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Polarized-VAE: Proximity Based Disentangled Representation Learning for
  Text Generation
v1v2 (latest)

Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation

22 April 2020
Vikash Balasubramanian
I. Kobyzev
Hareesh Bahuleyan
I. Shapiro
Olga Vechtomova
    OODCoGeDRL
ArXiv (abs)PDFHTML

Papers citing "Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation"

11 / 11 papers shown
Title
A Progressive Single-Modality to Multi-Modality Classification Framework
  for Alzheimer's Disease Sub-type Diagnosis
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
Yuxiao Liu
Mianxin Liu
Yuanwang Zhang
Kaicong Sun
Dinggang Shen
56
4
0
26 Jul 2024
Mitigating Negative Style Transfer in Hybrid Dialogue System
Mitigating Negative Style Transfer in Hybrid Dialogue System
Shimin Li
Qinyuan Cheng
Linyang Li
Xipeng Qiu
101
1
0
14 Dec 2022
Learning Explicit Credit Assignment for Cooperative Multi-Agent
  Reinforcement Learning via Polarization Policy Gradient
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Wubing Chen
Wenbin Li
Xiao Liu
Shangdong Yang
Yang Gao
69
6
0
10 Oct 2022
Learning Disentangled Representations of Negation and Uncertainty
Learning Disentangled Representations of Negation and Uncertainty
J. Vasilakes
Chrysoula Zerva
Makoto Miwa
Sophia Ananiadou
SSLOODUDCoGeDRL
90
16
0
01 Apr 2022
From Theories on Styles to their Transfer in Text: Bridging the Gap with
  a Hierarchical Survey
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey
Enrica Troiano
Aswathy Velutharambath
Roman Klinger
129
9
0
29 Oct 2021
Unsupervised Learning of Neurosymbolic Encoders
Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan
Jennifer J. Sun
Ann Kennedy
Yisong Yue
Swarat Chaudhuri
91
14
0
28 Jul 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on
  Synthetic Datasets
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
Lan Zhang
Victor Prokhorov
Ehsan Shareghi
CoGeDRL
40
3
0
07 Jun 2021
Transformer-Based Neural Text Generation with Syntactic Guidance
Transformer-Based Neural Text Generation with Syntactic Guidance
Yinghao Li
Rui Feng
Isaac Rehg
Chao Zhang
47
15
0
05 Oct 2020
Learning Sparse Sentence Encoding without Supervision: An Exploration of
  Sparsity in Variational Autoencoders
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
Victor Prokhorov
Yingzhen Li
Ehsan Shareghi
Nigel Collier
SSLDRL
16
1
0
25 Sep 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
158
30
0
31 Jul 2020
Constraining Variational Inference with Geometric Jensen-Shannon
  Divergence
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
J. Deasy
Nikola Simidjievski
Pietro Lio
DRL
91
30
0
18 Jun 2020
1