Improved Contrastive Divergence Training of Energy-Based Models

Bibliographic Details
Main Authors: Du, Yilun, Li, Shuang, Tenenbaum, Joshua, Mordatch, Igor
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: 2023
Online Access:https://hdl.handle.net/1721.1/150393
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author Du, Yilun
Li, Shuang
Tenenbaum, Joshua
Mordatch, Igor
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Du, Yilun
Li, Shuang
Tenenbaum, Joshua
Mordatch, Igor
author_sort Du, Yilun
collection MIT
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institution Massachusetts Institute of Technology
language English
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spelling mit-1721.1/1503932023-04-05T03:15:54Z Improved Contrastive Divergence Training of Energy-Based Models Du, Yilun Li, Shuang Tenenbaum, Joshua Mordatch, Igor Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences 2023-04-04T15:53:14Z 2023-04-04T15:53:14Z 2021 2023-04-04T15:49:37Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/150393 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. en INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139 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. application/pdf Proceedings of Machine Learning Research
spellingShingle Du, Yilun
Li, Shuang
Tenenbaum, Joshua
Mordatch, Igor
Improved Contrastive Divergence Training of Energy-Based Models
title Improved Contrastive Divergence Training of Energy-Based Models
title_full Improved Contrastive Divergence Training of Energy-Based Models
title_fullStr Improved Contrastive Divergence Training of Energy-Based Models
title_full_unstemmed Improved Contrastive Divergence Training of Energy-Based Models
title_short Improved Contrastive Divergence Training of Energy-Based Models
title_sort improved contrastive divergence training of energy based models
url https://hdl.handle.net/1721.1/150393
work_keys_str_mv AT duyilun improvedcontrastivedivergencetrainingofenergybasedmodels
AT lishuang improvedcontrastivedivergencetrainingofenergybasedmodels
AT tenenbaumjoshua improvedcontrastivedivergencetrainingofenergybasedmodels
AT mordatchigor improvedcontrastivedivergencetrainingofenergybasedmodels