{"id":"https://openalex.org/W6943457644","doi":"https://doi.org/10.15496/publikation-67592","title":"Selected Inductive Biases in Neural Networks To Generalize Beyond the Training Domain","display_name":"Selected Inductive Biases in Neural Networks To Generalize Beyond the Training Domain","publication_year":2021,"publication_date":"2021-04-12","ids":{"openalex":"https://openalex.org/W6943457644","doi":"https://doi.org/10.15496/publikation-67592"},"language":"de","primary_location":{"id":"doi:10.15496/publikation-67592","is_oa":true,"landing_page_url":"https://doi.org/10.15496/publikation-67592","pdf_url":null,"source":{"id":"https://openalex.org/S7407053000","display_name":"Universit\u00e4tsbibliothek T\u00fcbingen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.15496/publikation-67592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Schott, Lukas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Schott, Lukas","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":0,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.22949999570846558}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.38659998774528503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3580999970436096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.3483999967575073},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3183000087738037},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29019999504089355},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.22949999570846558},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.22020000219345093},{"id":"https://openalex.org/C29456083","wikidata":"https://www.wikidata.org/wiki/Q1221899","display_name":"Gynecology","level":1,"score":0.20970000326633453},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20029999315738678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.147599995136261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15496/publikation-67592","is_oa":true,"landing_page_url":"https://doi.org/10.15496/publikation-67592","pdf_url":null,"source":{"id":"https://openalex.org/S7407053000","display_name":"Universit\u00e4tsbibliothek T\u00fcbingen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.15496/publikation-67592","is_oa":true,"landing_page_url":"https://doi.org/10.15496/publikation-67592","pdf_url":null,"source":{"id":"https://openalex.org/S7407053000","display_name":"Universit\u00e4tsbibliothek T\u00fcbingen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Die":[0,204,330],"k\u00fcnstlichen":[1],"neuronalen":[2,57,256,290],"Netze":[3,26,168,211,257,276],"des":[4,12,94,455,464],"computergesteuerten":[5],"Sehens":[6,14],"k\u00f6nnen":[7,23,298,317],"mit":[8,86,105,364,378],"den":[9,180,221,433],"vielf\\\"altigen":[10],"F\u00e4higkeiten":[11,471],"menschlichen":[13],"noch":[15,46],"lange":[16],"nicht":[17],"mithalten.":[18],"Im":[19,117,358],"Gegensatz":[20,118],"zum":[21,112],"Menschen":[22,434],"k\u00fcnstliche":[24],"neuronale":[25,167,210,338],"durch":[27,344,351],"kaum":[28],"wahrnehmbare":[29],"St\u00f6rungen":[30,373],"durcheinandergebracht":[31],"werden,":[32],"es":[33],"mangelt":[34],"ihnen":[35],"an":[36],"Generalisierungsf\u00e4higkeiten":[37],"\u00fcber":[38],"ihre":[39],"Trainingsdaten":[40],"hinaus":[41],"und":[42,69,90,448],"sie":[43],"ben\u00f6tigen":[44],"meist":[45,258],"enorme":[47],"Datenmengen":[48],"f\u00fcr":[49,169,194,239,337,371,425,432],"das":[50,414],"Erlernen":[51,107],"neuer":[52],"Aufgaben.":[53],"Somit":[54,458],"sind":[55,374],"auf":[56,62,73,413],"Netzen":[58,291],"basierende":[59],"Anwendungen":[60],"h\u00e4ufig":[61],"kleine":[63],"Bereiche":[64],"oder":[65,184,354],"kontrollierte":[66],"Umgebungen":[67],"beschr\u00e4nkt":[68],"lassen":[70],"sich":[71,85,305],"schlecht":[72],"andere":[74,318],"Aufgaben":[75],"\u00fcbertragen.":[76],"In":[77,98,220],"dieser":[78],"Dissertation,":[79],"werden":[80,225],"vier":[81],"Ver\u00f6ffentlichungen":[82],"besprochen,":[83],"die":[84,111,138,147,160,195,238,240,254,261,267,275,299,349,377,385,424],"diesen":[87],"Einschr\u00e4nkungen":[88],"auseinandersetzen":[89],"Algorithmen":[91],"im":[92,407,453,462],"Bereich":[93,454,463],"visuellen":[95,456],"Repr\u00e4sentationslernens":[96],"weiterentwickeln.":[97],"der":[99,108,228,246,270,309,392,445,449,468],"ersten":[100],"Ver\u00f6ffentlichung":[101,206,332,387],"befassen":[102],"wir":[103,126,234,460],"uns":[104,197,461],"dem":[106],"unabh\u00e4ngigen":[109],"Faktoren,":[110],"Beispiel":[113],"eine":[114,214],"Szenerie":[115,215],"beschreiben.":[116],"zu":[119,175,264,272,409,418],"vorherigen":[120],"Arbeiten":[121,189],"in":[122,151,179,279,311],"diesem":[123],"Forschungsfeld":[124],"verwenden":[125],"hierbei":[127],"jedoch":[128,301],"weniger":[129,369],"k\u00fcnstliche,":[130],"sondern":[131],"nat\u00fcrlichere":[132],"Datens\u00e4tze.":[133],"Dabei":[134],"beobachten":[135],"wir,":[136,362],"dass":[137,237,253,363],"zeitlichen":[139],"\u00c4nderungen":[140],"von":[141,149,196,422],"Szenerien":[142],"beschreibenden,":[143],"nat\u00fcrlichen":[144],"Faktoren":[145,174,202,217,263,271,307,319],"(z.B.":[146],"Positionen":[148],"Personen":[150],"einer":[152,154],"Fu\u00dfg\u00e4ngerzone)":[153],"verallgemeinerten":[155],"Laplace-Verteilung":[156,162],"folgen.":[157],"Wir":[158,177,250],"nutzen":[159],"verallgemeinerte":[161],"als":[163,187,375],"schwaches":[164],"Lernsignal,":[165],"um":[166],"mathematisch":[170],"beweisbares":[171],"Repr\u00e4sentationslernen":[172],"unabh\u00e4ngiger":[173],"trainieren.":[176],"erzielen":[178],"disentanglement_lib":[181],"Wettbewerbsdatens\u00e4tzen":[182],"vergleichbare":[183],"bessere":[185],"Ergebnisse":[186],"vorherige":[188],"\u2013":[190],"dies":[191],"gilt":[192],"auch":[193,431],"beigesteuerten":[198],"Datens\u00e4tze,":[199],"welche":[200],"nat\u00fcrliche":[201],"beinhalten.":[203],"zweite":[205],"untersucht,":[207],"ob":[208],"verschiedene":[209],"bereits":[212,244,322],"beobachtete,":[213],"beschreibende":[216],"generalisieren":[218],"k\u00f6nnen.":[219,357,437],"meisten":[222],"bisherigen":[223],"Generalisierungswettbewerben":[224],"erst":[226],"w\u00e4hrend":[227,245,308],"Testphase":[229,241],"neue":[230],"St\u00f6rungsfaktoren":[231],"hinzugef\u00fcgt":[232],"-":[233],"hingegen":[235],"garantieren,":[236],"relevanten":[242],"Variationsfaktoren":[243],"Trainingsphase":[247,310],"teilweise":[248],"vorkommen.":[249],"stellen":[251],"fest,":[252],"getesteten":[255],"Schwierigkeiten":[259],"haben,":[260],"beschreibenden":[262],"generalisieren.":[265],"Anstatt":[266],"richtigen":[268],"Werte":[269,278],"bestimmen,":[273],"neigen":[274],"dazu,":[277],"zuvor":[280,313],"beobachteten":[281],"Bereichen":[282],"vorherzusagen.":[283],"Dieses":[284],"Verhalten":[285],"ist":[286,342],"bei":[287],"allen":[288],"untersuchten":[289],"recht":[292],"\u00e4hnlich.":[293],"Trotz":[294],"ihrer":[295],"begrenzten":[296],"Generalisierungsf\u00e4higkeiten,":[297],"Modelle":[300],"modular":[302],"sein:":[303],"Obwohl":[304],"einige":[306],"einem":[312,321],"ungesehenen":[314],"Wertebereich":[315,324],"befinden,":[316],"aus":[320],"bekannten":[323],"gr\u00f6\u00dftenteils":[325],"dennoch":[326],"korrekt":[327],"bestimmt":[328],"werden.":[329],"dritte":[331],"pr\u00e4sentiert":[333],"ein":[334],"adversielles":[335],"Trainingsverfahren":[336],"Netze.":[339],"Das":[340],"Verfahren":[341],"inspiriert":[343],"lokale":[345],"Korrelationsstrukturen":[346],"h\u00e4ufiger":[347],"Bildartefakte,":[348],"z.B.":[350],"Regen,":[352],"Unsch\u00e4rfe":[353],"Rauschen":[355],"entstehen":[356],"Klassifizierungswettbewerb":[359],"ImageNet-C":[360],"zeigen":[361],"unserer":[365],"Methode":[366],"trainierte":[367],"Netzwerke":[368],"anf\u00e4llig":[370],"h\u00e4ufige":[372],"einige,":[376],"bestehenden":[379],"Methoden":[380],"trainiert":[381],"wurden.":[382],"Schlie\u00dflich":[383],"stellt":[384],"vierte":[386],"einen":[388],"generativen":[389],"Ansatz":[390],"vor,":[391],"bestehende":[393],"Ans\u00e4tze":[394],"gem\u00e4\u00df":[395],"mehrerer":[396],"Robustheitsmetriken":[397],"beim":[398],"MNIST":[399],"Ziffernklassifizierungswettbewerb":[400],"\u00fcbertrifft.":[401],"Perzeptiv":[402],"scheint":[403],"unser":[404,426],"generatives":[405,427],"Modell":[406,428],"Vergleich":[408],"fr\u00fcheren":[410],"Ans\u00e4tzen":[411],"st\u00e4rker":[412],"menschliche":[415],"Sehen":[416],"abgestimmt":[417],"sein,":[419],"da":[420],"Bilder":[421],"Ziffern,":[423],"mehrdeutig":[429,435],"sind,":[430],"erscheinen":[436],"Diese":[438],"Arbeit":[439],"liefert":[440],"also":[441],"M\u00f6glichkeiten":[442],"zur":[443],"Verbesserung":[444],"adversiellen":[446],"Robustheit":[447],"St\u00f6rungstoleranz":[450],"sowie":[451],"Erweiterungen":[452],"Repr\u00e4sentationslernens.":[457],"n\u00e4hern":[459],"maschinellen":[465],"Lernens":[466],"weiter":[467],"Vielfalt":[469],"menschlicher":[470],"an.":[472]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
