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1908.11527
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Implicit Deep Latent Variable Models for Text Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
30 August 2019
Le Fang
Chunyuan Li
Jianfeng Gao
Wen Dong
Changyou Chen
DRL
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Papers citing
"Implicit Deep Latent Variable Models for Text Generation"
38 / 38 papers shown
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PoKE: Prior Knowledge Enhanced Emotional Support Conversation with Latent Variable
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174
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PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
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136
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Hidden Schema Networks
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
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Latent Diffusion Energy-Based Model for Interpretable Text Modeling
International Conference on Machine Learning (ICML), 2022
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Sirui Xie
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147
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AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
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207
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DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Wei Chen
Yeyun Gong
Song Wang
Bolun Yao
Weizhen Qi
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Bartuer Zhou
Yi Mao
Weizhu Chen
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Nan Duan
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27 Apr 2022
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey
Natural Language Engineering (NLE), 2021
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Aswathy Velutharambath
Roman Klinger
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Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
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Chuan Qin
Chao Wang
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144
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24 Oct 2021
On the Latent Holes of VAEs for Text Generation
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Xutan Peng
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200
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Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
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André Freitas
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187
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15 Sep 2021
Consistency Regularization for Variational Auto-Encoders
Neural Information Processing Systems (NeurIPS), 2021
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Semantic Representation for Dialogue Modeling
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Xuefeng Bai
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217
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ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Weizhen Qi
Yeyun Gong
Yu Yan
Can Xu
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Daxin Jiang
Jiusheng Chen
Ruofei Zhang
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Nan Duan
169
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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
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Tao Zeng
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270
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Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Le Fang
Tao Zeng
Chao-Ning Liu
Liefeng Bo
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182
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Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
International Conference on Computational Linguistics (COLING), 2020
Ruizhe Li
Xiao Li
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211
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DGST: a Dual-Generator Network for Text Style Transfer
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94
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354
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APo-VAE: Text Generation in Hyperbolic Space
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195
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A Batch Normalized Inference Network Keeps the KL Vanishing Away
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Xiyao Ma
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Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
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Qinliang Su
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194
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Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
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SSL
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466
194
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SentenceMIM: A Latent Variable Language Model
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Kevin Swersky
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232
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Contextually Plausible and Diverse 3D Human Motion Prediction
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F. Saleh
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226
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On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Teng Long
Yanshuai Cao
Jackie C.K. Cheung
135
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PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
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Siqi Bao
H. He
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242
284
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Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
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D. Insua
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306
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