{"id":"https://openalex.org/W2592696501","doi":"https://doi.org/10.1109/tpami.2017.2677439","title":"Deep Unfolding for Topic Models","display_name":"Deep Unfolding for Topic Models","publication_year":2017,"publication_date":"2017-03-02","ids":{"openalex":"https://openalex.org/W2592696501","doi":"https://doi.org/10.1109/tpami.2017.2677439","mag":"2592696501","pmid":"https://pubmed.ncbi.nlm.nih.gov/28278458"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2677439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2677439","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-3466-8941","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045171042","display_name":"Chao-Hsi Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Hsi Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":5.782,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96752811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"2","first_page":"318","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9973999857902527,"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/T11309","display_name":"Music and Audio Processing","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7681702971458435},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.766741156578064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949416995048523},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6870983839035034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.615902841091156},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5551217794418335},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5499139428138733},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5113431811332703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49983882904052734},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43471062183380127},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4131866991519928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37656694650650024},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.27889198064804077}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7681702971458435},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.766741156578064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949416995048523},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6870983839035034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.615902841091156},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5551217794418335},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5499139428138733},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5113431811332703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49983882904052734},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43471062183380127},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4131866991519928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37656694650650024},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.27889198064804077},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2017.2677439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2677439","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28278458","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28278458","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3105600045","display_name":null,"funder_award_id":"MOST 105-2221-E-009-137-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W592244745","https://openalex.org/W777381104","https://openalex.org/W1555814299","https://openalex.org/W1779483307","https://openalex.org/W1831449718","https://openalex.org/W1880262756","https://openalex.org/W1909320841","https://openalex.org/W1950831375","https://openalex.org/W1959608418","https://openalex.org/W2001082470","https://openalex.org/W2015629112","https://openalex.org/W2031284124","https://openalex.org/W2049633694","https://openalex.org/W2049964102","https://openalex.org/W2056985955","https://openalex.org/W2069317438","https://openalex.org/W2097440732","https://openalex.org/W2098062695","https://openalex.org/W2108424780","https://openalex.org/W2110798204","https://openalex.org/W2122262818","https://openalex.org/W2122683976","https://openalex.org/W2126398289","https://openalex.org/W2129317206","https://openalex.org/W2133568543","https://openalex.org/W2135354436","https://openalex.org/W2141211247","https://openalex.org/W2157006255","https://openalex.org/W2161050705","https://openalex.org/W2163302275","https://openalex.org/W2169751147","https://openalex.org/W2170678468","https://openalex.org/W2171319841","https://openalex.org/W2186629860","https://openalex.org/W2259695933","https://openalex.org/W2396848693","https://openalex.org/W2405331948","https://openalex.org/W2407185622","https://openalex.org/W2952264928","https://openalex.org/W2962897886","https://openalex.org/W2963275229","https://openalex.org/W2963811225","https://openalex.org/W2964286272","https://openalex.org/W2964308280","https://openalex.org/W4231510805","https://openalex.org/W4297801963","https://openalex.org/W6617744952","https://openalex.org/W6622655500","https://openalex.org/W6638116569","https://openalex.org/W6638670064","https://openalex.org/W6639619044","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6674691625","https://openalex.org/W6676159740","https://openalex.org/W6676481782","https://openalex.org/W6677929280","https://openalex.org/W6679061810","https://openalex.org/W6679607006","https://openalex.org/W6679671054","https://openalex.org/W6682109554","https://openalex.org/W6683240801","https://openalex.org/W6684149856","https://openalex.org/W6685044945","https://openalex.org/W6685177488","https://openalex.org/W6685184952","https://openalex.org/W6686993759","https://openalex.org/W6692572551","https://openalex.org/W6834357723"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W2887732792","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W4311117049","https://openalex.org/W3213069564","https://openalex.org/W3003646942","https://openalex.org/W3036573187"],"abstract_inverted_index":{"Deep":[0,167],"unfolding":[1,133],"provides":[2],"an":[3,17],"approach":[4,18],"to":[5,112,163],"integrate":[6],"the":[7,12,34,50,59,64,71,97,102,119,126,142,158,164,182],"probabilistic":[8],"generative":[9],"models":[10,43,55,171],"and":[11,28,36,47,52,83,101,123],"deterministic":[13],"neural":[14,148],"networks.":[15],"Such":[16],"is":[19,94,139,153,172],"benefited":[20],"by":[21,69,96,116,156],"deep":[22,40,132,147],"representation,":[23],"easy":[24],"interpretation,":[25],"flexible":[26],"learning":[27,38,129,144,168],"stochastic":[29],"modeling.":[30],"This":[31,109],"study":[32],"develops":[33],"unsupervised":[35,51,196],"supervised":[37,53,200],"of":[39,74,76,169,184,189],"unfolded":[41],"topic":[42,54,160,170,201],"for":[44],"document":[45],"representation":[46,89],"classification.":[48],"Conventionally,":[49],"are":[56,67],"inferred":[57],"via":[58,131],"variational":[60,98,193],"inference":[61,107,134,137,194],"algorithm":[62],"where":[63],"model":[65,104],"parameters":[66,105,127,161],"estimated":[68,159],"maximizing":[70,118],"lower":[72,99],"bound":[73,100],"logarithm":[75],"marginal":[77],"likelihood":[78],"using":[79,157],"input":[80],"documents":[81],"without":[82],"with":[84,186,192],"class":[85],"labels,":[86],"respectively.":[87],"The":[88,136,150],"capability":[90],"or":[91],"classification":[92],"accuracy":[93],"constrained":[95],"tied":[103],"across":[106],"procedure.":[108,178],"paper":[110],"aims":[111],"relax":[113],"these":[114],"constraints":[115],"directly":[117],"end":[120,151],"performance":[121,152],"criterion":[122],"continuously":[124],"untying":[125],"in":[128,145,195],"process":[130],"(DUI).":[135],"procedure":[138],"treated":[140],"as":[141,197,199],"layer-wise":[143],"a":[146,176],"network.":[149],"iteratively":[154],"improved":[155],"according":[162],"exponentiated":[165],"updates.":[166],"therefore":[173],"implemented":[174],"through":[175],"back-propagation":[177],"Experimental":[179],"results":[180],"show":[181],"merits":[183],"DUI":[185],"increasing":[187],"number":[188],"layers":[190],"compared":[191],"well":[198],"models.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
