{"id":"https://openalex.org/W2614087582","doi":"https://doi.org/10.1145/3077257.3077271","title":"PALM","display_name":"PALM","publication_year":2017,"publication_date":"2017-05-10","ids":{"openalex":"https://openalex.org/W2614087582","doi":"https://doi.org/10.1145/3077257.3077271","mag":"2614087582"},"language":"en","primary_location":{"id":"doi:10.1145/3077257.3077271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077257.3077271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics","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/A5018480426","display_name":"Sanjay Krishnan","orcid":"https://orcid.org/0000-0001-6968-4090"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Krishnan","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049016095","display_name":"Eugene Wu","orcid":"https://orcid.org/0000-0003-4254-6688"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Wu","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9980999827384949,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8404773473739624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8314800262451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6332826614379883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6188294887542725},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.5843633413314819},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5649949908256531},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.55164635181427},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4987149238586426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4625157117843628},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.45592382550239563},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4328175485134125},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42076554894447327},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33664020895957947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09984061121940613},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09546855092048645}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8404773473739624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8314800262451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6332826614379883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6188294887542725},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.5843633413314819},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5649949908256531},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.55164635181427},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4987149238586426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4625157117843628},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.45592382550239563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4328175485134125},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42076554894447327},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33664020895957947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09984061121940613},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09546855092048645},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077257.3077271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077257.3077271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W2044849727","https://openalex.org/W2047182010","https://openalex.org/W2167541073","https://openalex.org/W2184623761","https://openalex.org/W2282821441","https://openalex.org/W2344349469","https://openalex.org/W2400382603","https://openalex.org/W2440159969","https://openalex.org/W2548122763","https://openalex.org/W2604526796","https://openalex.org/W2605016475","https://openalex.org/W2613751718"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4293151273"],"abstract_inverted_index":{"When":[0],"a":[1,6,13,37,63,83,99,103,108,112,120,149,196],"Deep":[2],"Neural":[3],"Network":[4],"makes":[5],"misprediction,":[7],"it":[8,30,52],"can":[9,133,156],"be":[10,32,134,148],"challenging":[11],"for":[12,23,190,199],"developer":[14],"to":[15,35,62,92,137,147,174,180],"understand":[16],"why.":[17],"While":[18],"there":[19],"are":[20,182],"many":[21],"models":[22],"interpretability":[24],"in":[25,65],"terms":[26],"of":[27,40,72,122,160],"predictive":[28],"features,":[29],"may":[31],"more":[33],"natural":[34],"isolate":[36],"small":[38],"set":[39,121],"training":[41,59,117,176],"examples":[42,173],"that":[43,57,85,114,124],"have":[44],"the":[45,49,55,116,126,143,154,158,161,165],"greatest":[46],"influence":[47],"on":[48],"prediction.":[50],"However,":[51,142],"is":[53,82,145,195],"often":[54],"case":[56],"every":[58],"example":[60],"contributes":[61],"prediction":[64],"some":[66],"way":[67,153],"but":[68],"with":[69],"varying":[70],"degrees":[71],"responsibility.":[73],"We":[74],"present":[75],"Partition":[76],"Aware":[77],"Local":[78],"Model":[79],"(PALM),":[80],"which":[81,194],"tool":[84],"learns":[86],"and":[87,119,169],"summarizes":[88],"this":[89],"responsibility":[90],"structure":[91,159],"aide":[93],"machine":[94],"learning":[95],"debugging.":[96],"PALM":[97,181],"approximates":[98],"complex":[100,136],"model":[101],"(e.g.,":[102],"deep":[104],"neural":[105],"network)":[106],"using":[107],"two-part":[109],"surrogate":[110],"model:":[111],"meta-model":[113,144],"partitions":[115],"data,":[118,193],"sub-models":[123,132],"approximate":[125],"patterns":[127],"within":[128],"each":[129],"partition.":[130],"These":[131],"arbitrarily":[135],"capture":[138],"intricate":[139],"local":[140],"patterns.":[141],"constrained":[146],"decision":[150],"tree.":[151],"This":[152],"user":[155],"examine":[157],"meta-model,":[162],"determine":[163],"whether":[164],"rules":[166],"match":[167],"intuition,":[168],"link":[170],"problematic":[171],"test":[172],"responsible":[175],"data":[177],"efficiently.":[178],"Queries":[179],"nearly":[183],"30x":[184],"faster":[185],"than":[186],"nearest":[187],"neighbor":[188],"queries":[189],"identifying":[191],"relevant":[192],"key":[197],"property":[198],"interactive":[200],"applications.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2017-05-19T00:00:00"}
