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1901.05534
Cited By
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
16 January 2019
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
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Papers citing
"Lagging Inference Networks and Posterior Collapse in Variational Autoencoders"
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Title
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Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
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Weiwei Pan
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Latent Feature-Guided Diffusion Models for Shadow Removal
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Luis Figueroa
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Boosting Summarization with Normalizing Flows and Aggressive Training
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16 Oct 2023
Language Models As Semantic Indexers
Bowen Jin
Hansi Zeng
Guoyin Wang
Xiusi Chen
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Hanqing Lu
Suhang Wang
Jiawei Han
Xianfeng Tang
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40
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Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
Benjamin Salmon
Alexander Krull
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11 Oct 2023
How good are variational autoencoders at transfer learning?
Lisa Bonheme
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23
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21 Apr 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
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23
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20 Feb 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
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Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang
Zan Wang
Puhao Li
Baoxiong Jia
Tengyu Liu
Yixin Zhu
Wei Liang
Song-Chun Zhu
DiffM
64
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15 Jan 2023
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
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Zhangyang Wang
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
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15 Nov 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
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Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
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27
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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
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Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
36
21
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13 Jul 2022
Identifiability of deep generative models without auxiliary information
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Goutham Rajendran
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Bryon Aragam
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How do Variational Autoencoders Learn? Insights from Representational Similarity
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M. Grzes
CoGe
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32
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Conditional
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A. Groener
BDL
DRL
24
10
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Language modeling via stochastic processes
Rose E. Wang
Esin Durmus
Noah D. Goodman
Tatsunori Hashimoto
BDL
AI4TS
40
24
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21 Mar 2022
Variational Autoencoders Without the Variation
Gregory A. Daly
J. Fieldsend
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31
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Jianwen Xie
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ViT
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Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler
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Chenghui Zhou
Andrej Risteski
DRL
36
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Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
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Caio Corro
DRL
21
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Simulated annealing for optimization of graphs and sequences
Xianggen Liu
Pengyong Li
Fandong Meng
Hao Zhou
Huasong Zhong
Jie Zhou
Lili Mou
Sen Song
49
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01 Oct 2021
Paraphrase Generation as Unsupervised Machine Translation
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Yufei Tian
Yuxian Meng
Nanyun Peng
Fei Wu
Jiwei Li
Chun Fan
LRM
22
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07 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang
Ying Nian Wu
24
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26 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity
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Seyoung Yun
32
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0
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Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
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40
3
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16 Jun 2021
Generative Text Modeling through Short Run Inference
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Erik Nijkamp
Tian Han
Ying Nian Wu
SyDa
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30
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CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding
Zhuoyi Yang
Wenyi Hong
Wendi Zheng
Chang Zhou
...
Junyang Lin
Xu Zou
Zhou Shao
Hongxia Yang
Jie Tang
ViT
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762
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26 May 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
481
0
08 Mar 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models
Severi Rissanen
Pekka Marttinen
CML
25
26
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12 Feb 2021
Neural representation and generation for RNA secondary structures
Zichao Yan
William L. Hamilton
Mathieu Blanchette
40
2
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01 Feb 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
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A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
Puyuan Peng
Herman Kamper
Karen Livescu
DRL
SSL
14
14
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Dirichlet Graph Variational Autoencoder
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
24
52
0
09 Oct 2020
Variational Disentanglement for Rare Event Modeling
Zidi Xiu
Chenyang Tao
M. Gao
Connor Davis
B. Goldstein
Ricardo Henao
CML
DRL
32
6
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Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
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Weiwei Pan
Finale Doshi-Velez
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27
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Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
31
53
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Learning Sparse Prototypes for Text Generation
Junxian He
Taylor Berg-Kirkpatrick
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27
23
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A Batch Normalized Inference Network Keeps the KL Vanishing Away
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Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
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34
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Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
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Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
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32
181
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Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
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Weiwei Pan
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21
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Paraphrase Generation with Latent Bag of Words
Yao Fu
Yansong Feng
John P. Cunningham
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25
91
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The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai
Ziyu Wang
David Wipf
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18
75
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Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
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Roger C. Grosse
Mohammad Norouzi
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Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
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Unsupervised Paraphrasing by Simulated Annealing
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Lili Mou
Fandong Meng
Hao Zhou
Jie Zhou
Sen Song
37
77
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1
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