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
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 21 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 21 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 20 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 J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 42 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 35 183 0 15 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 24 2 0 15 Nov 2022
Circling Back to Recurrent Models of Language Gábor Melis 34 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 24 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
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 21 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 18 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 71 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 15 3 0 28 Oct 2021
Regularizing Transformers With Deep Probabilistic Layers Aurora Cobo Aguilera Pablo Martínez Olmos Antonio Artés-Rodríguez Fernando Pérez-Cruz 29 7 0 23 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 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 18 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 23 12 0 08 Jun 2021
Generative Text Modeling through Short Run Inference Bo Pang Erik Nijkamp Tian Han Ying Nian Wu SyDa BDL DRL 22 5 0 27 May 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 26 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 27 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 13 4 0 17 Mar 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 9 39 0 21 Dec 2019
Probabilistic Forecasting using Deep Generative Models A. Fanfarillo B. Roozitalab Weiming Hu G. Cervone 17 17 0 26 Sep 2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs Mark Collier Hector Urdiales DRL 26 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 83 0 24 Aug 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning Dayiheng Liu Jie Fu Yidan Zhang C. Pal Jiancheng Lv DRL 33 48 0 29 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 22 27 0 17 Apr 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 14 272 0 16 Jan 2019
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 23 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 10 45 0 17 Jul 2018
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation Hareesh Bahuleyan Lili Mou Hao Zhou Olga Vechtomova BDL DRL 19 6 0 22 Jun 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 30 243 0 07 Feb 2018
Improving Variational Encoder-Decoders in Dialogue Generation Xiaoyu Shen Hui Su Shuzi Niu Vera Demberg DRL 24 99 0 06 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 23 4,822 0 02 Nov 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Erik Cambria DRL 13 86 0 15 Sep 2017