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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 / 3,457 papers shown
Title
Dataset2Vec: Learning Dataset Meta-Features
Dataset2Vec: Learning Dataset Meta-Features
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
SSL
22
61
0
27 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
21
2
0
27 May 2019
ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural
  networks
ODE2^22VAE: Deep generative second order ODEs with Bayesian neural networks
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
BDL
DRL
27
88
0
27 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Xia Hu
30
86
0
25 May 2019
The Variational InfoMax AutoEncoder
The Variational InfoMax AutoEncoder
Vincenzo Crescimanna
Bruce P. Graham
DRL
17
3
0
25 May 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian
Clemens Eppner
Dieter Fox
3DPC
42
559
0
25 May 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
33
198
0
24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Thanh-Dat Truong
Khoa Luu
C. Duong
Ngan Le
M. Tran
24
7
0
24 May 2019
Robust Variational Autoencoder
Robust Variational Autoencoder
H. Akrami
Anand A. Joshi
Jian Li
Sergul Aydore
Richard M. Leahy
DRL
22
21
0
23 May 2019
PHom-GeM: Persistent Homology for Generative Models
PHom-GeM: Persistent Homology for Generative Models
Jérémy Charlier
R. State
Jean Hilger
GAN
19
5
0
23 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative
  Compositional Policies
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
29
192
0
23 May 2019
AttentionRNN: A Structured Spatial Attention Mechanism
AttentionRNN: A Structured Spatial Attention Mechanism
Siddhesh Khandelwal
Leonid Sigal
27
3
0
22 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
58
1,417
0
22 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image
  Translation
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
33
53
0
21 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
Avi Caciularu
D. Burshtein
22
48
0
21 May 2019
Compression with Flows via Local Bits-Back Coding
Compression with Flows via Local Bits-Back Coding
Jonathan Ho
Evan Lohn
Pieter Abbeel
35
53
0
21 May 2019
Exploring Bias in GAN-based Data Augmentation for Small Samples
Exploring Bias in GAN-based Data Augmentation for Small Samples
Mengxiao Hu
Jinlong Li
16
20
0
21 May 2019
Non-Autoregressive Neural Text-to-Speech
Non-Autoregressive Neural Text-to-Speech
Kainan Peng
Ming-Yu Liu
Z. Song
Kexin Zhao
29
39
0
21 May 2019
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom
Jorn W. T. Peters
Rianne van den Berg
Max Welling
30
158
0
17 May 2019
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle
L. Mescheder
Michael Niemeyer
Thilo Strauss
Andreas Geiger
3DH
3DV
50
296
0
17 May 2019
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven
  Dynamic Hierarchical Conditional Variational Network
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
V. Wan
Chun-an Chan
Tom Kenter
Jakub Vít
R. Clark
27
75
0
17 May 2019
Gmail Smart Compose: Real-Time Assisted Writing
Gmail Smart Compose: Real-Time Assisted Writing
Mengzhao Chen
Benjamin Lee
G. Bansal
Yuan Cao
Shuyuan Zhang
...
Yinan Wang
Andrew M. Dai
Zhehuai Chen
Timothy Sohn
Yonghui Wu
24
203
0
17 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
34
400
0
17 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
21
0
0
16 May 2019
GMNN: Graph Markov Neural Networks
GMNN: Graph Markov Neural Networks
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
22
288
0
15 May 2019
Towards Interlingua Neural Machine Translation
Towards Interlingua Neural Machine Translation
Carlos Escolano
Marta R. Costa-jussá
José A. R. Fonollosa
CLL
AI4CE
16
19
0
15 May 2019
Joint haze image synthesis and dehazing with mmd-vae losses
Joint haze image synthesis and dehazing with mmd-vae losses
Zongliang Li
Chi Zhang
Gaofeng Meng
Yuehu Liu
19
2
0
15 May 2019
Kernel Mean Matching for Content Addressability of GANs
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum
Patsorn Sangkloy
Muhammad Waleed Gondal
Amit Raj
James Hays
Bernhard Schölkopf
GAN
BDL
32
9
0
14 May 2019
Disentangled Human Body Embedding Based on Deep Hierarchical Neural
  Network
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Boyi Jiang
Juyong Zhang
Jianfei Cai
Jianmin Zheng
3DH
AI4CE
25
37
0
14 May 2019
Correlated Variational Auto-Encoders
Correlated Variational Auto-Encoders
Da Tang
Dawen Liang
Tony Jebara
Nicholas Ruozzi
CML
GNN
24
21
0
14 May 2019
Affine Variational Autoencoders: An Efficient Approach for Improving
  Generalization and Robustness to Distribution Shift
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift
Rene Bidart
A. Wong
DRL
OOD
19
5
0
13 May 2019
TopoResNet: A hybrid deep learning architecture and its application to
  skin lesion classification
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
Yu-Min Chung
Chuan-Shen Hu
A. Lawson
Clifford Smyth
27
10
0
13 May 2019
Precipitation nowcasting using a stochastic variational frame predictor
  with learned prior distribution
Precipitation nowcasting using a stochastic variational frame predictor with learned prior distribution
Alexander Bihlo
BDL
33
10
0
13 May 2019
Flat Metric Minimization with Applications in Generative Modeling
Flat Metric Minimization with Applications in Generative Modeling
Thomas Möllenhoff
Daniel Cremers
17
5
0
12 May 2019
Improving Discrete Latent Representations With Differentiable
  Approximation Bridges
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram
Russ Webb
DRL
19
9
0
09 May 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in
  Intensive Care
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
H. Overweg
Anna-Lena Popkes
A. Ercole
Yingzhen Li
José Miguel Hernández-Lobato
Yordan Zaykov
Cheng Zhang
39
24
0
07 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning
Adversarial Variational Embedding for Robust Semi-supervised Learning
Xiang Zhang
Lina Yao
Feng Yuan
DRL
GAN
30
42
0
07 May 2019
Sum-of-Squares Polynomial Flow
Sum-of-Squares Polynomial Flow
P. Jaini
Kira A. Selby
Yaoliang Yu
TPM
22
142
0
07 May 2019
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
Yikang Li
Tao Ma
Yeqi Bai
Nan Duan
Sining Wei
Xiaogang Wang
28
93
0
05 May 2019
Disentangling Factors of Variation Using Few Labels
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
34
123
0
03 May 2019
High quality, lightweight and adaptable TTS using LPCNet
High quality, lightweight and adaptable TTS using LPCNet
Zvi Kons
Slava Shechtman
A. Sorin
Carmel Rabinovitz
R. Hoory
25
54
0
02 May 2019
Coordination and Trajectory Prediction for Vehicle Interactions via
  Bayesian Generative Modeling
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
Jiachen Li
Hengbo Ma
Wei Zhan
Masayoshi Tomizuka
18
24
0
02 May 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with
  Word Vectors
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
Trung Trinh
Tho Quan
Trung Mai
BDL
22
2
0
01 May 2019
Learning Fair Representations via an Adversarial Framework
Learning Fair Representations via an Adversarial Framework
Rui Feng
Yang Yang
Yuehan Lyu
Chenhao Tan
Yizhou Sun
Chunping Wang
FaML
25
55
0
30 Apr 2019
Appearance and Pose-Conditioned Human Image Generation using Deformable
  GANs
Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
Aliaksandr Siarohin
Stéphane Lathuilière
E. Sangineto
N. Sebe
3DH
GAN
12
54
0
30 Apr 2019
Improved Conditional VRNNs for Video Prediction
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
DRL
23
161
0
27 Apr 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Shiguo Lian
CVBM
22
130
0
26 Apr 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
30
110
0
25 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
34
198
0
24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
21
477
0
22 Apr 2019
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