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A Hybrid Convolutional Variational Autoencoder for Text Generation

A Hybrid Convolutional Variational Autoencoder for Text Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
8 February 2017
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Convolutional Variational Autoencoder for Text Generation"

50 / 101 papers shown
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage TasksApplied Ergonomics (Appl. Ergon.), 2025
Arafat Rahman
Sol Lim
Seokhyun Chung
FaML
295
1
0
08 Apr 2025
A Study of Posterior Stability for Time-Series Latent Diffusion
A Study of Posterior Stability for Time-Series Latent Diffusion
Yangming Li
M. Schaar
178
2
0
22 May 2024
Boosting Summarization with Normalizing Flows and Aggressive Training
Boosting Summarization with Normalizing Flows and Aggressive TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yu Yang
Xiaotong Shen
AI4CETPM
235
0
0
01 Nov 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian
  Inference
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceInternational Conference on Learning Representations (ICLR), 2023
Siqi Kou
Lei Gan
Yi Xu
Chongxuan Li
Zhijie Deng
BDLDiffM
217
11
0
17 Oct 2023
Methods for generating and evaluating synthetic longitudinal patient
  data: a systematic review
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja
Kari Auranen
Joni Virta
SyDa
286
4
0
21 Sep 2023
Feature Extraction Using Deep Generative Models for Bangla Text
  Classification on a New Comprehensive Dataset
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
Md Rafi Ur Rashid
Samiul Azam
M. Jonkman
VLM
83
0
0
21 Aug 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent
  Space
On the Adversarial Robustness of Generative Autoencoders in the Latent Space
Mingfei Lu
Badong Chen
AAMLDRL
306
6
0
05 Jul 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in
  Conditional and Hierarchical Variational Autoencoders
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational AutoencodersInternational Conference on Learning Representations (ICLR), 2023
Hien Dang
Tho Tran
T. Nguyen
Nhat Ho
CMLDRL
338
8
0
08 Jun 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for
  Variational Dialog Generation
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
204
1
0
24 May 2023
On the Creativity of Large Language Models
On the Creativity of Large Language ModelsAi & Society (AI & Society), 2023
Giorgio Franceschelli
Mirco Musolesi
780
100
0
27 Mar 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic
  Healthcare Records with Transformer
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with TransformerIEEE Journal of Translational Engineering in Health and Medicine (IEEE JTEHM), 2023
Zhaoyang Chen
Lina Siltala-Li
Mikko Lassila
Pekka Malo
Eeva Vilkkumaa
T. Saaresranta
A. Virkki
206
5
0
28 Jan 2023
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
170
3
0
15 Nov 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEsNeural Information Processing Systems (NeurIPS), 2022
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
316
5
0
26 Sep 2022
Amortized Variational Inference: A Systematic Review
Amortized Variational Inference: A Systematic ReviewJournal of Artificial Intelligence Research (JAIR), 2022
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
268
26
0
22 Sep 2022
Fair Inference for Discrete Latent Variable Models
Fair Inference for Discrete Latent Variable Models
Rashidul Islam
Shimei Pan
James R. Foulds
FaML
229
1
0
15 Sep 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
227
23
0
13 Jul 2022
Noun2Verb: Probabilistic frame semantics for word class conversion
Noun2Verb: Probabilistic frame semantics for word class conversionComputational Linguistics (CL), 2022
Lei Yu
Yang Xu
144
0
0
12 May 2022
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for
  Language Modeling
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Haoqin Tu
Zhongliang Yang
Jinshuai Yang
Yong Huang
200
13
0
12 May 2022
Assessing Dataset Bias in Computer Vision
Assessing Dataset Bias in Computer Vision
Athiya Deviyani
CVBM
142
10
0
03 May 2022
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target
  Generation
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target GenerationPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020
Tianyu Cui
Gaopeng Gou
G. Xiong
DRL
74
32
0
20 Apr 2022
Regularizing Variational Autoencoder with Diversity and Uncertainty
  Awareness
Regularizing Variational Autoencoder with Diversity and Uncertainty AwarenessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Dazhong Shen
Chuan Qin
Chao Wang
Hengshu Zhu
Enhong Chen
Hui Xiong
UQCV
138
21
0
24 Oct 2021
Learning Interpretable Representations of Entanglement in Quantum Optics
  Experiments using Deep Generative Models
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative ModelsNature Machine Intelligence (Nat. Mach. Intell.), 2021
Daniel Flam-Shepherd
Tony C Wu
Xuemei Gu
Alba Cervera-Lierta
Mario Krenn
Alán Aspuru-Guzik
DRL
152
26
0
06 Sep 2021
CatVRNN: Generating Category Texts via Multi-task Learning
CatVRNN: Generating Category Texts via Multi-task Learning
Pengsen Cheng
Jinqiao Dai
Jiayong Liu
GAN
171
4
0
12 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
242
1
0
05 Jul 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
138
3
0
16 Jun 2021
Learning Disentangled Representations for Time Series
Learning Disentangled Representations for Time Series
Yuening Li
Zhengzhang Chen
Daochen Zha
Mengnan Du
Denghui Zhang
Haifeng Chen
Helen Zhou
CoGeAI4TS
167
10
0
17 May 2021
Protein sequence design with deep generative models
Protein sequence design with deep generative modelsCurrent Opinion in Chemical Biology (Curr. Opin. Chem. Biol.), 2021
Zachary Wu
Kadina E. Johnston
F. Arnold
Kevin Kaichuang Yang
177
156
0
09 Apr 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
529
55
0
06 Apr 2021
Controllable and Diverse Text Generation in E-commerce
Controllable and Diverse Text Generation in E-commerceThe Web Conference (WWW), 2021
Huajie Shao
Jianing Wang
Haohong Lin
Xuezhou Zhang
Aston Zhang
Heng Ji
Tarek Abdelzaher
203
32
0
23 Feb 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text
  Generation
TextBox: A Unified, Modularized, and Extensible Framework for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Junyi Li
Tianyi Tang
Gaole He
Jinhao Jiang
Xiaoxuan Hu
Puzhao Xie
Zhipeng Chen
Zhuohao Yu
Wayne Xin Zhao
Ji-Rong Wen
306
27
0
06 Jan 2021
EVA: Generating Longitudinal Electronic Health Records Using Conditional
  Variational Autoencoders
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational AutoencodersMachine Learning in Health Care (MLHC), 2020
Siddharth Biswal
S. Ghosh
J. Duke
B. Malin
Walter F. Stewart
Jimeng Sun
SyDaBDLDRL
231
45
0
18 Dec 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise
  Regularisation
Improving Variational Autoencoder for Text Modelling with Timestep-Wise RegularisationInternational Conference on Computational Linguistics (COLING), 2020
Ruizhe Li
Xiao Li
Guanyi Chen
Chenghua Lin
DRL
208
17
0
02 Nov 2020
Generating Long Financial Report using Conditional Variational
  Autoencoders with Knowledge Distillation
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge DistillationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Yunpeng Ren
Ziao Wang
Yiyuan Wang
Xiaofeng Zhang
161
13
0
23 Oct 2020
Deep Sequence Learning for Video Anticipation: From Discrete and
  Deterministic to Continuous and Stochastic
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
S. Aliakbarian
AI4TS
125
0
0
09 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation
Plug and Play Autoencoders for Conditional Text Generation
Florian Mai
Nikolaos Pappas
Ivan Montero
Noah A. Smith
U. Washington
294
38
0
06 Oct 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
480
266
0
28 Aug 2020
Bayesian neural networks and dimensionality reduction
Bayesian neural networks and dimensionality reduction
Deborshee Sen
Theodore Papamarkou
David B. Dunson
BDL
250
5
0
18 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
353
29
0
31 Jul 2020
Artificial Neural Networks Jamming on the Beat
Artificial Neural Networks Jamming on the BeatInternational Conference on Complex Information Systems (ICCIS), 2020
Alexey Tikhonov
Ivan P. Yamshchikov
MGen
194
3
0
13 Jul 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models
CausaLM: Causal Model Explanation Through Counterfactual Language ModelsInternational Conference on Computational Logic (ICCL), 2020
Amir Feder
Nadav Oved
Uri Shalit
Roi Reichart
CMLLRM
541
178
0
27 May 2020
NLP in FinTech Applications: Past, Present and Future
NLP in FinTech Applications: Past, Present and Future
Chung-Chi Chen
Hen-Hsen Huang
Hsin-Hsi Chen
142
22
0
04 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
A Batch Normalized Inference Network Keeps the KL Vanishing AwayAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDLDRL
142
64
0
27 Apr 2020
Discrete Variational Attention Models for Language Generation
Discrete Variational Attention Models for Language Generation
Xianghong Fang
Haoli Bai
Zenglin Xu
Michael Lyu
Irwin King
DRL
207
0
0
21 Apr 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and
  Beyond
On the Encoder-Decoder Incompatibility in Variational Text Modeling and BeyondAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Chen Henry Wu
P. Wang
Wenjie Wang
DRL
108
4
0
20 Apr 2020
Data augmentation using generative networks to identify dementia
Data augmentation using generative networks to identify dementia
B. Mirheidari
Yilin Pan
D. Blackburn
R. O'Malley
Traci Walker
A. Venneri
M. Reuber
H. Christensen
MedIm
118
4
0
13 Apr 2020
Improving the Robustness of QA Models to Challenge Sets with Variational
  Question-Answer Pair Generation
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
OOD
195
12
0
07 Apr 2020
AriEL: volume coding for sentence generation
AriEL: volume coding for sentence generation
Luca Herranz-Celotti
Simon Brodeur
Jean Rouat
150
0
0
30 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders
Deterministic Decoding for Discrete Data in Variational AutoencodersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Daniil Polykovskiy
Dmitry Vetrov
OffRL
133
9
0
04 Mar 2020
A Stable Variational Autoencoder for Text Modelling
A Stable Variational Autoencoder for Text ModellingInternational Conference on Natural Language Generation (INLG), 2019
Ruizhe Li
Xiao Li
Chenghua Lin
Matthew Collinson
Rui Mao
DRLBDL
108
24
0
13 Nov 2019
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Teng Long
Yanshuai Cao
Jackie C.K. Cheung
129
7
0
10 Nov 2019
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