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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
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
29
209
0
22 Apr 2019
STGAN: A Unified Selective Transfer Network for Arbitrary Image
  Attribute Editing
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Ming-Yu Liu
Yukang Ding
Min Xia
Xiao-Chang Liu
Errui Ding
W. Zuo
Shilei Wen
33
327
0
22 Apr 2019
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
Wayne Wu
Kaidi Cao
Cheng Li
Chao Qian
Chen Change Loy
ViT
DRL
21
110
0
21 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
30
262
0
20 Apr 2019
Fashion++: Minimal Edits for Outfit Improvement
Fashion++: Minimal Edits for Outfit Improvement
Wei-Lin Hsiao
Isay Katsman
Chao-Yuan Wu
Devi Parikh
Kristen Grauman
18
67
0
19 Apr 2019
Design of Communication Systems using Deep Learning: A Variational
  Inference Perspective
Design of Communication Systems using Deep Learning: A Variational Inference Perspective
Vishnu Raj
Sheetal Kalyani
42
22
0
18 Apr 2019
Learning Interpretable Disentangled Representations using Adversarial
  VAEs
Learning Interpretable Disentangled Representations using Adversarial VAEs
Mhd Hasan Sarhan
Abouzar Eslami
Nassir Navab
Shadi Albarqouni
DRL
OOD
30
20
0
17 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical
  Images
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim
Tae-Hyun Oh
Seokju Lee
Fei Pan
In So Kweon
DRL
36
73
0
17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
40
128
0
17 Apr 2019
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised
  Video Summarization
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li-xin Yuan
Francis E. H. Tay
Ping Li
Li Zhou
Jiashi Feng
27
112
0
17 Apr 2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for
  prostate zonal segmentation of multi-institutional MRI datasets
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L. Rundo
Changhee Han
Yudai Nagano
Jin Zhang
Ryuichiro Hataya
...
M. Gilardi
Salvatore Vitabile
G. Mauri
Hideki Nakayama
P. Cazzaniga
13
231
0
17 Apr 2019
Long-Term Human Video Generation of Multiple Futures Using Poses
Long-Term Human Video Generation of Multiple Futures Using Poses
Naoya Fushishita
Antonio Tejero-de-Pablos
Yusuke Mukuta
Tatsuya Harada
14
9
0
16 Apr 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans
Daniel Moyer
Aram Galstyan
Greg Ver Steeg
24
17
0
15 Apr 2019
Assisted Sound Sample Generation with Musical Conditioning in
  Adversarial Auto-Encoders
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
Adrien Bitton
P. Esling
Antoine Caillon
Martin Fouilleul
36
10
0
12 Apr 2019
Variational AutoEncoder For Regression: Application to Brain Aging
  Analysis
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
Qingyu Zhao
Ehsan Adeli
N. Honnorat
Tuo Leng
K. Pohl
DRL
BDL
19
83
0
11 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and
  Planning
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch
Oleh Rybkin
Jingyun Yang
Shenghao Zhou
Konstantinos G. Derpanis
Kostas Daniilidis
Joseph J. Lim
Andrew Jaegle
VGen
45
24
0
11 Apr 2019
Scanner Invariant Representations for Diffusion MRI Harmonization
Scanner Invariant Representations for Diffusion MRI Harmonization
Daniel Moyer
Greg Ver Steeg
C. Tax
P. Thompson
MedIm
DiffM
21
109
0
10 Apr 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao
Yifei Xu
Mathew Monfort
Wongun Choi
Chris L. Baker
Yibiao Zhao
Yizhou Wang
Ying Nian Wu
27
393
0
09 Apr 2019
Identity-preserving Face Recovery from Stylized Portraits
Identity-preserving Face Recovery from Stylized Portraits
Fatemeh Shiri
Xin Yu
Fatih Porikli
Richard I. Hartley
Piotr Koniusz
CVBM
22
23
0
07 Apr 2019
Progressive Pose Attention Transfer for Person Image Generation
Progressive Pose Attention Transfer for Person Image Generation
Zhen Zhu
Tengteng Huang
Baoguang Shi
Miao Yu
Bofei Wang
X. Bai
GAN
27
311
0
06 Apr 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
16
21
0
05 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre Dognin
GAN
43
28
0
04 Apr 2019
Learning to Decipher Hate Symbols
Learning to Decipher Hate Symbols
Jing Qian
Mai Elsherief
E. Belding-Royer
William Yang Wang
22
17
0
04 Apr 2019
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
Biao Jia
Chen Fang
Jonathan Brandt
Byungmoon Kim
Tianyi Zhou
25
15
0
03 Apr 2019
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Saurabh Sharma
Pavan Teja Varigonda
Prashast Bindal
Abhishek Sharma
Arjun Jain
3DH
24
153
0
02 Apr 2019
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image
  Synthesis
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
Minfeng Zhu
Pingbo Pan
Wei Chen
Yi Yang
GAN
17
574
0
02 Apr 2019
A PCA-like Autoencoder
A PCA-like Autoencoder
Saïd Ladjal
A. Newson
Chi-Hieu Pham
24
32
0
02 Apr 2019
Benchmarking Approximate Inference Methods for Neural Structured
  Prediction
Benchmarking Approximate Inference Methods for Neural Structured Prediction
Lifu Tu
Kevin Gimpel
BDL
38
17
0
01 Apr 2019
Unsupervised Contextual Anomaly Detection using Joint Deep Variational
  Generative Models
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models
Yaniv Shulman
DRL
24
6
0
01 Apr 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
39
571
0
31 Mar 2019
Molecular geometry prediction using a deep generative graph neural
  network
Molecular geometry prediction using a deep generative graph neural network
Elman Mansimov
Omar Mahmood
Seokho Kang
Kyunghyun Cho
31
185
0
31 Mar 2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A
  Cross-dataset Study
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
L. Rundo
Changhee Han
Jin Zhang
Ryuichiro Hataya
Yudai Nagano
...
A. Tangherloni
M. Gilardi
Salvatore Vitabile
Hideki Nakayama
G. Mauri
30
31
0
29 Mar 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
37
269
0
29 Mar 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
21
151
0
29 Mar 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang
Alex Zhai
Daniel L. K. Yamins
SSL
44
444
0
29 Mar 2019
Painting with baryons: augmenting N-body simulations with gas using deep
  generative models
Painting with baryons: augmenting N-body simulations with gas using deep generative models
T. Tröster
C. Ferguson
J. Harnois-Déraps
I. McCarthy
AI4CE
24
49
0
28 Mar 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu
Yibo Hu
Xiang Wu
Guoli Wang
Qian Zhang
Ran He
CVBM
32
25
0
28 Mar 2019
Cherenkov Detectors Fast Simulation Using Neural Networks
Cherenkov Detectors Fast Simulation Using Neural Networks
D. Derkach
N. Kazeev
Fedor Ratnikov
Andrey Ustyuzhanin
Alexandra Volokhova
19
28
0
28 Mar 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
30
116
0
28 Mar 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Masataro Asai
Hiroshi Kajino
22
15
0
27 Mar 2019
Improve Diverse Text Generation by Self Labeling Conditional Variational
  Auto Encoder
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder
Yuchi Zhang
Yongliang Wang
Liping Zhang
Qing Cui
Kun Gai
22
19
0
26 Mar 2019
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Yuki Yamanaka
Tomoharu Iwata
Hiroshi Takahashi
Masanori Yamada
Sekitoshi Kanai
6
38
0
26 Mar 2019
Diversifying Reply Suggestions using a Matching-Conditional Variational
  Autoencoder
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb
P. Bailey
Milad Shokouhi
19
20
0
25 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed
  Behaviors
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors
Fang-I Hsiao
Jui-Hsuan Kuo
Min Sun
OffRL
21
14
0
25 Mar 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with
  Convolutional Neural Networks
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks
Byungsoo Kim
Tobias Günther
3DPC
24
41
0
25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
36
483
0
25 Mar 2019
Variational Inference with Latent Space Quantization for Adversarial
  Resilience
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham
P. PrathoshA.
Tarun Kumar Yadav
Deepak Mishra
Dheeraj Mundhra
AAML
19
3
0
24 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation
Using RGB Image as Visual Input for Mapless Robot Navigation
Liulong Ma
Yanjie Liu
Jiao Chen
SSL
39
17
0
24 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
21
42
0
23 Mar 2019
Generative Adversarial Minority Oversampling
Generative Adversarial Minority Oversampling
S. S. Mullick
Shounak Datta
Swagatam Das
21
174
0
22 Mar 2019
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