A Hybrid Convolutional Variational Autoencoder for Text Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017

8 February 2017

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

50 / 101 papers shown

Title
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Methods for generating and evaluating synthetic longitudinal patient data: a systematic review Katariina Perkonoja Kari Auranen Joni Virta SyDa 242 4 0 21 Sep 2023
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset Md Rafi Ur Rashid Samiul Azam M. Jonkman VLM 74 0 0 21 Aug 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 266 6 0 05 Jul 2023
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 CML DRL 250 8 0 08 Jun 2023
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 164 1 0 24 May 2023
On the Creativity of Large Language ModelsAi & Society (AI & Society), 2023 Giorgio Franceschelli Mirco Musolesi 699 94 0 27 Mar 2023
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 170 5 0 28 Jan 2023
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 153 3 0 15 Nov 2022
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 285 5 0 26 Sep 2022
Amortized Variational Inference: A Systematic ReviewJournal of Artificial Intelligence Research (JAIR), 2022 Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 235 26 0 22 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 218 1 0 15 Sep 2022
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 214 23 0 13 Jul 2022
Noun2Verb: Probabilistic frame semantics for word class conversionComputational Linguistics (CL), 2022 Lei Yu Yang Xu 113 0 0 12 May 2022
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling Haoqin Tu Zhongliang Yang Jinshuai Yang Yong Huang 187 13 0 12 May 2022
Assessing Dataset Bias in Computer Vision Athiya Deviyani CVBM 134 10 0 03 May 2022
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 AwarenessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Dazhong Shen Chuan Qin Chao Wang Hengshu Zhu Enhong Chen Hui Xiong UQCV 115 21 0 24 Oct 2021
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 136 26 0 06 Sep 2021
CatVRNN: Generating Category Texts via Multi-task Learning Pengsen Cheng Jinqiao Dai Jiayong Liu GAN 163 3 0 12 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 206 1 0 05 Jul 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 121 3 0 16 Jun 2021
Learning Disentangled Representations for Time Series Yuening Li Zhengzhang Chen Daochen Zha Mengnan Du Denghui Zhang Haifeng Chen Helen Zhou CoGe AI4TS 155 10 0 17 May 2021
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 169 155 0 09 Apr 2021
Creativity and Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Giorgio Franceschelli Mirco Musolesi VLM AI4CE 461 54 0 06 Apr 2021
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 155 32 0 23 Feb 2021
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 262 27 0 06 Jan 2021
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 SyDa BDL DRL 223 45 0 18 Dec 2020
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 188 17 0 02 Nov 2020
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 153 13 0 23 Oct 2020
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic S. Aliakbarian AI4TS 101 0 0 09 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation Florian Mai Nikolaos Pappas Ivan Montero Noah A. Smith U. Washington 254 38 0 06 Oct 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 429 264 0 28 Aug 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 249 5 0 18 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 305 29 0 31 Jul 2020
Artificial Neural Networks Jamming on the BeatInternational Conference on Complex Information Systems (ICCIS), 2020 Alexey Tikhonov Ivan P. Yamshchikov MGen 170 3 0 13 Jul 2020
CausaLM: Causal Model Explanation Through Counterfactual Language ModelsInternational Conference on Computational Logic (ICCL), 2020 Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 452 178 0 27 May 2020
NLP in FinTech Applications: Past, Present and Future Chung-Chi Chen Hen-Hsen Huang Hsin-Hsi Chen 128 22 0 04 May 2020
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 BDL DRL 133 64 0 27 Apr 2020
Discrete Variational Attention Models for Language Generation Xianghong Fang Haoli Bai Zenglin Xu Michael Lyu Irwin King DRL 175 0 0 21 Apr 2020
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 96 4 0 20 Apr 2020
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 110 4 0 13 Apr 2020
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 174 12 0 07 Apr 2020
AriEL: volume coding for sentence generation Luca Herranz-Celotti Simon Brodeur Jean Rouat 130 0 0 30 Mar 2020
Deterministic Decoding for Discrete Data in Variational AutoencodersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Daniil Polykovskiy Dmitry Vetrov OffRL 113 9 0 04 Mar 2020
A Stable Variational Autoencoder for Text ModellingInternational Conference on Natural Language Generation (INLG), 2019 Ruizhe Li Xiao Li Chenghua Lin Matthew Collinson Rui Mao DRL BDL 96 24 0 13 Nov 2019
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs Teng Long Yanshuai Cao Jackie C.K. Cheung 102 7 0 10 Nov 2019