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Finetuning Pretrained Transformers into Variational Autoencoders

Finetuning Pretrained Transformers into Variational Autoencoders

5 August 2021
Seongmin Park
Jihwa Lee
ArXivPDFHTML

Papers citing "Finetuning Pretrained Transformers into Variational Autoencoders"

5 / 5 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
46
0
0
31 Dec 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
43
8
0
06 Mar 2024
An Overview on Controllable Text Generation via Variational
  Auto-Encoders
An Overview on Controllable Text Generation via Variational Auto-Encoders
Haoqin Tu
Yitong Li
BDL
32
2
0
15 Nov 2022
A Variational AutoEncoder for Transformers with Nonparametric
  Variational Information Bottleneck
A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck
James Henderson
Fabio Fehr
DRL
29
3
0
27 Jul 2022
Transformer-based Conditional Variational Autoencoder for Controllable
  Story Generation
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Le Fang
Tao Zeng
Chao-Ning Liu
Liefeng Bo
Wen Dong
Changyou Chen
DRL
59
59
0
04 Jan 2021
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