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Improving Variational Autoencoders with Density Gap-based Regularization

Improving Variational Autoencoders with Density Gap-based Regularization

1 November 2022
Jianfei Zhang
Jun Bai
Chenghua Lin
Yanmeng Wang
Wenge Rong
    DRL
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Papers citing "Improving Variational Autoencoders with Density Gap-based Regularization"

4 / 4 papers shown
Title
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Jianfei Zhang
Jun Bai
Yangqiu Song
Yanmeng Wang
Rumei Li
Chenghua Lin
Wenge Rong
44
0
0
31 Dec 2024
On the Latent Holes of VAEs for Text Generation
On the Latent Holes of VAEs for Text Generation
Ruizhe Li
Xutan Peng
Chenghua Lin
52
4
0
07 Oct 2021
Pseudo Siamese Network for Few-shot Intent Generation
Pseudo Siamese Network for Few-shot Intent Generation
Congying Xia
Caiming Xiong
Philip Yu
ViT
58
21
0
03 May 2021
SentenceMIM: A Latent Variable Language Model
SentenceMIM: A Latent Variable Language Model
M. Livne
Kevin Swersky
David J. Fleet
VLM
46
6
0
18 Feb 2020
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