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dc.contributor.authorAlet, Ferran
dc.contributor.authorLopez-Contreras, Javier
dc.contributor.authorKoppel, James
dc.contributor.authorNye, Maxwell
dc.contributor.authorSolar-Lezama, Armando
dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorKaelbling, Leslie
dc.contributor.authorTenenbaum, Joshua
dc.date.accessioned2022-07-14T18:32:00Z
dc.date.available2022-07-14T18:32:00Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143741
dc.language.isoen
dc.relation.isversionofhttp://proceedings.mlr.press/v139/alet21a.htmlen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceProceedings of Machine Learning Researchen_US
dc.titleA large-scale benchmark for few-shot program induction and synthesisen_US
dc.typeArticleen_US
dc.identifier.citationAlet, Ferran, Lopez-Contreras, Javier, Koppel, James, Nye, Maxwell, Solar-Lezama, Armando et al. 2021. "A large-scale benchmark for few-shot program induction and synthesis." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.relation.journalINTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-14T18:24:37Z
dspace.orderedauthorsAlet, F; Lopez-Contreras, J; Koppel, J; Nye, M; Solar-Lezama, A; Lozano-Perez, T; Kaelbling, L; Tenenbaum, Jen_US
dspace.date.submission2022-07-14T18:24:38Z
mit.journal.volume139en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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