Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

27 February 2017

Zichao Yang

Zhiting Hu

Ruslan Salakhutdinov

Taylor Berg-Kirkpatrick

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Papers citing "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"

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Title
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 35 1 0 02 Apr 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 44 1 0 24 Feb 2024
Latent Feature-Guided Diffusion Models for Shadow Removal Kangfu Mei Luis Figueroa Zhe-nan Lin Zhihong Ding Scott D. Cohen Vishal M. Patel DiffM 26 18 0 04 Dec 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 24 0 0 01 Nov 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling Jingcheng Deng Liang Pang Huawei Shen Xueqi Cheng RALM 23 10 0 16 Oct 2023
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition Qianhui Men Edmond S. L. Ho Hubert P. H. Shum Howard Leung SSL 25 19 0 03 Apr 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling Jiadong Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 45 4 0 17 Feb 2023
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 41 183 0 15 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 27 2 0 15 Nov 2022
Circling Back to Recurrent Models of Language Gábor Melis 40 0 0 03 Nov 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 23 5 0 26 Sep 2022
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders David Bethge Philipp Hallgarten T. Große-Puppendahl Mohamed Kari L. Chuang Ozan Özdenizci Albrecht Schmidt DRL 27 27 0 16 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 24 21 0 13 Jul 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification Kunze Wang S. Han Siqu Long Josiah Poon 24 20 0 10 Apr 2022
Action2video: Generating Videos of Human 3D Actions Chuan Guo Wei Ji Sen Wang Xinshuang Liu Shihao Zou Minglun Gong Li Cheng 3DH 73 22 0 12 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation Shivani Malhotra Vinay Kumar A. K. Agarwal DRL 11 0 0 10 Nov 2021
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization Alban Petit Caio Corro DRL 21 3 0 28 Oct 2021
Regularizing Transformers With Deep Probabilistic Layers Aurora Cobo Aguilera Pablo Martínez Olmos Antonio Artés-Rodríguez Fernando Pérez-Cruz 32 7 0 23 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 32 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 40 3 0 16 Jun 2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance Masaru Isonuma Junichiro Mori Danushka Bollegala Ichiro Sakata 21 27 0 15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
NWT: Towards natural audio-to-video generation with representation learning Rayhane Mama Marc S. Tyndel Hashiam Kadhim Cole Clifford Ragavan Thurairatnam VGen 29 12 0 08 Jun 2021
Generative Text Modeling through Short Run Inference Bo Pang Erik Nijkamp Tian Han Ying Nian Wu SyDa BDL DRL 30 5 0 27 May 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 29 5 0 23 May 2021
Deep Learning Models in Software Requirements Engineering Maria Naumcheva 23 5 0 17 May 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation Junyi Li Tianyi Tang Gaole He Jinhao Jiang Xiaoxuan Hu Puzhao Xie Zhipeng Chen Zhuohao Yu Wayne Xin Zhao Ji-Rong Wen 37 25 0 06 Jan 2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation Le Fang Tao Zeng Chao-Ning Liu Liefeng Bo Wen Dong Changyou Chen DRL 49 59 0 04 Jan 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 30 37 0 31 Dec 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 29 5 0 19 Jun 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 31 13 0 08 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 34 61 0 27 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space Chunyuan Li Xiang Gao Yuan Li Baolin Peng Xiujun Li Yizhe Zhang Jianfeng Gao SSL DRL 32 181 0 05 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 21 4 0 17 Mar 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 14 39 0 21 Dec 2019
Probabilistic Forecasting using Deep Generative Models A. Fanfarillo B. Roozitalab Weiming Hu G. Cervone 22 17 0 26 Sep 2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs Mark Collier Hector Urdiales DRL 31 3 0 18 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text Bohan Li Junxian He Graham Neubig Taylor Berg-Kirkpatrick Yiming Yang DRL 11 70 0 02 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 14 39 0 23 Jun 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning Dayiheng Liu Jie Fu Yidan Zhang C. Pal Jiancheng Lv DRL 36 48 0 29 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
Topic-Guided Variational Autoencoders for Text Generation Wenlin Wang Zhe Gan Hongteng Xu Ruiyi Zhang Guoyin Wang Dinghan Shen Changyou Chen Lawrence Carin BDL 24 126 0 17 Mar 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 16 272 0 16 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 15 39 0 06 Jan 2019
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang ... Zhengzhong Liu Xiaodan Liang Wangrong Zhu Devendra Singh Sachan Eric P. Xing VLM 17 56 0 04 Sep 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 31 16 0 05 Aug 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 16 45 0 17 Jul 2018