{"id":"https://openalex.org/W3198179172","doi":"https://doi.org/10.1109/tvcg.2021.3114858","title":"NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks","display_name":"NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3198179172","doi":"https://doi.org/10.1109/tvcg.2021.3114858","mag":"3198179172","pmid":"https://pubmed.ncbi.nlm.nih.gov/34587079"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3114858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114858","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.12931","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020702008","display_name":"Haekyu Park","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haekyu Park","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: haekyu@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: haekyu@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036502813","display_name":"Nilaksh Das","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nilaksh Das","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: nilakshdas@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: nilakshdas@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057757200","display_name":"Rahul Duggal","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Duggal","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: rahulduggal@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: rahulduggal@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080665667","display_name":"Austin P. Wright","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Austin P. Wright","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: apwright@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: apwright@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044691513","display_name":"Omar Shaikh","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Shaikh","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: oshaikh@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: oshaikh@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034842879","display_name":"Fred Hohman","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Hohman","raw_affiliation_strings":["Apple, United States","[Georgia Institute of Technology (e-mail: fredhohman@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Apple, United States","institution_ids":["https://openalex.org/I4210153776"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: fredhohman@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Polo Chau","raw_affiliation_strings":["Georgia Institute of Technology, United States","[Georgia Institute of Technology (e-mail: polo@gatech.edu)]"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology (e-mail: polo@gatech.edu)]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5020702008"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.1456222,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75854079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"1","first_page":"813","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.982699990272522,"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/computer-science","display_name":"Computer science","score":0.729133665561676},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7218533158302307},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6359681487083435},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5425084829330444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5367089509963989},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4488992691040039},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4409276247024536},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.4300631880760193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42659521102905273},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41196587681770325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3780789375305176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13896971940994263},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11834537982940674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729133665561676},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7218533158302307},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6359681487083435},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5425084829330444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5367089509963989},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4488992691040039},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4409276247024536},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.4300631880760193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42659521102905273},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41196587681770325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3780789375305176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13896971940994263},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11834537982940674},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tvcg.2021.3114858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114858","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:34587079","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34587079","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2108.12931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12931","pdf_url":"https://arxiv.org/pdf/2108.12931","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3198179172","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2108.12931.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2108.12931","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.12931","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.12931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12931","pdf_url":"https://arxiv.org/pdf/2108.12931","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"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/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198179172.pdf","grobid_xml":"https://content.openalex.org/works/W3198179172.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1548500763","https://openalex.org/W1686810756","https://openalex.org/W1736726159","https://openalex.org/W1825675169","https://openalex.org/W1996901117","https://openalex.org/W2055906546","https://openalex.org/W2076462394","https://openalex.org/W2091432990","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2123427850","https://openalex.org/W2132069633","https://openalex.org/W2155653793","https://openalex.org/W2159426623","https://openalex.org/W2166128942","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2253993278","https://openalex.org/W2561981131","https://openalex.org/W2766196653","https://openalex.org/W2784499877","https://openalex.org/W2786672974","https://openalex.org/W2792641098","https://openalex.org/W2794557536","https://openalex.org/W2884367402","https://openalex.org/W2897083899","https://openalex.org/W2898422183","https://openalex.org/W2904759072","https://openalex.org/W2950124505","https://openalex.org/W2950577311","https://openalex.org/W2950967261","https://openalex.org/W2962756421","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963000224","https://openalex.org/W2963363373","https://openalex.org/W2963382180","https://openalex.org/W2963464195","https://openalex.org/W2963483561","https://openalex.org/W2963610729","https://openalex.org/W2963739978","https://openalex.org/W2969224142","https://openalex.org/W2969980980","https://openalex.org/W2970030610","https://openalex.org/W2988916019","https://openalex.org/W2990525501","https://openalex.org/W3003866816","https://openalex.org/W3010694149","https://openalex.org/W3016017068","https://openalex.org/W3029455779","https://openalex.org/W3082665562","https://openalex.org/W3083537594","https://openalex.org/W3092242892","https://openalex.org/W3094334721","https://openalex.org/W3098576902","https://openalex.org/W3098949126","https://openalex.org/W3128529673","https://openalex.org/W4253525579","https://openalex.org/W6629956336","https://openalex.org/W6632780167","https://openalex.org/W6636510571","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6677995690","https://openalex.org/W6680171035","https://openalex.org/W6683333316","https://openalex.org/W6685133223","https://openalex.org/W6691820373","https://openalex.org/W6717255582","https://openalex.org/W6725543821","https://openalex.org/W6740483536","https://openalex.org/W6748816842","https://openalex.org/W6749879876","https://openalex.org/W6750391026","https://openalex.org/W6755681954","https://openalex.org/W6757123339","https://openalex.org/W6764462969","https://openalex.org/W6766511095","https://openalex.org/W6770508256","https://openalex.org/W6775903316","https://openalex.org/W6810722062"],"related_works":["https://openalex.org/W2253993278","https://openalex.org/W2900426157","https://openalex.org/W2586292581","https://openalex.org/W2963464195","https://openalex.org/W3091240018","https://openalex.org/W2798657008","https://openalex.org/W3021772529","https://openalex.org/W3211149381","https://openalex.org/W2808386529","https://openalex.org/W2990810070","https://openalex.org/W3135048401","https://openalex.org/W2312417324","https://openalex.org/W1978412235","https://openalex.org/W2977464035","https://openalex.org/W2128367023","https://openalex.org/W3162241267","https://openalex.org/W2083640224","https://openalex.org/W2989749606","https://openalex.org/W2943083682","https://openalex.org/W1555958546"],"abstract_inverted_index":{"Existing":[0],"research":[1],"on":[2,11,85,116],"making":[3],"sense":[4],"of":[5,22,89,100,157,160,250],"deep":[6],"neural":[7,45],"networks":[8],"often":[9,118],"focuses":[10],"neuron-level":[12],"interpretation,":[13],"which":[14],"may":[15],"not":[16],"adequately":[17],"capture":[18],"the":[19,55,70,86,90,110,133,142,155,170,182,187,193],"bigger":[20],"picture":[21],"how":[23,60,117,238],"concepts":[24,42,68,91,114,188],"are":[25,103,129],"collectively":[26],"encoded":[27],"by":[28,44,93],"multiple":[29],"neurons.":[30],"We":[31],"present":[32],"NeuroCartography,":[33],"an":[34],"interactive":[35],"system":[36],"that":[37,53,221,227],"scalably":[38],"summarizes":[39],"and":[40,50,58,69,105,126,189,204,208,243,252,262],"visualizes":[41],"learned":[43],"networks.":[46],"It":[47],"automatically":[48],"discovers":[49,224],"groups":[51,63,82,226],"neurons":[52,83,94,96,122,158],"detect":[54],"same":[56],"concepts,":[57],"describes":[59],"such":[61,168,246],"neuron":[62,80,107,148,206,225],"interact":[64],"to":[65,137,144,154,165,185,196],"form":[66],"higher-level":[67],"subsequent":[71],"predictions.":[72],"NeuroCartography":[73,163,256],"introduces":[74],"two":[75],"scalable":[76,139,183],"summarization":[77],"techniques:":[78],"(1)":[79],"clustering":[81],"based":[84,115],"semantic":[87],"similarity":[88],"detected":[92],"(e.g.,":[95,121],"detecting":[97,123],"\"dog":[98,124,127],"faces\"":[99],"different":[101],"breeds":[102],"grouped);":[104],"(2)":[106],"embedding":[108,134],"encodes":[109],"associations":[111,195],"between":[112],"related":[113,251],"they":[119],"co-occur":[120],"face\"":[125],"tail\"":[128],"placed":[130],"closer":[131],"in":[132,151,200,211,259],"space).":[135],"Key":[136],"our":[138,222,239],"techniques":[140,184],"is":[141,263],"ability":[143],"efficiently":[145],"compute":[146],"all":[147],"pairs'":[149],"relationships,":[150,191],"time":[152],"linear":[153],"number":[156],"instead":[159],"quadratic":[161],"time.":[162],"scales":[164],"large":[166],"data,":[167],"as":[169,247],"ImageNet":[171],"dataset":[172],"with":[173],"1.2M":[174],"images.":[175],"The":[176,255],"system's":[177],"tightly":[178],"coordinated":[179],"views":[180],"integrate":[181],"visualize":[186],"their":[190,209],"projecting":[192],"concept":[194,248],"a":[197,215],"2D":[198],"space":[199],"Neuron":[201],"Projection":[202],"View,":[203],"summarizing":[205],"clusters":[207],"relationships":[210],"Graph":[212],"View.":[213],"Through":[214],"large-scale":[216],"human":[217],"evaluation,":[218],"we":[219,236],"demonstrate":[220],"technique":[223],"represent":[228],"coherent,":[229],"human-meaningful":[230],"concepts.":[231,254],"And":[232],"through":[233],"usage":[234],"scenarios,":[235],"describe":[237],"approaches":[240],"enable":[241],"interesting":[242],"surprising":[244],"discoveries,":[245],"cascades":[249],"isolated":[253],"visualization":[257],"runs":[258],"modern":[260],"browsers":[261],"open-sourced.":[264]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
