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On Variational Learning of Controllable Representations for Text without
  Supervision
v1v2v3v4 (latest)

On Variational Learning of Controllable Representations for Text without Supervision

28 May 2019
Peng Xu
Jackie C.K. Cheung
Yanshuai Cao
    SSLDRL
ArXiv (abs)PDFHTML

Papers citing "On Variational Learning of Controllable Representations for Text without Supervision"

5 / 5 papers shown
Title
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of
  Scientific Concepts
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Sonia K. Murthy
Kyle Lo
Daniel King
Chandra Bhagavatula
Bailey Kuehl
Sophie Johnson
Jon Borchardt
Daniel S. Weld
Tom Hope
Doug Downey
79
12
0
14 May 2022
A Survey of Controllable Text Generation using Transformer-based
  Pre-trained Language Models
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
Hanqing Zhang
Haolin Song
Shaoyu Li
Ming Zhou
Dawei Song
138
228
0
14 Jan 2022
Exploring Controllable Text Generation Techniques
Exploring Controllable Text Generation Techniques
Shrimai Prabhumoye
A. Black
Ruslan Salakhutdinov
AI4CE
197
91
0
04 May 2020
Do sequence-to-sequence VAEs learn global features of sentences?
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc
Pascal Vincent
SSL
56
9
0
16 Apr 2020
Style Example-Guided Text Generation using Generative Adversarial
  Transformers
Style Example-Guided Text Generation using Generative Adversarial Transformers
Kuo-Hao Zeng
Mohammad Shoeybi
Ming-Yuan Liu
GAN
93
18
0
02 Mar 2020
1