{"id":"https://openalex.org/W3004207757","doi":"https://doi.org/10.1145/3366423.3380061","title":"NCVis: Noise Contrastive Approach for Scalable Visualization","display_name":"NCVis: Noise Contrastive Approach for Scalable Visualization","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3004207757","doi":"https://doi.org/10.1145/3366423.3380061","mag":"3004207757"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380061","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020720115","display_name":"Aleksandr Artemenkov","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I136848882","display_name":"Optech (Canada)","ror":"https://ror.org/03njz2k95","country_code":"CA","type":"company","lineage":["https://openalex.org/I136848882"]}],"countries":["CA","RU"],"is_corresponding":true,"raw_author_name":"Aleksandr Artemenkov","raw_affiliation_strings":["Skoltech","Skoltech#TAB#"],"affiliations":[{"raw_affiliation_string":"Skoltech","institution_ids":["https://openalex.org/I136848882","https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skoltech#TAB#","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047074710","display_name":"Maxim Panov","orcid":"https://orcid.org/0000-0001-5161-2822"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I136848882","display_name":"Optech (Canada)","ror":"https://ror.org/03njz2k95","country_code":"CA","type":"company","lineage":["https://openalex.org/I136848882"]}],"countries":["CA","RU"],"is_corresponding":false,"raw_author_name":"Maxim Panov","raw_affiliation_strings":["Skoltech","Skoltech#TAB#"],"affiliations":[{"raw_affiliation_string":"Skoltech","institution_ids":["https://openalex.org/I136848882","https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skoltech#TAB#","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020720115"],"corresponding_institution_ids":["https://openalex.org/I125989756","https://openalex.org/I136848882"],"apc_list":null,"apc_paid":null,"fwci":0.14777568,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39028883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2941","last_page":"2947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9936000108718872,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"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":0.8314020037651062},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7513169050216675},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6788673400878906},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6723945140838623},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6293686628341675},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6226863265037537},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.561881422996521},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5505726933479309},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5211805701255798},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4449726641178131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36789482831954956},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1716591715812683},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08733564615249634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8314020037651062},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7513169050216675},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6788673400878906},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6723945140838623},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6293686628341675},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6226863265037537},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.561881422996521},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5505726933479309},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5211805701255798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4449726641178131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36789482831954956},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1716591715812683},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08733564615249634},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3366423.3380061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380061","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.11411","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11411","pdf_url":"https://arxiv.org/pdf/2001.11411","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3004207757","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2001.11411.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.2001.11411","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.11411","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380061","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W745779314","https://openalex.org/W1875842236","https://openalex.org/W1993436046","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2071128523","https://openalex.org/W2077776048","https://openalex.org/W2101234009","https://openalex.org/W2138204974","https://openalex.org/W2152790380","https://openalex.org/W2156718197","https://openalex.org/W2187089797","https://openalex.org/W2295124130","https://openalex.org/W2786672974","https://openalex.org/W2951527381","https://openalex.org/W2962772361","https://openalex.org/W2997591727","https://openalex.org/W3099514962","https://openalex.org/W3105146463","https://openalex.org/W3120740533","https://openalex.org/W4398493940"],"related_works":["https://openalex.org/W2786340362","https://openalex.org/W3041640821","https://openalex.org/W2499297601","https://openalex.org/W2012936076","https://openalex.org/W2104975219","https://openalex.org/W2029302187","https://openalex.org/W2616526340","https://openalex.org/W2915004970","https://openalex.org/W2503159166","https://openalex.org/W2279854324","https://openalex.org/W3013319350","https://openalex.org/W2462744659","https://openalex.org/W2744438518","https://openalex.org/W2949207836","https://openalex.org/W2893962847","https://openalex.org/W3156639177","https://openalex.org/W3042369923","https://openalex.org/W2999686948","https://openalex.org/W3205851411","https://openalex.org/W2766654293"],"abstract_inverted_index":{"Modern":[0],"methods":[1,102],"for":[2],"data":[3,128],"visualization":[4],"via":[5],"dimensionality":[6,34],"reduction,":[7],"such":[8,121],"as":[9],"t-SNE,":[10],"usually":[11],"have":[12],"performance":[13],"issues":[14],"that":[15,49,116],"prohibit":[16],"their":[17],"application":[18],"to":[19,135],"large":[20,74],"amounts":[21],"of":[22,43,56,63,76,111,120],"high-dimensional":[23],"data.":[24],"In":[25,66],"this":[26,136],"work,":[27],"we":[28],"propose":[29],"NCVis":[30,50],"--":[31],"a":[32,39,73,92],"high-performance":[33],"reduction":[35],"method":[36],"built":[37],"on":[38,105],"sound":[40],"statistical":[41],"basis":[42],"noise":[44],"contrastive":[45],"estimation.":[46],"We":[47,114],"show":[48],"outperforms":[51],"state-of-the-art":[52],"techniques":[53],"in":[54,83,91],"terms":[55],"speed":[57],"while":[58],"preserving":[59],"the":[60,68,88,117,126,132],"representation":[61],"quality":[62],"other":[64],"methods.":[65],"particular,":[67],"proposed":[69],"approach":[70],"successfully":[71],"proceeds":[72],"dataset":[75],"more":[77,106],"than":[78],"1":[79],"million":[80],"news":[81],"headlines":[82],"several":[84],"minutes":[85],"and":[86,130],"presents":[87],"underlying":[89],"structure":[90],"human-readable":[93],"way.":[94],"Moreover,":[95],"it":[96],"provides":[97],"results":[98],"consistent":[99],"with":[100],"classical":[101],"like":[103,109],"t-SNE":[104],"straightforward":[107],"datasets":[108],"images":[110],"hand-written":[112],"digits.":[113],"believe":[115],"broader":[118],"usage":[119],"software":[122],"can":[123],"significantly":[124],"simplify":[125],"large-scale":[127],"analysis":[129],"lower":[131],"entry":[133],"barrier":[134],"area.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
