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Improving Variational Autoencoder for Text Modelling with Timestep-Wise
  Regularisation

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

2 November 2020
Ruizhe Li
Xiao Li
Guanyi Chen
Chenghua Lin
    DRL
ArXivPDFHTML

Papers citing "Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation"

4 / 4 papers shown
Title
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in
  Transformer-Based Variational AutoEncoder for Diverse Text Generation
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
DRL
27
0
0
22 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
28
5
0
26 Sep 2022
You Are What You Write: Preserving Privacy in the Era of Large Language
  Models
You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
40
19
0
20 Apr 2022
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with
  Pre-trained Transformers
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
Debanjan Chaudhuri
Md. Rony
Jens Lehmann
27
12
0
30 Mar 2021
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