On the Low-density Latent Regions of VAE-based Language Models

Li, Ruizhe; Peng, Xutan; Lin, Chenghua; Rong, Wenge; Chen, Zhigang

On the Low-density Latent Regions of VAE-based Language Models

dc.contributor.author	Li, Ruizhe
dc.contributor.author	Peng, Xutan
dc.contributor.author	Lin, Chenghua
dc.contributor.author	Rong, Wenge
dc.contributor.author	Chen, Zhigang
dc.date.accessioned	2024-08-08T08:35:01Z
dc.date.available	2024-08-08T08:35:01Z
dc.date.issued	2021-07-08
dc.format.extent	15
dc.format.extent	644104
dc.identifier	251077107
dc.identifier	c646c551-7211-4833-93b3-ee3e480b9b56
dc.identifier	85153451989
dc.identifier.citation	Li, R, Peng, X, Lin, C, Rong, W & Chen, Z 2021, On the Low-density Latent Regions of VAE-based Language Models. in Proceedings of Machine Learning Research : NeurIPS 2020 Preregistration Workshop. vol. 148, Proceedings of Machine Learning Research, pp. 343-357, NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11/12/20. < https://proceedings.mlr.press/v148/li21a.html >	en
dc.identifier.citation	workshop	en
dc.identifier.issn	2640-3498
dc.identifier.other	ORCID: /0000-0003-2512-845X/work/138534411
dc.identifier.uri	https://hdl.handle.net/2164/23989
dc.identifier.url	https://preregister.science/neurips2020.html	en
dc.identifier.url	https://proceedings.mlr.press/v148/li21a.html	en
dc.identifier.vol	148	en
dc.language.iso	eng
dc.relation.ispartof	Proceedings of Machine Learning Research	en
dc.relation.ispartofseries	Proceedings of Machine Learning Research	en
dc.subject	variational autoencoder	en
dc.subject	low-density regions	en
dc.subject	latent holes	en
dc.subject	QA75 Electronic computers. Computer science	en
dc.subject.lcc	QA75	en
dc.title	On the Low-density Latent Regions of VAE-based Language Models	en
dc.type	Conference item	en

Files

Original bundle

Now showing 1 - 1 of 1

Name:: Li_etal_PMLR_On_The_Low-density_VoR.pdf
Size:: 629.01 KB
Format:: Adobe Portable Document Format

Download

Collections

All research