{"id":"https://openalex.org/W2962824341","doi":"https://doi.org/10.1145/3219819.3220063","title":"Exact and Consistent Interpretation for Piecewise Linear Neural Networks","display_name":"Exact and Consistent Interpretation for Piecewise Linear Neural Networks","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2962824341","doi":"https://doi.org/10.1145/3219819.3220063","mag":"2962824341"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3220063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007946897","display_name":"Lingyang Chu","orcid":"https://orcid.org/0000-0002-8937-1750"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lingyang Chu","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079721352","display_name":"Hu Xia","orcid":"https://orcid.org/0000-0001-9851-666X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029673876","display_name":"Juhua Hu","orcid":"https://orcid.org/0000-0001-5869-3549"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Juhua Hu","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025153128","display_name":"Lanjun Wang","orcid":"https://orcid.org/0000-0002-7696-5330"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanjun Wang","raw_affiliation_strings":["Huawei Technology Co. Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology Co. Ltd, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["JD.com &amp;Simon Fraser University, Beijing/Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com &amp;Simon Fraser University, Beijing/Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1244","last_page":"1253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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":0.9934999942779541,"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":0.9297161102294922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948593854904175},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6849719285964966},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6734591126441956},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.6135076880455017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5936044454574585},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5865358114242554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5297497510910034},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5282586812973022},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5253831148147583},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5092931985855103},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.41161292791366577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1958521604537964}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9297161102294922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948593854904175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6849719285964966},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6734591126441956},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.6135076880455017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5936044454574585},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5865358114242554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5297497510910034},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5282586812973022},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5253831148147583},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5092931985855103},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.41161292791366577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1958521604537964},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3219819.3220063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.tacoma.uw.edu:tech_pub-1199","is_oa":false,"landing_page_url":"https://digitalcommons.tacoma.uw.edu/tech_pub/200","pdf_url":null,"source":{"id":"https://openalex.org/S4306400628","display_name":"University of Washington Tacoma Digital Commons (University of Washington Tacoma)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210150356","host_organization_name":"University of Washington Tacoma","host_organization_lineage":["https://openalex.org/I4210150356"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Engineering and Technology Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W92982764","https://openalex.org/W1506806321","https://openalex.org/W1601924930","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1821462560","https://openalex.org/W1825675169","https://openalex.org/W1915485278","https://openalex.org/W1981530182","https://openalex.org/W2050946712","https://openalex.org/W2055427156","https://openalex.org/W2093522043","https://openalex.org/W2113606819","https://openalex.org/W2116216716","https://openalex.org/W2134797427","https://openalex.org/W2156387975","https://openalex.org/W2161388792","https://openalex.org/W2162670686","https://openalex.org/W2187281534","https://openalex.org/W2191167248","https://openalex.org/W2221625691","https://openalex.org/W2282821441","https://openalex.org/W2294059674","https://openalex.org/W2295107390","https://openalex.org/W2493343568","https://openalex.org/W2516809705","https://openalex.org/W2596625124","https://openalex.org/W2605225344","https://openalex.org/W2605409611","https://openalex.org/W2612938778","https://openalex.org/W2617799811","https://openalex.org/W2618530766","https://openalex.org/W2626639386","https://openalex.org/W2750384547","https://openalex.org/W2766047647","https://openalex.org/W2766912318","https://openalex.org/W2769421449","https://openalex.org/W2769943106","https://openalex.org/W2919115771","https://openalex.org/W2949197630","https://openalex.org/W2949780682","https://openalex.org/W2952881492","https://openalex.org/W2962851944","https://openalex.org/W2963260436","https://openalex.org/W2963733622","https://openalex.org/W2963989815","https://openalex.org/W2964244352","https://openalex.org/W3101609372"],"related_works":["https://openalex.org/W4319993887","https://openalex.org/W4297789176","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W2768346313","https://openalex.org/W2963249138","https://openalex.org/W3208509670","https://openalex.org/W2998594699"],"abstract_inverted_index":{"Strong":[0],"intelligent":[1],"machines":[2,41],"powered":[3],"by":[4,52,128],"deep":[5],"neural":[6,50],"networks":[7],"are":[8],"increasingly":[9],"deployed":[10],"as":[11,21],"black":[12],"boxes":[13],"to":[14,37,91,110,139],"make":[15,42],"decisions":[16],"in":[17],"risk-sensitive":[18],"domains,":[19],"such":[20,40],"finance":[22],"and":[23,29,74,94,145,160,169],"medical.":[24],"To":[25],"reduce":[26],"potential":[27],"risk":[28],"build":[30],"trust":[31],"with":[32],"users,":[33],"it":[34],"is":[35,109],"critical":[36],"interpret":[38,47,124],"how":[39],"their":[43,77],"decisions.":[44],"Existing":[45],"works":[46],"a":[48,69,113,116],"pre-trained":[49,57],"network":[51],"analyzing":[53],"hidden":[54],"neurons,":[55],"mimicking":[56],"models":[58],"or":[59],"approximating":[60],"local":[61],"predictions.":[62],"However,":[63],"these":[64],"methods":[65],"do":[66],"not":[67],"provide":[68],"guarantee":[70],"on":[71,148,157],"the":[72,98,129,141,150,167],"exactness":[73,168],"consistency":[75,170],"of":[76,100,120,143,152,171],"interpretations.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"an":[84],"elegant":[85],"closed":[86],"form":[87],"solution":[88],"named":[89],"$OpenBox$":[90,138],"compute":[92],"exact":[93],"consistent":[95],"interpretations":[96],"for":[97],"family":[99],"Piecewise":[101],"Linear":[102],"Neural":[103],"Networks":[104],"(PLNN).":[105],"The":[106,154],"major":[107],"idea":[108],"first":[111],"transform":[112],"PLNN":[114],"into":[115],"mathematically":[117],"equivalent":[118],"set":[119],"linear":[121,126],"classifiers,":[122],"then":[123],"each":[125],"classifier":[127],"features":[130],"that":[131],"dominate":[132],"its":[133],"prediction.":[134],"We":[135],"further":[136],"apply":[137],"demonstrate":[140,166],"effectiveness":[142],"non-negative":[144],"sparse":[146],"constraints":[147],"improving":[149],"interpretability":[151],"PLNNs.":[153],"extensive":[155],"experiments":[156],"both":[158],"synthetic":[159],"real":[161],"world":[162],"data":[163],"sets":[164],"clearly":[165],"our":[172],"interpretation.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
