{"id":"https://openalex.org/W4288096733","doi":"https://doi.org/10.1145/3514094.3534148","title":"DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations","display_name":"DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4288096733","doi":"https://doi.org/10.1145/3514094.3534148"},"language":"en","primary_location":{"id":"doi:10.1145/3514094.3534148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3514094.3534148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3514094.3534148","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3514094.3534148","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082318434","display_name":"Yiwei Lyu","orcid":"https://orcid.org/0000-0002-3882-4246"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiwei Lyu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086233510","display_name":"Paul Pu Liang","orcid":"https://orcid.org/0000-0001-7768-3610"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Pu Liang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016245363","display_name":"Zihao Deng","orcid":"https://orcid.org/0000-0001-9392-2335"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihao Deng","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071983998","display_name":"Ruslan Salakhutdinov","orcid":"https://orcid.org/0000-0002-3752-2756"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruslan Salakhutdinov","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081398601","display_name":"Louis\u2010Philippe Morency","orcid":"https://orcid.org/0000-0001-6376-7696"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis-Philippe Morency","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"467"},"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/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7950907945632935},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.7013046741485596},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6574856042861938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635077714920044},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5399385094642639},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5059139132499695},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5035795569419861},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4902246594429016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4507165849208832},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34478959441185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950907945632935},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.7013046741485596},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6574856042861938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635077714920044},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5399385094642639},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5059139132499695},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5035795569419861},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4902246594429016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4507165849208832},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34478959441185},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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:10.1145/3514094.3534148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3514094.3534148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3514094.3534148","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3514094.3534148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3514094.3534148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3514094.3534148","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3550935145","display_name":null,"funder_award_id":"N000141812861","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4236934245","display_name":null,"funder_award_id":"#R01MH125740 and #R01MH096951","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4340203621","display_name":"CAREER: Learning Nonverbal Signatures","funder_award_id":"1750439","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G574185058","display_name":"SCH: INT: Collaborative Research: Dyadic Behavior Informatics for Psychotherapy Process and Outcome","funder_award_id":"1722822","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7368240054","display_name":null,"funder_award_id":"1722822 and 1750439","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7749134747","display_name":null,"funder_award_id":"U01MH116925","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G946752494","display_name":null,"funder_award_id":"IIS1763562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337968","display_name":"Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288096733.pdf","grobid_xml":"https://content.openalex.org/works/W4288096733.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1988085234","https://openalex.org/W2089150756","https://openalex.org/W2164378405","https://openalex.org/W2295158670","https://openalex.org/W2506968004","https://openalex.org/W2560730294","https://openalex.org/W2619383789","https://openalex.org/W2767249564","https://openalex.org/W2796128760","https://openalex.org/W2883409523","https://openalex.org/W2891187402","https://openalex.org/W2899448251","https://openalex.org/W2945976633","https://openalex.org/W2962772676","https://openalex.org/W2963260436","https://openalex.org/W2963349562","https://openalex.org/W2963609017","https://openalex.org/W2963749936","https://openalex.org/W2963847595","https://openalex.org/W2964118342","https://openalex.org/W2965180676","https://openalex.org/W3012366945","https://openalex.org/W3013149459","https://openalex.org/W3034837210","https://openalex.org/W3100801259","https://openalex.org/W3105484484","https://openalex.org/W3106784008","https://openalex.org/W3197394194","https://openalex.org/W3204047821","https://openalex.org/W4206060008","https://openalex.org/W6695661434","https://openalex.org/W6755754581"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2199184806","https://openalex.org/W127837312","https://openalex.org/W2922283411","https://openalex.org/W4384789578","https://openalex.org/W4387421317"],"abstract_inverted_index":{"The":[0],"ability":[1],"for":[2,201],"a":[3,38,81,159,185,193],"human":[4],"to":[5,19,60],"understand":[6],"an":[7],"Artificial":[8],"Intelligence":[9],"(AI)":[10],"model's":[11],"decision-making":[12],"process":[13],"is":[14],"critical":[15],"in":[16,28,33,63,76,91],"enabling":[17],"stakeholders":[18],"visualize":[20],"model":[21,24,126,154,189],"behavior,":[22,190],"perform":[23],"debugging,":[25],"promote":[26],"trust":[27],"AI":[29,47,52,62],"models,":[30],"and":[31,45,93,105,121,132,142,156,167,191,197],"assist":[32],"collaborative":[34],"human-AI":[35],"decision-making.":[36],"As":[37],"result,":[39],"the":[40,74],"research":[41],"fields":[42],"of":[43,83,145,162,181,188],"interpretable":[44],"explainable":[46],"have":[48,110],"gained":[49],"traction":[50],"within":[51],"communities":[53],"as":[54,56,101],"well":[55],"interdisciplinary":[57],"scientists":[58],"seeking":[59],"apply":[61],"their":[64],"subject":[65],"areas.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,171],"focus":[71],"on":[72,164],"advancing":[73],"state-of-the-art":[75],"interpreting":[77],"multimodal":[78,133,146,169,182],"models":[79,109,147,183,200],"-":[80],"class":[82],"machine":[84],"learning":[85],"methods":[86],"that":[87,173],"tackle":[88],"core":[89],"challenges":[90],"representing":[92],"capturing":[94],"interactions":[95,134],"between":[96],"heterogeneous":[97],"data":[98],"sources":[99],"such":[100],"images,":[102],"text,":[103],"audio,":[104],"time-series":[106],"data.":[107],"Multimodal":[108],"proliferated":[111],"numerous":[112],"real-world":[113,168,202],"applications":[114],"across":[115,151],"healthcare,":[116],"robotics,":[117],"multimedia,":[118],"affective":[119],"computing,":[120],"human-computer":[122],"interaction.":[123],"By":[124],"performing":[125],"disentanglement":[127],"into":[128],"unimodal":[129],"contributions":[130],"(UC)":[131],"(MI),":[135],"our":[136],"proposed":[137],"approach,":[138],"DIME,":[139],"enables":[140],"accurate":[141,176],"fine-grained":[143],"analysis":[144],"while":[148],"maintaining":[149],"generality":[150],"arbitrary":[152],"modalities,":[153],"architectures,":[155],"tasks.":[157],"Through":[158],"comprehensive":[160],"suite":[161],"experiments":[163],"both":[165],"synthetic":[166],"tasks,":[170],"show":[172],"DIME":[174],"generates":[175],"disentangled":[177],"explanations,":[178],"helps":[179],"users":[180],"gain":[184],"deeper":[186],"understanding":[187],"presents":[192],"step":[194],"towards":[195],"debugging":[196],"improving":[198],"these":[199],"deployment.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}