| dc.contributor.author | Wong, Eric | |
| dc.contributor.author | Santurkar, Shibani | |
| dc.contributor.author | Madry, Aleksander | |
| dc.date.accessioned | 2022-07-15T18:07:27Z | |
| dc.date.available | 2022-07-15T18:07:27Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143779 | |
| dc.language.iso | en | |
| dc.relation.isversionof | https://proceedings.mlr.press/v139/wong21b.html | en_US |
| dc.rights | Article 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.source | Proceedings of Machine Learning Research | en_US |
| dc.title | Leveraging Sparse Linear Layers for Debuggable Deep Networks | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Wong, Eric, Santurkar, Shibani and Madry, Aleksander. 2021. "Leveraging Sparse Linear Layers for Debuggable Deep Networks." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| 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 | Final published version | 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 | 2022-07-15T17:56:28Z | |
| dspace.orderedauthors | Wong, E; Santurkar, S; Madry, A | en_US |
| dspace.date.submission | 2022-07-15T17:56:34Z | |
| mit.journal.volume | 139 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
