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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 / 3,690 papers shown
Title
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position
  Estimation
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
Patrick Dendorfer
Aljosa Osep
Laura Leal-Taixé
23
103
0
02 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance
  Metric Learning and Behavior Regularization
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li
Rui Yang
Dijun Luo
OffRL
35
10
0
02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
24
69
0
02 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge
  Masking
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
41
214
0
01 Oct 2020
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
Mojtaba Bemana
K. Myszkowski
Hans-Peter Seidel
Tobias Ritschel
31
50
0
01 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with
  Fixed-Point Updates
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
OOD
FedML
27
46
0
01 Oct 2020
The Utility of Decorrelating Colour Spaces in Vector Quantised
  Variational Autoencoders
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
A. Akbarinia
Raquel Gil-Rodríguez
Alban Flachot
Matteo Toscani
DRL
18
0
0
30 Sep 2020
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
E. Nehme
Boris Ferdman
Lucien E. Weiss
Tal Naor
Daniel Freedman
T. Michaeli
Y. Shechtman
16
5
0
29 Sep 2020
Neural Topic Modeling by Incorporating Document Relationship Graph
Neural Topic Modeling by Incorporating Document Relationship Graph
Deyu Zhou
Xuemeng Hu
Rui Wang
22
22
0
29 Sep 2020
Learning Skills to Patch Plans Based on Inaccurate Models
Learning Skills to Patch Plans Based on Inaccurate Models
A. LaGrassa
Steven Lee
Oliver Kroemer
27
10
0
29 Sep 2020
Variational Temporal Deep Generative Model for Radar HRRP Target
  Recognition
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
D. Guo
Bo Chen
Wenchao Chen
Changbo Wang
Hongwei Liu
Mingyuan Zhou
BDL
54
35
0
28 Sep 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of
  Generative Model
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Zhuonan He
Yikun Zhang
Yu Guan
S. Niu
Yi Zhang
Yang Chen
Qiegen Liu
DiffM
MedIm
35
12
0
27 Sep 2020
Deep Adversarial Transition Learning using Cross-Grafted Generative
  Stacks
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou
Xuejie Ding
Stephen Cranefield
Jeremiah D. Deng
GAN
33
7
0
25 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack
Improving Query Efficiency of Black-box Adversarial Attack
Yang Bai
Yuyuan Zeng
Yong Jiang
Yisen Wang
Shutao Xia
Weiwei Guo
AAML
MLAU
48
52
0
24 Sep 2020
Generative Model without Prior Distribution Matching
Generative Model without Prior Distribution Matching
Cong Geng
Jia Wang
Lixing Chen
Zhiyong Gao
GAN
255
1
0
23 Sep 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
36
1,402
0
21 Sep 2020
Scale-Localized Abstract Reasoning
Scale-Localized Abstract Reasoning
Yaniv Benny
Niv Pekar
Lior Wolf
28
61
0
20 Sep 2020
Variational Disentanglement for Rare Event Modeling
Variational Disentanglement for Rare Event Modeling
Zidi Xiu
Chenyang Tao
M. Gao
Connor Davis
B. Goldstein
Ricardo Henao
CML
DRL
32
6
0
17 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
46
79
0
17 Sep 2020
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure
  Synthesis
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
R. K. Jones
Theresa Barton
Xianghao Xu
Kai Wang
Ellen Jiang
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
36
31
0
17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
AAML
16
100
0
16 Sep 2020
Evaluating representations by the complexity of learning low-loss
  predictors
Evaluating representations by the complexity of learning low-loss predictors
William F. Whitney
M. Song
David Brandfonbrener
Jaan Altosaar
Kyunghyun Cho
33
23
0
15 Sep 2020
Generative models with kernel distance in data space
Generative models with kernel distance in data space
Szymon Knop
Marcin Mazur
Przemysław Spurek
Jacek Tabor
Igor T. Podolak
GAN
SyDa
27
11
0
15 Sep 2020
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented
  Multi-objective Optimization
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization
Wei Chen
Faez Ahmed
AI4CE
38
35
0
15 Sep 2020
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term
  Representations
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Ruben Tolosana
Paula Delgado-Santos
A. Pérez-Uribe
R. Vera-Rodríguez
Julian Fierrez
Aythami Morales
46
38
0
14 Sep 2020
Tracking disease outbreaks from sparse data with Bayesian inference
Tracking disease outbreaks from sparse data with Bayesian inference
Bryan Wilder
M. Mina
Milind Tambe
29
6
0
12 Sep 2020
Proposal-Free Volumetric Instance Segmentation from Latent
  Single-Instance Masks
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
Alberto Bailoni
Constantin Pape
Steffen Wolf
Anna Kreshuk
Fred Hamprecht
ISeg
42
7
0
10 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute
  Combinations
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos
Grigorios G. Chrysos
Maja Pantic
Yannis Panagakis
GAN
DRL
29
17
0
09 Sep 2020
Attribute Privacy: Framework and Mechanisms
Attribute Privacy: Framework and Mechanisms
Wanrong Zhang
O. Ohrimenko
Rachel Cummings
29
36
0
08 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes
Information Theoretic Meta Learning with Gaussian Processes
Michalis K. Titsias
Francisco J. R. Ruiz
Sotirios Nikoloutsopoulos
Alexandre Galashov
FedML
45
15
0
07 Sep 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef
Laurent Rodriguez
Benoit Miramond
SSL
DRL
29
15
0
04 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
35
147
0
03 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
Semantically Adaptive Image-to-image Translation for Domain Adaptation
  of Semantic Segmentation
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
Luigi Musto
Andrea Zinelli
VLM
38
36
0
02 Sep 2020
Face Image Quality Assessment: A Literature Survey
Face Image Quality Assessment: A Literature Survey
Torsten Schlett
Christian Rathgeb
O. Henniger
Javier Galbally
Julian Fierrez
Christoph Busch
CVBM
24
128
0
02 Sep 2020
Quasi-symplectic Langevin Variational Autoencoder
Quasi-symplectic Langevin Variational Autoencoder
Zihao Wang
H. Delingette
BDL
DRL
18
4
0
02 Sep 2020
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of
  Human Performances
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
Anna Hilsmann
P. Fechteler
W. Morgenstern
Wolfgang Paier
I. Feldmann
O. Schreer
Peter Eisert
3DH
27
12
0
02 Sep 2020
Neural Crossbreed: Neural Based Image Metamorphosis
Neural Crossbreed: Neural Based Image Metamorphosis
Sanghun Park
Kwanggyoon Seo
Jun-yong Noh
24
4
0
02 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Yue Liu
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
Kurt Keutzer
53
264
0
01 Sep 2020
Zero-Resource Knowledge-Grounded Dialogue Generation
Zero-Resource Knowledge-Grounded Dialogue Generation
Linxiao Li
Can Xu
Wei Wu
Yufan Zhao
Xueliang Zhao
Chongyang Tao
41
70
0
29 Aug 2020
BLOB : A Probabilistic Model for Recommendation that Combines Organic
  and Bandit Signals
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
Otmane Sakhi
Stephen Bonner
D. Rohde
Flavian Vasile
40
34
0
28 Aug 2020
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Magda Amiridi
Nikos Kargas
N. Sidiropoulos
24
19
0
27 Aug 2020
Pose-Guided High-Resolution Appearance Transfer via Progressive Training
Pose-Guided High-Resolution Appearance Transfer via Progressive Training
Ji Liu
Heshan Liu
M. Chiu
Yu-Wing Tai
Chi-Keung Tang
3DH
18
4
0
27 Aug 2020
Dynamic Future Net: Diversified Human Motion Generation
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen
He Wang
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
46
23
0
25 Aug 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers
Differentiable TAN Structure Learning for Bayesian Network Classifiers
Wolfgang Roth
Franz Pernkopf
BDL
21
2
0
21 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
Dahuin Jung
Jonghyun Lee
Jihun Yi
Sungroh Yoon
35
12
0
20 Aug 2020
Improving Blind Spot Denoising for Microscopy
Improving Blind Spot Denoising for Microscopy
A. Goncharova
A. Honigmann
Florian Jug
Alexander Krull
33
26
0
19 Aug 2020
HpRNet : Incorporating Residual Noise Modeling for Violin in a
  Variational Parametric Synthesizer
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Krishna Subramani
Preeti Rao
31
4
0
19 Aug 2020
TNT: Target-driveN Trajectory Prediction
TNT: Target-driveN Trajectory Prediction
Hang Zhao
Jiyang Gao
Tian-Shing Lan
Chen Sun
Benjamin Sapp
...
Yi Shen
Yuning Chai
Cordelia Schmid
Congcong Li
Dragomir Anguelov
62
538
0
19 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Oliver Limoyo
Bryan Chan
Filip Marić
Brandon Wagstaff
Rupam Mahmood
Jonathan Kelly
39
8
0
18 Aug 2020
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