dc.contributor.author | Fu, Xiang | |
dc.contributor.author | Yang, Ge | |
dc.contributor.author | Agrawal, Pulkit | |
dc.contributor.author | Jaakkola, Tommi | |
dc.date.accessioned | 2022-05-24T19:08:24Z | |
dc.date.available | 2022-05-24T19:08:24Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/142678 | |
dc.language.iso | en | |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | Learning Task Informed Abstractions | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Fu, Xiang, Yang, Ge, Agrawal, Pulkit and Jaakkola, Tommi. 2021. "Learning Task Informed Abstractions." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139. | |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
dc.relation.journal | INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139 | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-05-24T18:54:42Z | |
dspace.orderedauthors | Fu, X; Yang, G; Agrawal, P; Jaakkola, T | en_US |
dspace.date.submission | 2022-05-24T18:54:48Z | |
mit.journal.volume | 139 | en_US |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |