{"id":"https://openalex.org/W4410852766","doi":"https://doi.org/10.1109/tnnls.2025.3570692","title":"Toward Faithful Neural Network Intrinsic Interpretation With Shapley Additive Self-Attribution","display_name":"Toward Faithful Neural Network Intrinsic Interpretation With Shapley Additive Self-Attribution","publication_year":2025,"publication_date":"2025-05-29","ids":{"openalex":"https://openalex.org/W4410852766","doi":"https://doi.org/10.1109/tnnls.2025.3570692","pmid":"https://pubmed.ncbi.nlm.nih.gov/40440134"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3570692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3570692","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5046835504","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-4763-6060"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4763-6060","affiliations":[{"raw_affiliation_string":"Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4570-643X","affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6016-6465","affiliations":[{"raw_affiliation_string":"Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046835504"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96119664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"36","issue":"9","first_page":"16294","last_page":"16308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9771999716758728,"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/T10320","display_name":"Neural Networks and Applications","score":0.9771999716758728,"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/interpretation","display_name":"Interpretation (philosophy)","score":0.7392281293869019},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.7076217532157898},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.44477391242980957},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.38525766134262085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34259968996047974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2791154682636261}],"concepts":[{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7392281293869019},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.7076217532157898},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.44477391242980957},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.38525766134262085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34259968996047974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2791154682636261},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3570692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3570692","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40440134","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40440134","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1782397203","display_name":null,"funder_award_id":"92370204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4036304947","display_name":null,"funder_award_id":"62306255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7013467707","display_name":null,"funder_award_id":"2024A1515011839","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320326667","display_name":"Bureau of Education of Guangzhou Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2125621954","https://openalex.org/W2129888542","https://openalex.org/W2295107390","https://openalex.org/W2487898712","https://openalex.org/W2510508396","https://openalex.org/W2516809705","https://openalex.org/W2604662567","https://openalex.org/W2765793020","https://openalex.org/W2765813195","https://openalex.org/W2800017313","https://openalex.org/W2898085636","https://openalex.org/W2945976633","https://openalex.org/W2950768109","https://openalex.org/W2964449086","https://openalex.org/W2970726176","https://openalex.org/W2994881943","https://openalex.org/W2999615587","https://openalex.org/W3024683329","https://openalex.org/W3098916769","https://openalex.org/W3107975486","https://openalex.org/W3132191748","https://openalex.org/W3134509515","https://openalex.org/W3139002032","https://openalex.org/W3139236016","https://openalex.org/W3146613606","https://openalex.org/W3149252920","https://openalex.org/W3168767448","https://openalex.org/W3177828909","https://openalex.org/W3191161603","https://openalex.org/W3199121212","https://openalex.org/W3207298831","https://openalex.org/W3215430231","https://openalex.org/W3215928733","https://openalex.org/W4224311926","https://openalex.org/W4224314826","https://openalex.org/W4285606919","https://openalex.org/W4319300579","https://openalex.org/W4382239763","https://openalex.org/W4385377038","https://openalex.org/W4386065251","https://openalex.org/W4386075969","https://openalex.org/W4391929975","https://openalex.org/W4394593208","https://openalex.org/W4403792193"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2035546108","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2081523413","https://openalex.org/W2093353283","https://openalex.org/W2010504407","https://openalex.org/W2005469878"],"abstract_inverted_index":{"Self-interpreting":[0],"neural":[1,85,200],"networks":[2],"have":[3],"attracted":[4],"significant":[5],"attention":[6],"from":[7,25],"the":[8,18,56,66,69,124,130,189,192,197],"research":[9],"community.":[10],"Along":[11],"this":[12,62,76,195],"line,":[13],"extensive":[14,137],"works":[15,60],"inherently":[16],"share":[17],"intuitive":[19],"principle":[20],"of":[21,58,68,191],"linear":[22],"contribution":[23],"aggregation":[24],"diversified":[26],"perspectives,":[27],"while":[28],"often:":[29],"1)":[30],"lacking":[31],"a":[32,48,80,178],"solid":[33],"theoretical":[34],"foundation":[35],"ensuring":[36],"genuine":[37],"interpretability":[38],"and":[39,64,116,158,181],"2)":[40],"compromising":[41],"model":[42],"expressiveness.":[43],"In":[44,166],"response,":[45],"we":[46,78,120,135],"propose":[47,79],"generic":[49],"additive":[50,83],"self-attribution":[51,126,176],"(ASA)":[52],"framework":[53],"to":[54,98,129],"encapsulate":[55],"characteristics":[57],"various":[59],"in":[61,75,156],"field":[63],"underscore":[65],"absence":[67],"Shapley":[70,82,132,206],"value":[71,101,127],"attribution.":[72,207],"To":[73,188],"fill":[74],"gap,":[77],"novel":[81],"self-attributing":[84,154],"network":[86,201],"(SASANet).":[87],"SASANet":[88],"models":[89,155],"meaningful":[90],"outputs":[91],"for":[92,103,184],"arbitrary-numbered":[93],"observable":[94],"features,":[95],"naturally":[96],"leading":[97],"an":[99,107],"unapproximated":[100],"function":[102],"Shapely":[104],"value.":[105],"Designing":[106],"intermediate":[108,125],"sequential":[109],"schema":[110],"based":[111],"on":[112,139],"marginal":[113],"contributions":[114],"(MCs)":[115],"internal":[117],"distillation":[118],"procedure,":[119],"theoretically":[121],"prove":[122],"that":[123,203],"converging":[128],"output's":[131],"values.":[133],"Finally,":[134],"conduct":[136],"experiments":[138],"multiple":[140],"public":[141],"datasets.":[142],"The":[143],"experimental":[144],"results":[145],"clearly":[146],"demonstrate":[147],"SASANet,":[148],"being":[149],"highly":[150],"interpretable,":[151],"outperforms":[152],"existing":[153],"performance":[157],"is":[159,196,210],"comparable":[160],"with":[161,169],"commonly":[162],"adopted":[163],"closed-box":[164],"models.":[165],"addition,":[167],"compared":[168],"adopting":[170],"post":[171],"hoc":[172],"interpretation":[173,183],"methods,":[174],"SASANet's":[175],"provides":[177],"more":[179],"accurate":[180],"efficient":[182],"its":[185],"own":[186],"predictions.":[187],"best":[190],"authors'":[193],"knowledge,":[194],"first":[198],"self-interpreting":[199],"structure":[202],"achieves":[204],"modelwise":[205],"Our":[208],"code":[209],"available":[211],"at:":[212],"https://anonymous.4open.science/r/SASANet-B343.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
