{"id":"https://openalex.org/W2811484325","doi":"https://doi.org/10.1109/jsait.2020.2986752","title":"Deepcode: Feedback Codes via Deep Learning","display_name":"Deepcode: Feedback Codes via Deep Learning","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2811484325","doi":"https://doi.org/10.1109/jsait.2020.2986752","mag":"2811484325"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2020.2986752","doi":"https://doi.org/10.1109/jsait.2020.2986752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2020.2986752","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1"],"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 Journal on Selected Areas in Information Theory","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.00801","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072204319","display_name":"Hyeji Kim","orcid":"https://orcid.org/0000-0002-2256-5729","observed_orcids":["https://orcid.org/0000-0002-2256-5729"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeji Kim","raw_affiliation_strings":["Samsung AI Research, Cambridge, U.K","University of Washington, Seattle, United States"],"raw_orcid":"https://orcid.org/0000-0002-2256-5729","affiliations":[{"raw_affiliation_string":"Samsung AI Research, Cambridge, U.K","institution_ids":[]},{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030535555","display_name":"Yihan Jiang","orcid":"https://orcid.org/0009-0007-4335-8028","observed_orcids":["https://orcid.org/0009-0007-4335-8028","https://orcid.org/0000-0002-1399-7909","https://orcid.org/0009-0001-1765-7637"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yihan Jiang","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, USA","University of Washington, Seattle, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722219","display_name":"Sreeram Kannan","orcid":"https://orcid.org/0000-0001-8843-2964","observed_orcids":["https://orcid.org/0000-0001-8843-2964"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreeram Kannan","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, USA","University of Washington, Seattle, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028243041","display_name":"Sewoong Oh","orcid":"https://orcid.org/0000-0002-8975-8306","observed_orcids":["https://orcid.org/0000-0002-8975-8306"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sewoong Oh","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle, USA","University of Washington, Seattle, United States"],"raw_orcid":"https://orcid.org/0000-0002-8975-8306","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053980484","display_name":"Pramod Viswanath","orcid":"https://orcid.org/0000-0003-3171-8667","observed_orcids":["https://orcid.org/0000-0003-3171-8667"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod Viswanath","raw_affiliation_strings":["Department of Electrical Engineering, University of Illinois at Urbana\u2013Champaign, Champaign, USA","University of Illinois Urbana-Champaign, Urbana, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Illinois at Urbana\u2013Champaign, Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, United States","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":10.1645,"has_fulltext":true,"cited_by_count":145,"citation_normalized_percentile":{"value":0.98591981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"1","issue":"1","first_page":"194","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11130","display_name":"Coding theory and cryptography","score":0.002400000113993883,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/channel-coding","display_name":"channel coding","score":0.4359999895095825},{"id":"https://openalex.org/keywords/gaussian-noise-channel","display_name":"Gaussian noise channel","score":0.7260000109672546},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.7070000171661377},{"id":"https://openalex.org/keywords/code-design","display_name":"code design","score":0.5260000228881836},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"channel capacity","score":0.5299999713897705},{"id":"https://openalex.org/keywords/signal-to-noise-ratio-improvement","display_name":"signal-to-noise ratio improvement","score":0.6169999837875366},{"id":"https://openalex.org/keywords/code-composition","display_name":"code composition","score":0.5550000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548588514328003},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.6168017387390137},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.5758262872695923},{"id":"https://openalex.org/C2778814252","wikidata":"https://www.wikidata.org/wiki/Q5156715","display_name":"Composability","level":2,"score":0.5061246752738953},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4936133623123169},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47143450379371643},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4676131010055542},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.4666561782360077},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4532814621925354},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4481109380722046},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.41877979040145874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37510406970977783},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3714536428451538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35850220918655396},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.15291523933410645},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1521626114845276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12644049525260925},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08704119920730591},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jsait.2020.2986752","doi":"https://doi.org/10.1109/jsait.2020.2986752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2020.2986752","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1"],"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 Journal on Selected Areas in Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1807.00801","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.00801","pdf_url":"https://arxiv.org/pdf/1807.00801","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1807.00801","doi":"https://doi.org/10.48550/arxiv.1807.00801","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.00801","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2811484325","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/2018/file/31f81674a348511b990af268ca3a8391-Paper.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.00801","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.00801","pdf_url":"https://arxiv.org/pdf/1807.00801","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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5833872331","display_name":null,"funder_award_id":"CNS-2002932","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G5942947682","display_name":null,"funder_award_id":"CNS-2002664","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G660727790","display_name":null,"funder_award_id":"CIF-1703403","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G7070253210","display_name":null,"funder_award_id":"CCF-1651236","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2811484325.pdf","grobid_xml":"https://content.openalex.org/works/W2811484325.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1995875735","https://openalex.org/W2010342183","https://openalex.org/W2010569737","https://openalex.org/W2036971481","https://openalex.org/W2041404167","https://openalex.org/W2096307573","https://openalex.org/W2106045225","https://openalex.org/W2106864314","https://openalex.org/W2109418578","https://openalex.org/W2122125652","https://openalex.org/W2128592907","https://openalex.org/W2140655888","https://openalex.org/W2141236112","https://openalex.org/W2146653619","https://openalex.org/W2146833439","https://openalex.org/W2157875630","https://openalex.org/W2159494976","https://openalex.org/W2164684058","https://openalex.org/W2164985961","https://openalex.org/W2206295654","https://openalex.org/W2210387432","https://openalex.org/W2230735268","https://openalex.org/W2300242332","https://openalex.org/W2493589175","https://openalex.org/W2515594527","https://openalex.org/W2666368276","https://openalex.org/W2734408173","https://openalex.org/W2738594702","https://openalex.org/W2787490206","https://openalex.org/W2788661346","https://openalex.org/W2792153518","https://openalex.org/W2795652753","https://openalex.org/W2806909486","https://openalex.org/W2909312480","https://openalex.org/W2949164659","https://openalex.org/W2962992649","https://openalex.org/W2995336301","https://openalex.org/W3016029619","https://openalex.org/W3099197037","https://openalex.org/W6891418133"],"related_works":["https://openalex.org/W4312525149","https://openalex.org/W6927383607","https://openalex.org/W4416952981","https://openalex.org/W4401692969","https://openalex.org/W4406610780","https://openalex.org/W3022249012","https://openalex.org/W4404304580","https://openalex.org/W4290996588","https://openalex.org/W4415367558","https://openalex.org/W4312454878"],"abstract_inverted_index":{"The":[0,50],"design":[1],"of":[2,33,48,75,116,127,135,190],"codes":[3,34,43,80,108,112,186],"for":[4,161],"communicating":[5],"reliably":[6],"over":[7,45,188],"a":[8,122,169],"statistically":[9],"well":[10],"defined":[11],"channel":[12,52,59,167],"is":[13,55,69],"an":[14],"important":[15],"endeavor":[16],"involving":[17],"deep":[18,37,173],"mathematical":[19,171,191],"research":[20],"and":[21,103,120,149],"wide-ranging":[22],"practical":[23,79,153],"applications.":[24],"In":[25],"this":[26,91],"work,":[27],"we":[28],"present":[29],"the":[30,56,136,166],"first":[31],"family":[32],"obtained":[35],"via":[36],"learning,":[38],"which":[39],"significantly":[40],"outperforms":[41],"state-of-the-art":[42,185],"designed":[44],"several":[46,132],"decades":[47,189],"research.":[49,192],"communication":[51],"under":[53],"consideration":[54],"Gaussian":[57],"noise":[58],"with":[60,99,146,178],"feedback,":[61],"whose":[62],"study":[63],"was":[64],"initiated":[65],"by":[66,93,113],"Shannon;":[67],"feedback":[68],"known":[70,111,147],"theoretically":[71],"to":[72,105,140,152],"improve":[73],"reliability":[74,119],"communication,":[76],"but":[77],"no":[78],"that":[81,109],"do":[82],"so":[83],"have":[84],"ever":[85],"been":[86],"successfully":[87],"constructed.":[88],"We":[89,129],"break":[90],"logjam":[92],"integrating":[94],"information":[95],"theoretic":[96],"insights":[97],"harmoniously":[98],"recurrent-neural-network":[100],"based":[101],"encoders":[102],"decoders":[104],"create":[106],"novel":[107],"outperform":[110],"3":[114],"orders":[115],"magnitude":[117],"in":[118,125],"achieve":[121],"3dB":[123],"gain":[124],"terms":[126],"SNR.":[128],"also":[130,157],"demonstrate":[131],"desirable":[133],"properties":[134],"codes:":[137],"(a)":[138],"generalization":[139],"larger":[141],"block":[142],"lengths,":[143],"(b)":[144],"composability":[145],"codes,":[148],"(c)":[150],"adaptation":[151],"constraints.":[154],"This":[155],"result":[156],"has":[158,168],"broader":[159],"ramifications":[160],"coding":[162],"theory:":[163],"even":[164],"when":[165,176],"clear":[170],"model,":[172],"learning":[174],"methodologies,":[175],"combined":[177],"channel-specific":[179],"information-theoretic":[180],"insights,":[181],"can":[182],"potentially":[183],"beat":[184],"constructed":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-07-10T00:00:00"}
