{"id":"https://openalex.org/W4391336909","doi":"https://doi.org/10.48550/arxiv.2401.14953","title":"Learning Universal Predictors","display_name":"Learning Universal Predictors","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4391336909","doi":"https://doi.org/10.48550/arxiv.2401.14953"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14953","pdf_url":"http://arxiv.org/pdf/2401.14953","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2401.14953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026686188","display_name":"Jordi Grau-Moya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grau-Moya, Jordi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013602545","display_name":"Tim Genewein","orcid":"https://orcid.org/0000-0001-8039-4027"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Genewein, Tim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073944062","display_name":"Marcus H\u00fctter","orcid":"https://orcid.org/0000-0002-3263-4097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hutter, Marcus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938957","display_name":"Laurent Orseau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orseau, Laurent","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059962909","display_name":"Gr\u00e9goire Del\u00e9tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Del\u00e9tang, Gr\u00e9goire","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020795308","display_name":"Elliot Catt","orcid":"https://orcid.org/0000-0001-9411-927X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Catt, Elliot","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077124139","display_name":"Anian Ruoss","orcid":"https://orcid.org/0000-0002-8616-2558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoss, Anian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017305728","display_name":"Li Kevin Wenliang","orcid":"https://orcid.org/0000-0001-7090-3078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenliang, Li Kevin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088656569","display_name":"Christopher Mattern","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mattern, Christopher","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005322233","display_name":"Matthew Aitchison","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aitchison, Matthew","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060709021","display_name":"Joel Veness","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veness, Joel","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9955,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9955,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9907,"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/T10028","display_name":"Topic Modeling","score":0.9741,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36345005}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14953","pdf_url":"http://arxiv.org/pdf/2401.14953","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14953","pdf_url":"http://arxiv.org/pdf/2401.14953","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2530322880","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2359140296","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2001405890","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Meta-learning":[0],"has":[1],"emerged":[2],"as":[3],"a":[4,81,125],"powerful":[5,50],"approach":[6],"to":[7,11,21,25,63,72,77,80,136],"train":[8,137],"neural":[9,58,104,138],"networks":[10,59,79,139],"learn":[12],"new":[13],"tasks":[14,23],"quickly":[15],"from":[16],"limited":[17],"data.":[18],"Broad":[19],"exposure":[20],"different":[22],"leads":[24],"versatile":[26],"representations":[27],"enabling":[28],"general":[29],"problem":[30],"solving.":[31],"But,":[32],"what":[33],"are":[34],"the":[35,44,48,91],"limits":[36],"of":[37,46,84,90,113,141],"meta-learning?":[38],"In":[39],"this":[40],"work,":[41],"we":[42],"explore":[43],"potential":[45],"amortizing":[47],"most":[49],"universal":[51,143],"predictor,":[52],"namely":[53],"Solomonoff":[54],"Induction":[55],"(SI),":[56],"into":[57],"via":[60],"leveraging":[61],"meta-learning":[62],"its":[64],"limits.":[65],"We":[66,86,99],"use":[67],"Universal":[68],"Turing":[69],"Machines":[70],"(UTMs)":[71],"generate":[73],"training":[74],"data":[75,93,111,123],"used":[76,135],"expose":[78],"broad":[82],"range":[83],"patterns.":[85],"provide":[87],"theoretical":[88],"analysis":[89],"UTM":[92,122],"generation":[94],"processes":[95],"and":[96,109,116,130],"meta-training":[97],"protocols.":[98],"conduct":[100],"comprehensive":[101],"experiments":[102],"with":[103],"architectures":[105],"(e.g.":[106],"LSTMs,":[107],"Transformers)":[108],"algorithmic":[110],"generators":[112],"varying":[114],"complexity":[115],"universality.":[117],"Our":[118],"results":[119],"suggest":[120],"that":[121,131],"is":[124],"valuable":[126],"resource":[127],"for":[128],"meta-learning,":[129],"it":[132],"can":[133],"be":[134],"capable":[140],"learning":[142],"prediction":[144],"strategies.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391336909","counts_by_year":[],"updated_date":"2024-12-15T14:16:57.534890","created_date":"2024-01-31"}