On the low-density latent regions of VAE-based language models

Li, R., Peng, X., Lin, C. et al. (2 more authors) (2021) On the low-density latent regions of VAE-based language models. In: Bertinetto, L., Henriques, J.F., Albanie, S., Paganini, M. and Varol, G., (eds.) NeurIPS 2020 Workshop on Pre-registration in Machine Learning. NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11 Dec 2020, Virtual conference. Proceedings of Machine Learning Research (PMLR) (148). ML Research Press , pp. 343-357.

Abstract

Metadata

Authors/Creators:
  • Li, R.
  • Peng, X.
  • Lin, C.
  • Rong, W.
  • Chen, Z.
Copyright, Publisher and Additional Information: © 2021 The Authors. For reuse permissions please contact the authors.
Keywords: Variational Autoencoder; Low-density Regions; Latent Holes
Dates:
  • Published (online): 8 July 2021
  • Published: 8 July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/P011829/1
Ningbo Natural Science Foundation202003N4320; 202003N4321
Depositing User: Symplectic Sheffield
Date Deposited: 12 Aug 2021 09:14
Last Modified: 12 Aug 2021 09:14
Published Version: http://proceedings.mlr.press/v148/li21a.html
Status: Published
Publisher: ML Research Press
Series Name: Proceedings of Machine Learning Research (PMLR)
Refereed: Yes

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