乐胖代购免代理版

{"id":"https://openalex.org/W3080190064","doi":"https://doi.org/10.1609/aaai.v35i13.17365","title":"A Unified Taylor Framework for Revisiting Attribution Methods","display_name":"A Unified Taylor Framework for Revisiting Attribution Methods","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3080190064","doi":"https://doi.org/10.1609/aaai.v35i13.17365","mag":"3080190064"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i13.17365","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/17365/17172","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/17365/17172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075858724","display_name":"Huiqi Deng","orcid":"https://orcid.org/0000-0002-2946-6678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huiqi Deng","raw_affiliation_strings":["Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084497683","display_name":"Na Zou","orcid":"https://orcid.org/0000-0003-1984-795X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Zou","raw_affiliation_strings":["Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I91045830","https://openalex.org/I2801613365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072191151","display_name":"Mengnan Du","orcid":"https://orcid.org/0000-0002-1614-6069"},"institutions":[{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengnan Du","raw_affiliation_strings":["Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021656787","display_name":"Weifu Chen","orcid":"https://orcid.org/0000-0002-9375-2214"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weifu Chen","raw_affiliation_strings":["Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090531329","display_name":"Guocan Feng","orcid":"https://orcid.org/0000-0002-0097-5591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guocan Feng","raw_affiliation_strings":["Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I2801613365","display_name":"Mitchell Institute","ror":"https://ror.org/03ds72003","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801613365"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":["https://openalex.org/I2801613365","https://openalex.org/I91045830"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.99,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.832635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"35","issue":"13","first_page":"11462","last_page":"11469"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9908,"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/heuristics","display_name":"Heuristics","score":0.61047024}],"concepts":[{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.83461565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417412},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.61047024},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5869971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48952636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38271603},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23431835},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.20641309},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i13.17365","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/17365/17172","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2008.09695","pdf_url":"https://arxiv.org/pdf/2008.09695","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i13.17365","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/17365/17172","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.8}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":33,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W2117539524","https://openalex.org/W2123045220","https://openalex.org/W2195388612","https://openalex.org/W2282821441","https://openalex.org/W2346578521","https://openalex.org/W2590082389","https://openalex.org/W2594633041","https://openalex.org/W2605409611","https://openalex.org/W2626639386","https://openalex.org/W2657631929","https://openalex.org/W2785760873","https://openalex.org/W2891612330","https://openalex.org/W2951231865","https://openalex.org/W2953073956","https://openalex.org/W2953462175","https://openalex.org/W2962835968","https://openalex.org/W2962858109","https://openalex.org/W2962862931","https://openalex.org/W2963510708","https://openalex.org/W2971201880","https://openalex.org/W2971301458","https://openalex.org/W2973136764","https://openalex.org/W2996061341","https://openalex.org/W2996657638","https://openalex.org/W3000716014","https://openalex.org/W3006064320","https://openalex.org/W3012234327","https://openalex.org/W3101609372","https://openalex.org/W4287907717","https://openalex.org/W4293861706","https://openalex.org/W4298061300"],"related_works":["https://openalex.org/W4306674287","https://openalex.org/W4306321456","https://openalex.org/W4286629047","https://openalex.org/W4224009465","https://openalex.org/W2961085424","https://openalex.org/W2905364337","https://openalex.org/W2884576438","https://openalex.org/W2034983601","https://openalex.org/W1756885467","https://openalex.org/W1522517976"],"abstract_inverted_index":{"Attribution":[0],"methods":[1,28,79,90],"have":[2],"been":[3],"developed":[4],"to":[5,23],"understand":[6],"the":[7,63,81,88,108,127,136,140,146],"decision":[8],"making":[9],"process":[10],"of":[11,93,142],"machine":[12],"learning":[13],"models,":[14],"especially":[15],"deep":[16],"neural":[17],"networks,":[18],"by":[19,145],"assigning":[20],"importance":[21],"scores":[22],"individual":[24],"features.":[25],"Existing":[26],"attribution":[27,50,72,78,89,106,110,137,147],"often":[29],"built":[30],"upon":[31],"empirical":[32],"intuitions":[33],"and":[34,41,59,74,96,119,130,139],"heuristics.":[35],"There":[36],"still":[37],"lacks":[38],"a":[39,70,104,132],"general":[40],"theoretical":[42],"framework":[43,73],"that":[44],"not":[45],"only":[46],"can":[47],"unify":[48],"these":[49],"methods,":[51],"but":[52],"also":[53],"theoretically":[54],"reveal":[55,131],"their":[56],"rationales,":[57],"fidelity,":[58,95],"limitations.":[60],"To":[61],"bridge":[62],"gap,":[64],"in":[65,91,107],"this":[66],"paper,":[67],"we":[68,86,124],"propose":[69],"Taylor":[71,109,128],"reformulate":[75],"seven":[76],"mainstream":[77],"into":[80],"framework.":[82],"Based":[83],"on":[84,151],"reformulations,":[85,129],"analyze":[87],"terms":[92],"rationale,":[94],"limitation.":[97],"Moreover,":[98],"We":[99],"establish":[100],"three":[101],"principles":[102,143],"for":[103],"good":[105],"framework,":[111],"i.e.,":[112],"low":[113],"approximation":[114],"error,":[115],"correct":[116],"contribution":[117],"assignment,":[118],"unbiased":[120],"baseline":[121],"selection.":[122],"Finally,":[123],"empirically":[125],"validate":[126],"positive":[133],"correlation":[134],"between":[135],"performance":[138],"number":[141],"followed":[144],"method":[148],"via":[149],"benchmarking":[150],"real-world":[152],"datasets.":[153]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3080190064","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-01-19T10:56:04.868079","created_date":"2020-09-01"}