{"id":"https://openalex.org/W2624872001","doi":null,"title":"Adversarially Regularized Autoencoders for Generating Discrete Structures.","display_name":"Adversarially Regularized Autoencoders for Generating Discrete Structures.","publication_year":2017,"publication_date":"2017-06-13","ids":{"openalex":"https://openalex.org/W2624872001","mag":"2624872001"},"language":"en","primary_location":{"id":"mag:2624872001","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1706.04223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://export.arxiv.org/pdf/1706.04223","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020162825","display_name":"Junbo Zhao","orcid":"https://orcid.org/0000-0002-5828-8102","observed_orcids":["https://orcid.org/0000-0002-5828-8102"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junbo Zhao","raw_affiliation_strings":["Jake"],"raw_orcid":"https://orcid.org/0000-0002-5828-8102","affiliations":[{"raw_affiliation_string":"Jake","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693798","display_name":"Yoon Kim","orcid":"https://orcid.org/0000-0002-4837-8411","observed_orcids":["https://orcid.org/0000-0002-4837-8411"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon Kim","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4837-8411","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086475997","display_name":"Kelly Zhang","orcid":"https://orcid.org/0000-0001-6515-544X","observed_orcids":["https://orcid.org/0000-0001-6515-544X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kelly Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062546146","display_name":"Alexander M. Rush","orcid":"https://orcid.org/0000-0002-9900-1606","observed_orcids":["https://orcid.org/0000-0002-9900-1606"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander M. Rush","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9900-1606","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001226970","display_name":"Yann LeCun","orcid":"https://orcid.org/0000-0002-1992-2684","observed_orcids":["https://orcid.org/0000-0002-1992-2684"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yann LeCun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9901999831199646,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9901999831199646,"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/T10028","display_name":"Topic Modeling","score":0.005799999926239252,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0015999999595806003,"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/adversarial-regularization","display_name":"adversarial regularization","score":0.6909999847412109},{"id":"https://openalex.org/keywords/autoencoder","display_name":"autoencoder","score":0.8579999804496765},{"id":"https://openalex.org/keywords/latent-space-regularization","display_name":"latent space regularization","score":0.6930000185966492},{"id":"https://openalex.org/keywords/text-generation","display_name":"text generation","score":0.9919999837875366},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/generative-adversarial-training","display_name":"generative adversarial training","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8071058988571167},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6867673397064209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682589650154114},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6315920352935791},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6125224232673645},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6066370606422424},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5570152401924133},{"id":"https://openalex.org/C153782549","wikidata":"https://www.wikidata.org/wiki/Q175116","display_name":"Discrete space","level":2,"score":0.5201318860054016},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5091561675071716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5072176456451416},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5041536092758179},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.49907517433166504},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4841628670692444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4532528817653656},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4443349540233612},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.439856618642807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37438610196113586},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2918851971626282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2134225070476532},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2624872001","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1706.04223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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}],"best_oa_location":{"id":"mag:2624872001","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1706.04223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2773028880","https://openalex.org/W2969399009","https://openalex.org/W2921705182","https://openalex.org/W4391900294","https://openalex.org/W2593383075","https://openalex.org/W3131488435","https://openalex.org/W3111969164","https://openalex.org/W2795939608","https://openalex.org/W2606418751","https://openalex.org/W2964219393"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1,84],"networks":[2],"are":[3,131],"an":[4,54],"effective":[5],"approach":[6,65],"for":[7,66],"learning":[8],"rich":[9],"latent":[10,136],"representations":[11],"of":[12,128,146],"continuous":[13,41,120],"data,":[14,25,102],"but":[15,48],"have":[16],"proven":[17],"difficult":[18,51],"to":[19,22,44,52,98,114],"apply":[20],"directly":[21],"discrete":[23,37,74,109,117,147],"structured":[24],"such":[26],"as":[27,107],"text":[28,150],"sequences":[29],"or":[30],"discretized":[31],"images.":[32],"Ideally":[33],"we":[34,61],"could":[35],"encode":[36],"structures":[38],"in":[39,133],"a":[40,63,73,78,89,108],"code":[42,79,92],"space":[43,80,93],"avoid":[45],"this":[46,59],"problem,":[47],"it":[49],"is":[50],"learn":[53],"appropriate":[55],"general-purpose":[56],"encoder.":[57],"In":[58],"work,":[60],"consider":[62],"simple":[64],"handling":[67],"these":[68],"two":[69],"challenges":[70],"jointly,":[71],"employing":[72],"structure":[75],"autoencoder":[76],"with":[77,111],"regularized":[81,91],"by":[82],"generative":[83],"training.":[85],"The":[86],"model":[87,99,141],"learns":[88],"smooth":[90],"while":[94],"still":[95],"being":[96],"able":[97],"the":[100,112,129,134,140,144],"underlying":[101],"and":[103,138,152],"can":[104],"be":[105],"used":[106],"GAN":[110],"ability":[113],"generate":[115],"coherent":[116],"outputs":[118],"from":[119],"samples.":[121],"We":[122],"demonstrate":[123],"empirically":[124],"how":[125],"key":[126],"properties":[127],"data":[130],"captured":[132],"model's":[135],"space,":[137],"evaluate":[139],"itself":[142],"on":[143],"tasks":[145],"image":[148],"generation,":[149,151],"semi-supervised":[153],"learning.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-06-23T00:00:00"}
