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Auto-Encoding Variational Bayes

Auto-Encoding Variational Bayes

20 December 2013
Diederik P. Kingma
Max Welling
    BDL
ArXivPDFHTML

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown
Title
Particle Smoothing Variational Objectives
Particle Smoothing Variational Objectives
A. Moretti
Zizhao Wang
Luhuan Wu
Iddo Drori
I. Pe’er
32
10
0
20 Sep 2019
Explaining Visual Models by Causal Attribution
Explaining Visual Models by Causal Attribution
Álvaro Parafita
Jordi Vitrià
CML
FAtt
62
35
0
19 Sep 2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs
Scalable Deep Unsupervised Clustering with Concrete GMVAEs
Mark Collier
Hector Urdiales
DRL
31
3
0
18 Sep 2019
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu
Yuanqi Chen
Thomas H. Li
Shan Liu
Ge Li
DRL
25
104
0
17 Sep 2019
CMTS: Conditional Multiple Trajectory Synthesizer for Generating
  Safety-critical Driving Scenarios
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
Wenhao Ding
Mengdi Xu
Ding Zhao
35
52
0
17 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor
  Control
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Patric Jensfelt
27
13
0
17 Sep 2019
Prediction of rare feature combinations in population synthesis:
  Application of deep generative modelling
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
Sergio Garrido
S. Borysov
Francisco Câmara Pereira
Jeppe Rich
31
42
0
17 Sep 2019
Unsupervised Eyeglasses Removal in the Wild
Unsupervised Eyeglasses Removal in the Wild
Bingwen Hu
Zhedong Zheng
Ping Liu
Wankou Yang
Mingwu Ren
CVBM
35
36
0
16 Sep 2019
Generating Data using Monte Carlo Dropout
Generating Data using Monte Carlo Dropout
Kristian Miok
Dong Nguyen Doan
D. Zaharie
Marko Robnik-Šikonja
SyDa
27
13
0
12 Sep 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training
  Data
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data
Xiaozhe Gu
Arvind Easwaran
19
29
0
11 Sep 2019
Anomaly Detection with Inexact Labels
Anomaly Detection with Inexact Labels
Tomoharu Iwata
Machiko Toyoda
Shotaro Tora
N. Ueda
27
14
0
11 Sep 2019
Probabilistic framework for solving Visual Dialog
Probabilistic framework for solving Visual Dialog
Badri N. Patro
Anupriy
Vinay P. Namboodiri
BDL
30
13
0
11 Sep 2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian
Anna Bethke
Yinyin Liu
E. Belding-Royer
William Yang Wang
19
219
0
10 Sep 2019
Gradient-Aware Model-based Policy Search
Gradient-Aware Model-based Policy Search
P. DÓro
Alberto Maria Metelli
Andrea Tirinzoni
Matteo Papini
Marcello Restelli
29
34
0
09 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin
Stephen J. Roberts
Niki Trigoni
R. Clark
DRL
21
15
0
09 Sep 2019
Neural Gaussian Copula for Variational Autoencoder
Neural Gaussian Copula for Variational Autoencoder
P. Wang
William Yang Wang
BDL
DRL
16
13
0
09 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled
  Representations
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan Stühmer
Richard Turner
Sebastian Nowozin
DRL
BDL
CoGe
117
25
0
05 Sep 2019
Learning Distributions Generated by One-Layer ReLU Networks
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu
A. Dimakis
Sujay Sanghavi
19
22
0
04 Sep 2019
Translating Visual Art into Music
Translating Visual Art into Music
Max Müller-Eberstein
Nanne van Noord
DRL
24
7
0
03 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann
Louis Maestrati
Yoshihide Sawada
Jian Tang
Jean Michel D. Sellier
Yoshua Bengio
DiffM
3DV
30
66
0
03 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
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
Maximizing Mutual Information for Tacotron
Maximizing Mutual Information for Tacotron
Peng Liu
Xixin Wu
Shiyin Kang
Guangzhi Li
Dan Su
Dong Yu
22
16
0
30 Aug 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue
Hongwei Yong
Qian Zhao
Lei Zhang
Deyu Meng
BDL
14
303
0
29 Aug 2019
Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian
  Mixture Model
Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
Yoshiaki Bando
Y. Sasaki
Kazuyoshi Yoshii
BDL
11
9
0
29 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge
  Graphs and Behavior-specific Networks
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye
Xuwu Wang
Jiangchao Yao
Kunyang Jia
Jingren Zhou
Yanghua Xiao
Hongxia Yang
BDL
17
26
0
28 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDL
DRL
21
33
0
26 Aug 2019
Open Set Recognition Through Deep Neural Network Uncertainty: Does
  Out-of-Distribution Detection Require Generative Classifiers?
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Visvanathan Ramesh
UQCV
EDL
29
40
0
26 Aug 2019
Domain Adaptive Text Style Transfer
Domain Adaptive Text Style Transfer
Dianqi Li
Yizhe Zhang
Zhe Gan
Yu Cheng
Chris Brockett
Ming-Ting Sun
W. Dolan
OOD
31
55
0
25 Aug 2019
Scalable Modeling of Spatiotemporal Data using the Variational
  Autoencoder: an Application in Glaucoma
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
S. Berchuck
Felipe A. Medeiros
S. Mukherjee
BDL
34
3
0
24 Aug 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati
Milad Zafar Nezhad
R. Chinnam
D. Zhu
BDL
OOD
24
16
0
24 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
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
Expected path length on random manifolds
Expected path length on random manifolds
David Eklund
Søren Hauberg
DRL
28
15
0
20 Aug 2019
DeepSketchHair: Deep Sketch-based 3D Hair Modeling
DeepSketchHair: Deep Sketch-based 3D Hair Modeling
Yuefan Shen
Changgeng Zhang
Hongbo Fu
Kun Zhou
Youyi Zheng
3DV
3DH
31
39
0
20 Aug 2019
Unpaired Image-to-Speech Synthesis with Multimodal Information
  Bottleneck
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
Shuang Ma
Daniel J. McDuff
Yale Song
25
23
0
19 Aug 2019
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Alexey Tikhonov
Viacheslav Shibaev
Aleksander Nagaev
Aigul Nugmanova
Ivan P. Yamshchikov
31
37
0
19 Aug 2019
Audio query-based music source separation
Audio query-based music source separation
Jie Hwan Lee
Hyeong-Seok Choi
Kyogu Lee
28
44
0
19 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
DRL
31
0
0
17 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
34
19
0
15 Aug 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal
  Statistical Rate and Global Landscape Analysis
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu
Xiaohan Wei
Zhuoran Yang
35
24
0
14 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
25
11
0
11 Aug 2019
Improving Channel Charting with Representation-Constrained Autoencoders
Improving Channel Charting with Representation-Constrained Autoencoders
Pengzhi Huang
Oscar Castañeda
Emre Gönültaş
Said Medjkouh
O. Tirkkonen
Tom Goldstein
Christoph Studer
18
33
0
07 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan
Yu-Kun Lai
J. Yang
Hongbo Fu
Lin Gao
3DPC
34
31
0
07 Aug 2019
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial
  Networks
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon
Chihye Han
Dae-Shik Kim
GAN
MedIm
29
127
0
07 Aug 2019
An Underparametrized Deep Decoder Architecture for Graph Signals
An Underparametrized Deep Decoder Architecture for Graph Signals
Samuel Rey
A. Marques
Santiago Segarra
17
8
0
02 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas J. Guibas
3DPC
33
133
0
01 Aug 2019
Convolutional Auto-encoding of Sentence Topics for Image Paragraph
  Generation
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang
Yingwei Pan
Ting Yao
Jinhui Tang
Tao Mei
VLM
BDL
DiffM
27
36
0
01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
50
844
0
31 Jul 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
3DPC
27
143
0
30 Jul 2019
Making Sense of Vision and Touch: Learning Multimodal Representations
  for Contact-Rich Tasks
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
Peter Zachares
Matthew Tan
K. Srinivasan
Silvio Savarese
Fei-Fei Li
Animesh Garg
Jeannette Bohg
SSL
23
208
0
28 Jul 2019
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