{"id":"https://openalex.org/W2966651006","doi":"https://doi.org/10.1109/tvcg.2019.2934261","title":"Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures","display_name":"Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures","publication_year":2019,"publication_date":"2019-09-10","ids":{"openalex":"https://openalex.org/W2966651006","doi":"https://doi.org/10.1109/tvcg.2019.2934261","mag":"2966651006","pmid":"https://pubmed.ncbi.nlm.nih.gov/31502978"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2019.2934261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934261","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":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.00387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033915638","display_name":"Dylan Cashman","orcid":"https://orcid.org/0000-0003-4853-5701"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dylan Cashman","raw_affiliation_strings":["Tufts University, USA","Tufts University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Tufts University","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053097987","display_name":"Adam Perer","orcid":"https://orcid.org/0000-0002-8369-3847"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]},{"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":"Adam Perer","raw_affiliation_strings":["Carnegie Mellon University, USA","Tufts University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Tufts University","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089451178","display_name":"Remco Chang","orcid":"https://orcid.org/0000-0002-6484-6430"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]},{"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":"Remco Chang","raw_affiliation_strings":["Tufts University, USA","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084459196","display_name":"Hendrik Strobelt","orcid":"https://orcid.org/0000-0002-8995-1683"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hendrik Strobelt","raw_affiliation_strings":["MIT IBM Watson AI Lab, USA","IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT IBM Watson AI Lab, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3413,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60905019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"1","first_page":"863","last_page":"873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9945999979972839,"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":0.9915000200271606,"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":0.8384560346603394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6430688500404358},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5773966908454895},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5667235255241394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5540562868118286},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5484566688537598},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.44494348764419556},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4268772602081299},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42585426568984985},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4169308841228485},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33976346254348755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31043732166290283},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1229192316532135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384560346603394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430688500404358},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5773966908454895},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5667235255241394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5540562868118286},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5484566688537598},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.44494348764419556},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4268772602081299},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42585426568984985},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4169308841228485},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33976346254348755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31043732166290283},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1229192316532135},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tvcg.2019.2934261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934261","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:31502978","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31502978","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:1908.00387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00387","pdf_url":"https://arxiv.org/pdf/1908.00387","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:2966651006","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1908.00387","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.1908.00387","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.00387","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.00387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00387","pdf_url":"https://arxiv.org/pdf/1908.00387","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G583798692","display_name":null,"funder_award_id":"FA8750-17-2-0107","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966651006.pdf"},"referenced_works_count":93,"referenced_works":["https://openalex.org/W73593153","https://openalex.org/W1514535095","https://openalex.org/W1536680647","https://openalex.org/W1540016502","https://openalex.org/W1581066146","https://openalex.org/W1647221522","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W1964473154","https://openalex.org/W1966373265","https://openalex.org/W1974584593","https://openalex.org/W1977810187","https://openalex.org/W2016053056","https://openalex.org/W2025394193","https://openalex.org/W2080417696","https://openalex.org/W2097117768","https://openalex.org/W2102539288","https://openalex.org/W2102605133","https://openalex.org/W2112364454","https://openalex.org/W2131241448","https://openalex.org/W2146199513","https://openalex.org/W2149482703","https://openalex.org/W2163605009","https://openalex.org/W2164223342","https://openalex.org/W2169056757","https://openalex.org/W2189149359","https://openalex.org/W2194775991","https://openalex.org/W2265846598","https://openalex.org/W2308045930","https://openalex.org/W2343061342","https://openalex.org/W2439568532","https://openalex.org/W2440722286","https://openalex.org/W2463565445","https://openalex.org/W2553303224","https://openalex.org/W2556833785","https://openalex.org/W2607223307","https://openalex.org/W2608595939","https://openalex.org/W2618530766","https://openalex.org/W2736941579","https://openalex.org/W2751298778","https://openalex.org/W2751305043","https://openalex.org/W2751642492","https://openalex.org/W2752194699","https://openalex.org/W2752332392","https://openalex.org/W2752985888","https://openalex.org/W2753676244","https://openalex.org/W2753713840","https://openalex.org/W2788853733","https://openalex.org/W2792641098","https://openalex.org/W2810075754","https://openalex.org/W2884367402","https://openalex.org/W2885311373","https://openalex.org/W2888723145","https://openalex.org/W2891612330","https://openalex.org/W2892051885","https://openalex.org/W2895242880","https://openalex.org/W2896897713","https://openalex.org/W2909239562","https://openalex.org/W2949973186","https://openalex.org/W2960217013","https://openalex.org/W2962835968","https://openalex.org/W2962851944","https://openalex.org/W2962865691","https://openalex.org/W2963123635","https://openalex.org/W2963214037","https://openalex.org/W2963733622","https://openalex.org/W2965658867","https://openalex.org/W3101819830","https://openalex.org/W3118608800","https://openalex.org/W6630875275","https://openalex.org/W6632100814","https://openalex.org/W6634833660","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6639204139","https://openalex.org/W6675354045","https://openalex.org/W6678911119","https://openalex.org/W6685133223","https://openalex.org/W6687141316","https://openalex.org/W6693505360","https://openalex.org/W6719057275","https://openalex.org/W6728458142","https://openalex.org/W6729972426","https://openalex.org/W6736610077","https://openalex.org/W6741414320","https://openalex.org/W6747806236","https://openalex.org/W6747997820","https://openalex.org/W6748587240","https://openalex.org/W6752515464","https://openalex.org/W6753673476","https://openalex.org/W6754669440","https://openalex.org/W6763418222","https://openalex.org/W6823799657"],"related_works":["https://openalex.org/W2902101644","https://openalex.org/W3013913358","https://openalex.org/W3049654111","https://openalex.org/W2888650943","https://openalex.org/W2912291639","https://openalex.org/W2752840441","https://openalex.org/W292322094","https://openalex.org/W2440722286","https://openalex.org/W2519515346","https://openalex.org/W2783962058","https://openalex.org/W3117131842","https://openalex.org/W2035482656","https://openalex.org/W2063224000","https://openalex.org/W2667607215","https://openalex.org/W2171192325","https://openalex.org/W3101330584","https://openalex.org/W2115084472","https://openalex.org/W2950847613","https://openalex.org/W2574559610","https://openalex.org/W2066744337"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,12,75,103,125,135,138,145,163,210],"deep":[3,94,197,218],"learning":[4,95,198,219],"models":[5,176,183,199],"is":[6,48,66],"dependent":[7],"on":[8,55,148],"the":[9,63,109,112,140,151,161,208,247],"precise":[10],"configuration":[11],"many":[13],"layers":[14,168],"and":[15,50,61,78,100,114,128,156,173,202,242],"parameters.":[16],"However,":[17],"there":[18],"are":[19],"currently":[20],"few":[21],"systematic":[22],"guidelines":[23],"for":[24,118],"how":[25],"to":[26,37,59,91,159,232],"configure":[27],"a":[28,82,88,93,123,132,136,170,185,190,192,213,223],"successful":[29],"model.":[30],"This":[31],"means":[32],"model":[33,89,96,193,220,248],"builders":[34],"often":[35],"have":[36],"experiment":[38],"with":[39,216],"different":[40,45],"configurations":[41],"by":[42],"manually":[43],"programming":[44],"architectures":[46,64,121,237],"(which":[47,65],"tedious":[49],"time":[51],"consuming)":[52],"or":[53,80,166],"rely":[54],"purely":[56],"automated":[57],"approaches":[58],"generate":[60,174],"train":[62],"expensive).":[67],"In":[68,107],"this":[69],"paper,":[70],"we":[71,226],"present":[72],"Rapid":[73],"Exploration":[74],"Model":[76],"Architectures":[77],"Parameters,":[79],"REMAP,":[81,108],"visual":[83,133,240],"analytics":[84],"tool":[85],"that":[86,228],"allows":[87,230],"builder":[90,194],"discover":[92,233],"quickly":[97],"via":[98],"exploration":[99,241],"rapid":[101],"experimentation":[102],"neural":[104,119,235],"network":[105,120,236],"architectures.":[106,146],"user":[110,141,152],"explores":[111],"large":[113],"complex":[115],"parameter":[116],"space":[117],"using":[122,184,239],"combination":[124],"global":[126],"inspection":[127],"local":[129],"experimentation.":[130],"Through":[131,222],"overview":[134],"set":[137],"models,":[139],"identifies":[142],"interesting":[143],"clusters":[144],"Based":[147],"their":[149],"findings,":[150],"can":[153,179,195],"run":[154],"ablation":[155],"variation":[157],"experiments":[158],"identify":[160],"effects":[162],"adding,":[164],"removing,":[165],"replacing":[167],"in":[169],"given":[171],"architecture":[172],"new":[175,182],"accordingly.":[177],"They":[178],"also":[180],"handcraft":[181],"simple":[186],"graphical":[187],"interface.":[188],"As":[189],"result,":[191],"build":[196],"quickly,":[200],"efficiently,":[201],"without":[203],"manual":[204],"programming.":[205],"We":[206],"inform":[207],"design":[209,214],"REMAP":[211,229],"through":[212,246],"study":[215],"four":[217],"builders.":[221],"use":[224],"case,":[225],"demonstrate":[227],"users":[231],"performant":[234],"efficiently":[238],"user-defined":[243],"semi-automated":[244],"searches":[245],"space.":[249]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
