{"id":"https://openalex.org/W3171727251","doi":"https://doi.org/10.1088/2632-2153/ac4f3f","title":"Probing transfer learning with a model of synthetic correlated datasets","display_name":"Probing transfer learning with a model of synthetic correlated datasets","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W3171727251","doi":"https://doi.org/10.1088/2632-2153/ac4f3f","mag":"3171727251"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ac4f3f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac4f3f","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac4f3f/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac4f3f/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091376836","display_name":"Federica Gerace","orcid":"https://orcid.org/0000-0002-8992-5506"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Federica Gerace","raw_affiliation_strings":["SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005071277","display_name":"Luca Saglietti","orcid":"https://orcid.org/0000-0002-5691-6662"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luca Saglietti","raw_affiliation_strings":["SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028694063","display_name":"Stefano Sarao Mannelli","orcid":"https://orcid.org/0000-0002-7008-8832"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefano Sarao Mannelli","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011428379","display_name":"Andrew Saxe","orcid":"https://orcid.org/0000-0002-9831-8812"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Andrew Saxe","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London, London, United Kingdom","CIFAR Azrieli Global Scholars programme, CIFAR"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"CIFAR Azrieli Global Scholars programme, CIFAR","institution_ids":["https://openalex.org/I109736498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089268172","display_name":"Lenka Zdeborov\u00e1","orcid":"https://orcid.org/0000-0002-8377-3978"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Lenka Zdeborov\u00e1","raw_affiliation_strings":["SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"SPOC laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091376836"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.6524,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90978587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"1","first_page":"015030","last_page":"015030"},"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":1.0,"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":1.0,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9941999912261963,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879999756813049,"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":0.7587803602218628},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7489556074142456},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7276718616485596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6338740587234497},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6196539998054504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6131028532981873},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5998244285583496},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5677498579025269},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5444210767745972},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4426405131816864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44000181555747986},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4118683934211731},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41022640466690063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36778634786605835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1225670874118805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587803602218628},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7489556074142456},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7276718616485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6338740587234497},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6196539998054504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6131028532981873},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5998244285583496},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5677498579025269},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5444210767745972},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4426405131816864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44000181555747986},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4118683934211731},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41022640466690063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36778634786605835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1225670874118805},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1088/2632-2153/ac4f3f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac4f3f","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac4f3f/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2106.05418","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.05418","pdf_url":"https://arxiv.org/pdf/2106.05418","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/969588","is_oa":true,"landing_page_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac4f3f","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:infoscience.epfl.ch:291930","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/185263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ac4f3f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac4f3f","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac4f3f/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3601679451","display_name":null,"funder_award_id":"216386/Z/19/Z","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G5790682227","display_name":null,"funder_award_id":"714608-SMiLe","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171727251.pdf","grobid_xml":"https://content.openalex.org/works/W3171727251.grobid-xml"},"referenced_works_count":130,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W1650706190","https://openalex.org/W1959608418","https://openalex.org/W1984020445","https://openalex.org/W2007339694","https://openalex.org/W2099471712","https://openalex.org/W2101234009","https://openalex.org/W2119144962","https://openalex.org/W2121193622","https://openalex.org/W2144513243","https://openalex.org/W2144902422","https://openalex.org/W2149933564","https://openalex.org/W2162888803","https://openalex.org/W2163605009","https://openalex.org/W2182396527","https://openalex.org/W2194775991","https://openalex.org/W2246782854","https://openalex.org/W2253429366","https://openalex.org/W2510834677","https://openalex.org/W2734358244","https://openalex.org/W2754478492","https://openalex.org/W2768705011","https://openalex.org/W2794022343","https://openalex.org/W2804935296","https://openalex.org/W2884065486","https://openalex.org/W2894522208","https://openalex.org/W2896549049","https://openalex.org/W2935033494","https://openalex.org/W2944378183","https://openalex.org/W2945765717","https://openalex.org/W2947706148","https://openalex.org/W2955425717","https://openalex.org/W2962973336","https://openalex.org/W2963026768","https://openalex.org/W2963466845","https://openalex.org/W2963518130","https://openalex.org/W2964250774","https://openalex.org/W2964299589","https://openalex.org/W2967536008","https://openalex.org/W2974885182","https://openalex.org/W2981720610","https://openalex.org/W2981848390","https://openalex.org/W2988294134","https://openalex.org/W2994588524","https://openalex.org/W2995049146","https://openalex.org/W3005343217","https://openalex.org/W3006943693","https://openalex.org/W3007237875","https://openalex.org/W3007684729","https://openalex.org/W3008127699","https://openalex.org/W3027095834","https://openalex.org/W3030163527","https://openalex.org/W3034418935","https://openalex.org/W3034704745","https://openalex.org/W3034942609","https://openalex.org/W3035203578","https://openalex.org/W3035219538","https://openalex.org/W3035990676","https://openalex.org/W3037648364","https://openalex.org/W3081410576","https://openalex.org/W3081798076","https://openalex.org/W3083720136","https://openalex.org/W3085596256","https://openalex.org/W3094882209","https://openalex.org/W3098033339","https://openalex.org/W3100156752","https://openalex.org/W3104240813","https://openalex.org/W3104335155","https://openalex.org/W3107728769","https://openalex.org/W3108365919","https://openalex.org/W3117575511","https://openalex.org/W3118251592","https://openalex.org/W3120402410","https://openalex.org/W3120793360","https://openalex.org/W3122921848","https://openalex.org/W3130674728","https://openalex.org/W3135156256","https://openalex.org/W3135897355","https://openalex.org/W3141797743","https://openalex.org/W3146787662","https://openalex.org/W3195577433","https://openalex.org/W4287123910","https://openalex.org/W4287752094","https://openalex.org/W4287758270","https://openalex.org/W4292779060","https://openalex.org/W4299518610","https://openalex.org/W4302286858","https://openalex.org/W4320013936","https://openalex.org/W6640963894","https://openalex.org/W6675354045","https://openalex.org/W6677580257","https://openalex.org/W6677944654","https://openalex.org/W6681151457","https://openalex.org/W6681302627","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6725495266","https://openalex.org/W6741263554","https://openalex.org/W6746493363","https://openalex.org/W6752381671","https://openalex.org/W6752934061","https://openalex.org/W6754951088","https://openalex.org/W6756577627","https://openalex.org/W6757575617","https://openalex.org/W6759992298","https://openalex.org/W6761507452","https://openalex.org/W6762718338","https://openalex.org/W6762744983","https://openalex.org/W6763301180","https://openalex.org/W6767329639","https://openalex.org/W6767362731","https://openalex.org/W6768532476","https://openalex.org/W6773362992","https://openalex.org/W6773778736","https://openalex.org/W6774542862","https://openalex.org/W6778883912","https://openalex.org/W6779520018","https://openalex.org/W6779742017","https://openalex.org/W6780052409","https://openalex.org/W6782325737","https://openalex.org/W6782436372","https://openalex.org/W6784731289","https://openalex.org/W6788827811","https://openalex.org/W6790857096","https://openalex.org/W6791760401","https://openalex.org/W6796874463","https://openalex.org/W6800751262","https://openalex.org/W6841207716","https://openalex.org/W6929452532","https://openalex.org/W6966372133"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W3162204513","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W4297821278"],"abstract_inverted_index":{"Abstract":[0],"Transfer":[1],"learning":[2,32,120],"can":[3,111],"significantly":[4],"improve":[5],"the":[6,14,49,76,82,87,90,95,130,133,142],"sample":[7],"efficiency":[8],"of":[9,28,42,57,75,97,115,118,144],"neural":[10],"networks,":[11],"by":[12,125],"exploiting":[13,126],"relatedness":[15],"between":[16,66,132],"a":[17,22,54,61,102,113],"data-scarce":[18],"target":[19,91],"task":[20],"and":[21],"data-abundant":[23],"source":[24,88],"task.":[25,92],"Despite":[26],"years":[27],"successful":[29],"applications,":[30],"transfer":[31,119,143],"practice":[33],"often":[34],"relies":[35],"on":[36,94],"ad-hoc":[37],"solutions,":[38],"while":[39],"theoretical":[40],"understanding":[41],"these":[43],"procedures":[44],"is":[45,146],"still":[46],"limited.":[47],"In":[48],"present":[50],"work,":[51],"we":[52,106,136],"re-think":[53],"solvable":[55],"model":[56,110],"synthetic":[58],"data":[59],"as":[60],"framework":[62],"for":[63,71,148],"modeling":[64],"correlation":[65,131],"data-sets.":[67],"This":[68],"setup":[69],"allows":[70],"an":[72],"analytic":[73],"characterization":[74],"generalization":[77],"performance":[78],"obtained":[79],"when":[80],"transferring":[81],"learned":[83],"feature":[84],"map":[85],"from":[86],"to":[89],"Focusing":[93],"problem":[96],"training":[98],"two-layer":[99],"networks":[100],"in":[101],"binary":[103],"classification":[104],"setting,":[105],"show":[107],"that":[108],"our":[109],"capture":[112],"range":[114],"salient":[116],"features":[117,145],"with":[121],"real":[122],"data.":[123],"Moreover,":[124],"parametric":[127],"control":[128],"over":[129],"two":[134],"data-sets,":[135],"systematically":[137],"investigate":[138],"under":[139],"which":[140],"conditions":[141],"beneficial":[147],"generalization.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}