron":[39,47,56,79,174],"interpretability,":[40],"characterize":[42],"problem":[44],"from":[45],"a":[46,108,132],"activation":[48,57,80,101],"view.":[49],"Specifically,":[50],"by":[51,121],"treating":[52],"elements":[54],"as":[55,74],"states,":[58],"show":[60],"conventional":[62],"methods":[64],"tend":[65],"to":[66],"deteriorate":[67],"the":[68,95,158],"diversity":[69,159],"of":[70,91,160],"learned":[71],"features,":[73],"they":[75],"indiscriminately":[76],"minimize":[77],"all":[78],"differences.":[81],"This":[82],"instead":[83],"ignores":[84],"rich":[85],"relations":[86],"among":[87],"neurons":[88,186],"many":[90],"them":[92],"often":[93],"identify":[94],"same":[96],"visual":[97],"concepts":[98,124],"despite":[99],"differing":[100],"patterns.":[102],"With":[103],"finding,":[105],"present":[107],"simple":[109],"yet":[110],"effective":[111],"approach,":[112],"Concept":[113],"Contrast":[114],"(CoCo),":[115],"which":[116],"relaxes":[117],"element-wise":[118],"alignments":[120],"contrasting":[122],"high-level":[123],"encoded":[125],"neurons.":[127],"Our":[128],"CoCo":[129,148,156,181],"performs":[130],"plug-and-play":[133],"fashion,":[134],"thus":[135],"it":[136],"can":[137],"be":[138],"integrated":[139],"into":[140],"any":[141],"method":[143],"DG.":[145],"We":[146],"evaluate":[147],"over":[149],"four":[150],"canonical":[151],"methods,":[153],"showing":[154],"promotes":[157],"and":[163],"consistently":[164],"improves":[165],"capability.":[168],"By":[169],"decoupling":[170],"success":[172],"through":[173],"coverage":[175],"analysis,":[176],"further":[178],"potentially":[182],"invokes":[183],"more":[184],"meaningful":[185],"during":[187],"training,":[188],"thereby":[189],"improving":[190],"learning.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}