{"id":"https://openalex.org/W2790359648","doi":"https://doi.org/10.1109/icassp.2018.8461441","title":"A Learning Algorithm with Compression-Based Regularization","display_name":"A Learning Algorithm with Compression-Based Regularization","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2790359648","doi":"https://doi.org/10.1109/icassp.2018.8461441","mag":"2790359648"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11336/198870","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052132831","display_name":"Mat\u00edas Vera","orcid":"https://orcid.org/0000-0001-9180-7595"},"institutions":[{"id":"https://openalex.org/I24354313","display_name":"Universidad de Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Matias Vera","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad de Buenos Aires, Buenos Aires, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad de Buenos Aires, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035529329","display_name":"Leonardo Rey Vega","orcid":"https://orcid.org/0000-0002-5578-0521"},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"government","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Leonardo Rey Vega","raw_affiliation_strings":["CSC-CONICET, Buenos Aires, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSC-CONICET, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I151201029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111639743","display_name":"Pablo Piantanida","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pablo Piantanida","raw_affiliation_strings":["Centralexupelec - CNRS - Universite Paris-Sud, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centralexupelec - CNRS - Universite Paris-Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210107720"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2836","last_page":"2840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991000294685364,"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/T10057","display_name":"Face and Expression Recognition","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.6986393332481384},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5987244248390198},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5129077434539795},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.4654335081577301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4562966823577881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4212058186531067},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3817785382270813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986393332481384},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5987244248390198},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5129077434539795},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.4654335081577301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4562966823577881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212058186531067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3817785382270813}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2018.8461441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01742449v1","is_oa":false,"landing_page_url":"https://centralesupelec.hal.science/hal-01742449","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. &#x27E8;10.1109/icassp.2018.8461441&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ri.conicet.gov.ar:11336/198870","is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/198870","pdf_url":null,"source":{"id":"https://openalex.org/S4306402455","display_name":"CONICET Digital (CONICET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210148385","host_organization_name":"Biomedicine Research Institute of Buenos Aires - CONICET - Partner Institute of the Max Planck Society","host_organization_lineage":["https://openalex.org/I4210148385"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ri.conicet.gov.ar:11336/198870","is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/198870","pdf_url":null,"source":{"id":"https://openalex.org/S4306402455","display_name":"CONICET Digital (CONICET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210148385","host_organization_name":"Biomedicine Research Institute of Buenos Aires - CONICET - Partner Institute of the Max Planck Society","host_organization_lineage":["https://openalex.org/I4210148385"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W53759226","https://openalex.org/W1493526108","https://openalex.org/W1506806321","https://openalex.org/W1513108462","https://openalex.org/W1572659166","https://openalex.org/W1595613095","https://openalex.org/W1641061802","https://openalex.org/W1686946872","https://openalex.org/W2029236670","https://openalex.org/W2068660182","https://openalex.org/W2098145033","https://openalex.org/W2119016846","https://openalex.org/W2123469175","https://openalex.org/W2148986322","https://openalex.org/W2161405788","https://openalex.org/W2161877964","https://openalex.org/W2162888803","https://openalex.org/W2770992186","https://openalex.org/W2913340405","https://openalex.org/W6602136431","https://openalex.org/W6614676750","https://openalex.org/W6635548358","https://openalex.org/W6637108112","https://openalex.org/W6674609639"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2078570174","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates,":[2],"from":[3,28],"information":[4,60,89],"theoretic":[5,61],"principles,":[6],"a":[7,18,37],"learning":[8,66],"problem":[9],"based":[10],"on":[11,97],"the":[12,44,48,52,64,77,92,98,101],"principle":[13],"that":[14,84],"any":[15],"regularity":[16],"in":[17,30],"given":[19],"dataset":[20],"can":[21],"be":[22],"exploited":[23],"to":[24,32,109],"extract":[25],"compact":[26],"features":[27],"data,":[29],"order":[31],"build":[33],"meaningful":[34],"representations":[35],"of":[36,63,103],"relevant":[38],"content.":[39],"We":[40],"begin":[41],"by":[42],"introducing":[43],"fundamental":[45],"tradeoff":[46],"between":[47],"average":[49],"risk":[50,94],"and":[51,100],"model":[53],"complexity.":[54],"Interestingly,":[55],"our":[56],"formulation":[57,62],"allows":[58],"an":[59,72,87],"multi-task":[65],"(MTL)":[67],"problem.":[68],"Then,":[69],"we":[70],"present":[71],"iterative":[73],"algorithm":[74],"for":[75],"computing":[76],"optimal":[78,88],"tradeoffs.":[79],"Remarkably,":[80],"empirical":[81],"results":[82],"illustrate":[83],"there":[85],"exists":[86],"rate":[90],"minimizing":[91],"excess":[93],"which":[95],"depends":[96],"nature":[99],"amount":[102],"available":[104],"training":[105],"data.":[106],"An":[107],"application":[108],"hierarchical":[110],"text":[111],"categorization":[112],"is":[113],"also":[114],"investigated,":[115],"extending":[116],"previous":[117],"works.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
