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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
Normalizing Flows with Multi-Scale Autoregressive Priors
Computer Vision and Pattern Recognition (CVPR), 2020
Shweta Mahajan
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
Stefan Roth
BDL
DRL
145
19
0
08 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Symposium on Advances in Approximate Bayesian Inference (AABI), 2020
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
148
4
0
17 Mar 2020
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder
IEEE International Joint Conference on Neural Network (IJCNN), 2020
André Mendes
Julian Togelius
L. Coelho
73
2
0
15 Mar 2020
On the benefits of defining vicinal distributions in latent space
Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
Puneet Mangla
Vedant Singh
Shreyas Jayant Havaldar
V. Balasubramanian
AAML
211
4
0
14 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Daniil Polykovskiy
Dmitry Vetrov
OffRL
133
9
0
04 Mar 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement
Qingjie Meng
Daniel Rueckert
Bernhard Kainz
OOD
DRL
167
12
0
29 Feb 2020
Gradient Boosted Normalizing Flows
Robert Giaquinto
A. Banerjee
BDL
DRL
269
1
0
27 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation
International Conference on Machine Learning (ICML), 2020
Jianfei Chen
Cheng Lu
Biqi Chenli
Jun Zhu
Tian Tian
DRL
191
62
0
22 Feb 2020
Gravitational-wave parameter estimation with autoregressive neural network flows
Stephen R. Green
C. Simpson
J. Gair
BDL
199
100
0
18 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
300
92
0
17 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck
International Conference on Learning Representations (ICLR), 2020
Marco Federici
Anjan Dutta
Patrick Forré
Nate Kushman
Zeynep Akata
SLR
254
304
0
17 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
International Conference on Learning Representations (ICLR), 2020
Shweta Mahajan
Iryna Gurevych
Stefan Roth
DRL
167
38
0
16 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors
International Conference on Machine Learning (ICML), 2020
Dimitris Kalatzis
David Eklund
Georgios Arvanitidis
Søren Hauberg
BDL
DRL
342
54
0
12 Feb 2020
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
International Conference on Information Photonics (ICIP), 2020
Jiawei Li
Jae Chul Koh
Won-sook Lee
MedIm
104
8
0
11 Feb 2020
Residual-Recursion Autoencoder for Shape Illustration Images
Q. Zhou
Peng Tao
Xiaoxin Li
Shengyong Chen
Fan Zhang
Haigen Hu
87
1
0
06 Feb 2020
Gesticulator: A framework for semantically-aware speech-driven gesture generation
International Conference on Multimodal Interaction (ICMI), 2020
Taras Kucherenko
Patrik Jonell
S. V. Waveren
G. Henter
Simon Alexanderson
Iolanda Leite
Hedvig Kjellström
SLR
300
198
0
25 Jan 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Kang Min Yoo
Hanbit Lee
Franck Dernoncourt
Trung Bui
W. Chang
Sang-goo Lee
BDL
233
25
0
23 Jan 2020
Invertible Generative Modeling using Linear Rational Splines
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
H. M. Dolatabadi
S. Erfani
C. Leckie
381
67
0
15 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
International Conference on Machine Learning (ICML), 2019
Bin Dai
Ziyu Wang
David Wipf
DRL
165
82
0
23 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
International Symposium on Information Theory (ISIT), 2019
Ali Lotfi-Rezaabad
S. Vishwanath
DRL
SSL
147
43
0
21 Dec 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
Asian Conference on Computer Vision (ACCV), 2019
Riddhish Bhalodia
Iain Lee
Shireen Y. Elhabian
DRL
271
11
0
24 Nov 2019
Mixed-curvature Variational Autoencoders
International Conference on Learning Representations (ICLR), 2019
Ondrej Skopek
O. Ganea
Gary Bécigneul
CML
DRL
BDL
262
112
0
19 Nov 2019
Safe Interactive Model-Based Learning
Marco Gallieri
Seyed Sina Mirrazavi Salehian
N. E. Toklu
A. Quaglino
Jonathan Masci
Jan Koutník
Faustino J. Gomez
203
14
0
15 Nov 2019
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Ryo Kamoi
Kei Kobayashi
111
2
0
15 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Neural Information Processing Systems (NeurIPS), 2019
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
255
196
0
06 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Neural Networks (NN), 2019
Weihao Xia
Yujiu Yang
Jing-Hao Xue
196
16
0
02 Nov 2019
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Talip Uçar
104
1
0
31 Oct 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions
Neural Information Processing Systems (NeurIPS), 2019
Dieterich Lawson
George Tucker
Bo Dai
Rajesh Ranganath
298
32
0
31 Oct 2019
Bridging the ELBO and MMD
Talip Uçar
DRL
74
4
0
29 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Neural Information Processing Systems (NeurIPS), 2019
Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
GAN
90
19
0
29 Oct 2019
Customizing Sequence Generation with Multi-Task Dynamical Systems
Alex Bird
Christopher K. I. Williams
AI4CE
180
11
0
11 Oct 2019
MIM: Mutual Information Machine
M. Livne
Kevin Swersky
David J. Fleet
DRL
197
8
0
08 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference
M. Livne
Kevin Swersky
David J. Fleet
SSL
DRL
128
0
0
04 Oct 2019
Deep Amortized Clustering
Juho Lee
Yoonho Lee
Yee Whye Teh
FedML
136
23
0
30 Sep 2019
Improved Variational Neural Machine Translation by Promoting Mutual Information
Arya D. McCarthy
Xian Li
Jiatao Gu
Ning Dong
DRL
110
8
0
19 Sep 2019
Refined
α
α
α
-Divergence Variational Inference via Rejection Sampling
Rahul Sharma
Abhishek Kumar
Piyush Rai
122
0
0
17 Sep 2019
ρ
ρ
ρ
-VAE: Autoregressive parametrization of the VAE encoder
Sohrab Ferdowsi
M. Diephuis
Shideh Rezaeifar
Svyatoslav Voloshynovskiy
66
3
0
13 Sep 2019
Unsupervised Paraphrasing by Simulated Annealing
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Xianggen Liu
Lili Mou
Fandong Meng
Hao Zhou
Jie Zhou
Sen Song
251
78
0
09 Sep 2019
Improving Disentangled Representation Learning with the Beta Bernoulli Process
Industrial Conference on Data Mining (IDM), 2019
P. Gyawali
Zhiyuan Li
Cameron Knight
S. Ghimire
B. Horácek
J. Sapp
Linwei Wang
CML
CoGe
DRL
129
13
0
03 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
141
73
0
02 Sep 2019
Maximizing Mutual Information for Tacotron
Yezhaohui Wang
Xixin Wu
Shiyin Kang
Guangzhi Li
Jane Polak Scowcroft
Dong Yu
221
16
0
30 Aug 2019
Document Hashing with Mixture-Prior Generative Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Wei Dong
Qinliang Su
Dinghan Shen
Changyou Chen
161
16
0
29 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDL
DRL
146
33
0
26 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
228
93
0
24 Aug 2019
Increasing the Generalisation Capacity of Conditional VAEs
International Conference on Artificial Neural Networks (ICANN), 2019
Alexej Klushyn
Nutan Chen
Botond Cseke
Justin Bayer
Patrick van der Smagt
DRL
131
2
0
23 Aug 2019
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
Qingjie Meng
Nick Pawlowski
Daniel Rueckert
Bernhard Kainz
OOD
DRL
65
14
0
21 Aug 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Journal of Chemical Information and Modeling (JCIM), 2019
Yibo Li
Jianxing Hu
Yanxing Wang
Jielong Zhou
L. Zhang
Zhenming Liu
338
103
0
20 Aug 2019
Salient Speech Representations Based on Cloned Networks
Interspeech (Interspeech), 2019
W. Kleijn
Felicia S. C. Lim
Michael Chinen
Jan Skoglund
141
3
0
19 Aug 2019
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction
Myriam Bontonou
Carlos Lassance
Vincent Gripon
Nicolas Farrugia
AI4TS
94
0
0
19 Aug 2019
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
International Conference on Learning Representations (ICLR), 2019
Chris Reinke
Mayalen Etcheverry
Pierre-Yves Oudeyer
243
30
0
19 Aug 2019
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