| dc.contributor.author | Du, Yilun | |
| dc.contributor.author | Li, Shuang | |
| dc.contributor.author | Tenenbaum, Joshua | |
| dc.contributor.author | Mordatch, Igor | |
| dc.date.accessioned | 2023-04-04T15:53:14Z | |
| dc.date.available | 2023-04-04T15:53:14Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/150393 | |
| dc.language.iso | en | |
| 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 | Improved Contrastive Divergence Training of Energy-Based Models | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Du, Yilun, Li, Shuang, Tenenbaum, Joshua and Mordatch, Igor. 2021. "Improved Contrastive Divergence Training of Energy-Based Models." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
| 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 | 2023-04-04T15:49:37Z | |
| dspace.orderedauthors | Du, Y; Li, S; Tenenbaum, J; Mordatch, I | en_US |
| dspace.date.submission | 2023-04-04T15:49:45Z | |
| mit.journal.volume | 139 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
