{"id":"https://openalex.org/W3020915576","doi":"https://doi.org/10.1145/3381833","title":"SMINT","display_name":"SMINT","publication_year":2020,"publication_date":"2020-05-03","ids":{"openalex":"https://openalex.org/W3020915576","doi":"https://doi.org/10.1145/3381833","mag":"3020915576"},"language":"en","primary_location":{"id":"doi:10.1145/3381833","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381833","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5101621379","display_name":"Huijun Wu","orcid":"https://orcid.org/0000-0002-9513-5359"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Huijun Wu","raw_affiliation_strings":["National University of Defense Technology, China and UNSW, China, UNSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China and UNSW, China, UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I170215575","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337560","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-3119-4763"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Data61, CSIRO, Garden Street, Eveleigh, NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Garden Street, Eveleigh, NSW, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082414223","display_name":"Richard Nock","orcid":"https://orcid.org/0000-0001-8384-9621"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richard Nock","raw_affiliation_strings":["Data61, CSIRO, Garden Street, Eveleigh, NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Garden Street, Eveleigh, NSW, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391888","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1568-2396"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of New South Wales, Kensington, NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Kensington, NSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014017635","display_name":"Jie Yin","orcid":"https://orcid.org/0000-0002-2063-8437"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Yin","raw_affiliation_strings":["University of Sydney, NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, NSW, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625354","display_name":"Kai L\u00fc","orcid":"https://orcid.org/0000-0002-6378-7002"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Lu","raw_affiliation_strings":["National University of Defense Technology, Kaifu, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Kaifu, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064683660","display_name":"Liming Zhu","orcid":"https://orcid.org/0000-0001-5839-3765"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liming Zhu","raw_affiliation_strings":["Data61, CSIRO and University of New South Wales, Eveleigh, NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, CSIRO and University of New South Wales, Eveleigh, NSW, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I31746571","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101621379"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77786945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.995199978351593,"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/interpretability","display_name":"Interpretability","score":0.9491754770278931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8340781331062317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689653396606445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6358656883239746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5367611050605774},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4941759407520294},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4784300923347473},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.438057541847229},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43167662620544434},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4273379147052765},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24533778429031372}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9491754770278931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340781331062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689653396606445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6358656883239746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5367611050605774},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4941759407520294},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4784300923347473},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.438057541847229},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43167662620544434},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4273379147052765},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24533778429031372},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3381833","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381833","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1918466020","https://openalex.org/W1945616565","https://openalex.org/W1967005434","https://openalex.org/W1989130580","https://openalex.org/W1992192720","https://openalex.org/W2002827932","https://openalex.org/W2011316522","https://openalex.org/W2017851434","https://openalex.org/W2027857686","https://openalex.org/W2079614894","https://openalex.org/W2084701050","https://openalex.org/W2113931274","https://openalex.org/W2117539524","https://openalex.org/W2118323718","https://openalex.org/W2126385963","https://openalex.org/W2143612262","https://openalex.org/W2158599326","https://openalex.org/W2160815625","https://openalex.org/W2163455955","https://openalex.org/W2171790913","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2282821441","https://openalex.org/W2606462007","https://openalex.org/W2616028256","https://openalex.org/W2618530766","https://openalex.org/W2670253439","https://openalex.org/W2729309190","https://openalex.org/W2764024122","https://openalex.org/W2769506033","https://openalex.org/W2774008708","https://openalex.org/W2788278286","https://openalex.org/W2793165286","https://openalex.org/W2891612330","https://openalex.org/W2895472239","https://openalex.org/W2913668833","https://openalex.org/W2962843949","https://openalex.org/W2962858109","https://openalex.org/W2963095307","https://openalex.org/W2963564844","https://openalex.org/W2963857521","https://openalex.org/W2964126074","https://openalex.org/W3000429007","https://openalex.org/W3000716014","https://openalex.org/W3101609372","https://openalex.org/W3102272852","https://openalex.org/W4297904730"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344"],"abstract_inverted_index":{"Sharing":[0],"a":[1,7,16,23,52,63,173,187,192,289],"pre-trained":[2],"machine":[3,20],"learning":[4,21],"model,":[5],"particularly":[6],"deep":[8,29],"neural":[9,30],"network":[10],"via":[11],"prediction":[12],"APIs,":[13],"is":[14,132,237,270,319],"becoming":[15],"common":[17],"practice":[18],"on":[19,281,328],"as":[22,98,139,211],"service":[24],"(MLaaS)":[25],"platforms":[26],"nowadays.":[27],"Although":[28],"networks":[31],"(DNN)":[32],"have":[33,110],"shown":[34],"remarkable":[35],"successes":[36],"in":[37,244],"many":[38,245],"tasks,":[39],"they":[40],"are":[41],"also":[42],"criticized":[43],"for":[44,104,113,145,154,325],"the":[45,80,90,122,126,159,163,166,182,201,219,227,234,241,260,263],"lack":[46,158],"of":[47,79,92,128,165,203,262,292],"interpretability":[48,95,309],"and":[49,120,214,284],"transparency.":[50],"Interpreting":[51],"shared":[53,129],"DNN":[54,105,130,155,204,279],"model":[55,228,323],"faces":[56],"two":[57,87],"additional":[58],"challenges":[59,88],"compared":[60,310],"with":[61,311],"interpreting":[62,114],"general":[64],"model.":[65],"(1)":[66],"Limited":[67],"training":[68,197,293],"data":[69,123,189,220,294],"can":[70],"be":[71,84,143],"disclosed":[72],"to":[73,118,161,180,195,199,222,225,239,258,272,277,295,321],"users.":[74],"(2)":[75],"The":[76,300],"internal":[77],"structure":[78,190,221],"models":[81,131,156,280,298],"may":[82,141],"not":[83,133,142],"available.":[85],"These":[86],"impede":[89],"application":[91],"most":[93],"existing":[94,151,312],"approaches,":[96],"such":[97,210],"saliency":[99,212],"maps":[100,213],"or":[101],"influence":[102],"functions,":[103],"models.":[106,205],"Case-based":[107],"reasoning":[108],"methods":[109,153],"been":[111],"used":[112],"decisions;":[115],"however,":[116],"how":[117],"select":[119],"organize":[121,196],"points":[124,198],"under":[125],"constraints":[127],"discussed.":[134],"Moreover,":[135,314],"simply":[136],"providing":[137],"cases":[138],"explanations":[140],"sufficient":[144],"supporting":[146],"instance":[147],"level":[148],"interpretability.":[149],"Meanwhile,":[150],"interpretation":[152,247],"generally":[157],"means":[160],"evaluate":[162],"reliability":[164,242,261],"interpretation.":[167],"In":[168],"this":[169],"article,":[170],"we":[171,315],"propose":[172,186],"framework":[174],"named":[175,254],"Shared":[176],"Model":[177],"INTerpreter":[178],"(SMINT)":[179],"address":[181,240],"above":[183,274],"limitations.":[184],"We":[185,206,231,249],"new":[188],"called":[191],"boundary":[193,235],"graph":[194,236],"mimic":[200],"predictions":[202],"integrate":[207],"local":[208,246],"features,":[209],"interpretable":[215],"input":[216],"masks,":[217],"into":[218],"help":[223],"users":[224],"infer":[226],"decision":[229],"boundaries.":[230],"show":[232,267],"that":[233,268,305,317],"able":[238,271,320],"issues":[243],"methods.":[248,313],"further":[250],"design":[251],"an":[252],"algorithm":[253],"hidden-layer":[255],"aware":[256],"p-test":[257],"measure":[259],"interpretations.":[264],"Our":[265],"experiments":[266],"SMINT":[269,306,318],"achieve":[273],"99%":[275],"fidelity":[276],"corresponding":[278],"both":[282],"MNIST":[283],"ImageNet":[285],"by":[286],"sharing":[287],"only":[288],"tiny":[290],"fraction":[291],"make":[296],"these":[297],"interpretable.":[299],"human":[301],"pilot":[302],"study":[303],"demonstrates":[304],"provides":[307],"better":[308,326],"demonstrate":[316],"assist":[322],"tuning":[324],"performance":[327],"different":[329],"user":[330],"data.":[331]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-05-13T00:00:00"}
