{"id":"https://openalex.org/W4403722253","doi":"https://doi.org/10.1109/tpami.2024.3485775","title":"Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium","display_name":"Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403722253","doi":"https://doi.org/10.1109/tpami.2024.3485775","pmid":"https://pubmed.ncbi.nlm.nih.gov/39446543"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3485775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3485775","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/A5060931534","display_name":"Woo-Jeoung Nam","orcid":"https://orcid.org/0000-0002-6548-4486"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Woo-Jeoung Nam","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University (KNU), Daegu, South Korea","School of Computer Science and Engineering, Kyungpook National University(KNU), Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6548-4486","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University (KNU), Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University(KNU), Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011014617","display_name":"Seong\u2010Whan Lee","orcid":"https://orcid.org/0000-0002-6249-4996"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["Department of Artificial Intelligence, Korea University, Seoul, South Korea","Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6249-4996","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060931534"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.3457,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64629486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"47","issue":"2","first_page":"1120","last_page":"1131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9307000041007996,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9307000041007996,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9235000014305115,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.91839998960495,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7367384433746338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446963906288147},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.5113770365715027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5037018656730652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32358318567276},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2555611729621887},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.15125367045402527}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7367384433746338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446963906288147},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.5113770365715027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5037018656730652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32358318567276},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2555611729621887},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.15125367045402527}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3485775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3485775","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:39446543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39446543","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G4264967935","display_name":null,"funder_award_id":"RS-2024-00449891","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6123740220","display_name":null,"funder_award_id":"RS-2022-II220984","funder_id":"https://openalex.org/F4320321373","funder_display_name":"Korea University"}],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2117741877","https://openalex.org/W2183341477","https://openalex.org/W2190008860","https://openalex.org/W2195388612","https://openalex.org/W2240067561","https://openalex.org/W2295107390","https://openalex.org/W2516809705","https://openalex.org/W2606462007","https://openalex.org/W2765793020","https://openalex.org/W2776207810","https://openalex.org/W2799124825","https://openalex.org/W2921802966","https://openalex.org/W2962858109","https://openalex.org/W2962867364","https://openalex.org/W2963081790","https://openalex.org/W2963446712","https://openalex.org/W2964231383","https://openalex.org/W2973136764","https://openalex.org/W2980189057","https://openalex.org/W2988157455","https://openalex.org/W2997520586","https://openalex.org/W3035253074","https://openalex.org/W3083155260","https://openalex.org/W3109440167","https://openalex.org/W3135345798","https://openalex.org/W3172381285","https://openalex.org/W3176211557","https://openalex.org/W3177337639","https://openalex.org/W3185555828","https://openalex.org/W3186608063","https://openalex.org/W4214644577","https://openalex.org/W4214739326","https://openalex.org/W4286687906","https://openalex.org/W4312566218","https://openalex.org/W4312770475","https://openalex.org/W4313150877","https://openalex.org/W4315620518","https://openalex.org/W6640425456","https://openalex.org/W6684191040","https://openalex.org/W6685133223","https://openalex.org/W6734194636","https://openalex.org/W6736518430","https://openalex.org/W6737947904","https://openalex.org/W6738118787","https://openalex.org/W6738549535","https://openalex.org/W6739575509","https://openalex.org/W6740358315","https://openalex.org/W6748218292","https://openalex.org/W6752170072","https://openalex.org/W6754669440","https://openalex.org/W6757328097","https://openalex.org/W6767259515"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2035546108","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2570200690","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,50,70,76,101,111,117,122,130,167],"remarkable":[2],"success":[3],"of":[4,20,49,72,103,113,124],"deep":[5],"neural":[6],"networks,":[7],"there":[8],"is":[9],"a":[10,31,53,66,79,97,137],"growing":[11],"interest":[12],"in":[13,116,136,165],"research":[14],"aimed":[15],"at":[16],"providing":[17],"clear":[18],"interpretations":[19],"their":[21],"decision-making":[22],"processes.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,92,109],"introduce":[28],"Attribution":[29],"Equilibrium,":[30],"novel":[32],"method":[33,156],"to":[34,61],"decompose":[35],"output":[36],"predictions":[37],"into":[38],"fine-grained":[39],"attributions,":[40],"balancing":[41],"positive":[42,82,104],"and":[43,64,83,96,148,163],"negative":[44,84],"relevance":[45],"for":[46,100],"clearer":[47],"visualization":[48],"evidence":[51,77],"behind":[52],"network":[54],"decision.":[55],"We":[56,74,132],"carefully":[57],"analyze":[58],"conventional":[59],"approaches":[60],"decision":[62],"explanation":[63],"present":[65],"different":[67],"perspective":[68],"on":[69],"conservation":[71],"evidence.":[73],"define":[75],"as":[78,129],"gap":[80],"between":[81],"influences":[85],"among":[86],"gradient-derived":[87],"initial":[88],"contribution":[89],"maps.":[90],"Then,":[91],"incorporate":[93],"antagonistic":[94],"elements":[95,127],"user-defined":[98],"criterion":[99],"degree":[102],"attribution":[105,159],"during":[106],"propagation.":[107],"Additionally,":[108],"consider":[110],"role":[112],"inactivated":[114],"neurons":[115],"propagation":[118],"rule,":[119],"thereby":[120],"enhancing":[121],"discernment":[123],"less":[125],"relevant":[126],"such":[128],"background.":[131],"conduct":[133],"various":[134],"assessments":[135],"verified":[138],"experimental":[139],"environment":[140],"with":[141],"PASCAL":[142],"VOC":[143],"2007,":[144],"MS":[145],"COCO":[146],"2014,":[147],"ImageNet":[149],"datasets.":[150],"The":[151],"results":[152],"demonstrate":[153],"that":[154,171],"our":[155],"outperforms":[157],"existing":[158],"methods":[160],"both":[161],"qualitatively":[162],"quantitatively":[164],"identifying":[166],"key":[168],"input":[169],"features":[170],"influence":[172],"model":[173],"decisions.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}