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1611.02731
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Variational Lossy Autoencoder
8 November 2016
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
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Papers citing
"Variational Lossy Autoencoder"
50 / 398 papers shown
Cauchy-Schwarz Regularized Autoencoder
Journal of machine learning research (JMLR), 2021
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228
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06 Jan 2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
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Xiao Ma
Chen Xu
Haiyu Zhao
Shuai Yi
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237
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06 Jan 2021
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
Findings (Findings), 2020
Jiatao Gu
X. Kong
234
144
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31 Dec 2020
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Neural Information Processing Systems (NeurIPS), 2020
Huangjie Zheng
Mingyuan Zhou
OT
613
31
0
28 Dec 2020
Regularization with Latent Space Virtual Adversarial Training
European Conference on Computer Vision (ECCV), 2020
Genki Osada
Budrul Ahsan
Revoti Prasad Bora
Takashi Nishide
184
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0
26 Nov 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning
Journal of machine learning research (JMLR), 2020
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Maurizio Filippone
OOD
BDL
293
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25 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
International Conference on Learning Representations (ICLR), 2020
R. Child
BDL
VLM
432
380
0
20 Nov 2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging
IEEE Transactions on Medical Imaging (TMI), 2020
Qingjie Meng
Jacqueline Matthew
V. Zimmer
Alberto Gómez
D. Lloyd
Daniel Rueckert
Bernhard Kainz
OOD
178
40
0
30 Oct 2020
Text Style Transfer: A Review and Experimental Evaluation
SIGKDD Explorations (SIGKDD Explor.), 2020
Zhiqiang Hu
Roy Ka-wei Lee
Charu C. Aggarwal
Aston Zhang
AI4TS
367
34
0
24 Oct 2020
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures
Minghan Li
He Bai
Luchen Tan
Kun Xiong
Ming Li
Jimmy J. Lin
FedML
134
1
0
21 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing
O. Pastor-Serrano
D. Lathouwers
Zoltán Perkó
MedIm
AI4TS
74
0
0
19 Oct 2020
Variational Capsule Encoder
International Conference on Pattern Recognition (ICPR), 2020
Harish RaviPrakash
Syed Muhammad Anwar
Ulas Bagci
BDL
DRL
99
2
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18 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors
J. Aneja
Alex Schwing
Jan Kautz
Arash Vahdat
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515
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06 Oct 2020
Self-Supervised Variational Auto-Encoders
Ioannis Gatopoulos
Jakub M. Tomczak
129
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0
05 Oct 2020
Generating Dialogue Responses from a Semantic Latent Space
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wei-Jen Ko
Avik Ray
Yilin Shen
Hongxia Jin
VLM
186
6
0
04 Oct 2020
EEG to fMRI Synthesis: Is Deep Learning a candidate?
David Calhas
Rui Henriques
MedIm
115
9
0
29 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
International Conference on Machine Learning (ICML), 2020
Markos Georgopoulos
Grigorios G. Chrysos
Maja Pantic
Yannis Panagakis
GAN
DRL
172
18
0
09 Sep 2020
Adversarial Learning for Counterfactual Fairness
Machine-mediated learning (ML), 2020
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
FaML
181
28
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30 Aug 2020
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
Generate High Resolution Images With Generative Variational Autoencoder
Abhinav Sagar
GAN
DRL
167
3
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12 Aug 2020
Complete parameter inference for GW150914 using deep learning
Stephen R. Green
J. Gair
BDL
158
105
0
07 Aug 2020
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
Valentin Liévin
Andrea Dittadi
Anders Christensen
Ole Winther
DRL
208
6
0
05 Aug 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Roman Klokov
Edmond Boyer
Jakob Verbeek
3DPC
203
124
0
20 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
CML
DRL
451
29
0
14 Jul 2020
Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou
Elan Rosenfeld
A. Dubrawski
OOD
BDL
DRL
134
0
0
10 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2020
Arash Vahdat
Jan Kautz
BDL
569
1,048
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08 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
Rogan Morrow
Wei-Chen Chiu
DRL
132
0
0
07 Jul 2020
Gradient Origin Networks
Sam Bond-Taylor
Chris G. Willcocks
BDL
DRL
365
19
0
06 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders
International Conference on Machine Learning (ICML), 2020
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
299
111
0
23 Jun 2020
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression
Ronald Yu
BDL
160
26
0
18 Jun 2020
Density Deconvolution with Normalizing Flows
Tim Dockhorn
James A. Ritchie
Yaoliang Yu
Iain Murray
DRL
166
6
0
16 Jun 2020
A Generative Model for Joint Natural Language Understanding and Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Bo-Hsiang Tseng
Jianpeng Cheng
Yimai Fang
David Vandyke
159
24
0
12 Jun 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
234
32
0
09 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim
Aaron Courville
C. Pal
Chin-Wei Huang
DRL
171
24
0
09 Jun 2020
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors
Andriy Serdega
Dae-Shik Kim
DRL
73
0
0
02 Jun 2020
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors
Andriy Serdega
Dae-Shik Kim
DRL
119
4
0
28 May 2020
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch
A. Tal
AAML
95
0
0
18 May 2020
Variational Hyper-Encoding Networks
Phuoc Nguyen
T. Tran
Sunil R. Gupta
Santu Rana
H. Dam
Svetha Venkatesh
BDL
DRL
155
4
0
18 May 2020
Deep Latent-Variable Kernel Learning
Haitao Liu
Yew-Soon Ong
Xiaomo Jiang
Xiaofang Wang
BDL
199
9
0
18 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
143
10
0
12 May 2020
Lossy Compression with Distortion Constrained Optimization
T. V. Rozendaal
Guillaume Sautière
Taco S. Cohen
155
14
0
08 May 2020
Variance Constrained Autoencoding
D. Braithwaite
M. O'Connor
W. Kleijn
DRL
49
1
0
08 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Annual 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
142
64
0
27 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
Yang Zhao
Ping Yu
Suchismit Mahapatra
Qinliang Su
Changyou Chen
DRL
190
2
0
22 Apr 2020
Do sequence-to-sequence VAEs learn global features of sentences?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tom Bosc
Pascal Vincent
SSL
190
9
0
16 Apr 2020
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Kangning Liu
Shuhang Gu
Andrés Romero
Radu Timofte
135
12
0
14 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders
Rogan Morrow
Wei-Chen Chiu
DRL
112
20
0
12 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma
X. Kong
Shanghang Zhang
Eduard H. Hovy
DRL
210
3
0
12 Apr 2020
SR2CNN: Zero-Shot Learning for Signal Recognition
IEEE Transactions on Signal Processing (TSP), 2020
Yihong Dong
Xiaohan Jiang
Huaji Zhou
Yun Lin
Qingjiang Shi
262
108
0
10 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi
David J. Fleet
Mohammad Norouzi
VLM
DRL
155
3
0
09 Apr 2020
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