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Decision-Making with Auto-Encoding Variational Bayes
v1v2v3 (latest)

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
    BDL
ArXiv (abs)PDFHTML

Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

50 / 3,731 papers shown
Title
State representation learning with recurrent capsule networks
State representation learning with recurrent capsule networks
Louis Annabi
Michael Garcia Ortiz
SSL
23
3
0
28 Dec 2018
Robustness to Out-of-Distribution Inputs via Task-Aware Generative
  Uncertainty
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
R. McAllister
G. Kahn
Jeff Clune
Sergey Levine
UQCVOOD
84
38
0
27 Dec 2018
NADPEx: An on-policy temporally consistent exploration method for deep
  reinforcement learning
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
Sirui Xie
Junning Huang
Lanxin Lei
Chunxiao Liu
Zheng Ma
Wayne Zhang
Liang Lin
54
8
0
21 Dec 2018
Domain Adaptation for Reinforcement Learning on the Atari
Domain Adaptation for Reinforcement Learning on the Atari
Thomas Carr
Maria Chli
George Vogiatzis
38
22
0
18 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident)
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolínek
Dominik Zietlow
Georg Martius
OODDRL
76
152
0
17 Dec 2018
Learning Latent Subspaces in Variational Autoencoders
Learning Latent Subspaces in Variational Autoencoders
Jack Klys
Jake C. Snell
R. Zemel
SSLDRL
138
141
0
14 Dec 2018
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly
  Detection and Unpaired Cross-Domain Translation
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation
Masataka Yamaguchi
Yuma Koizumi
Noboru Harada
88
37
0
14 Dec 2018
Encoding prior knowledge in the structure of the likelihood
Encoding prior knowledge in the structure of the likelihood
Jakob Knollmüller
T. Ensslin
69
11
0
11 Dec 2018
Learning latent representations for style control and transfer in
  end-to-end speech synthesis
Learning latent representations for style control and transfer in end-to-end speech synthesis
Ya-Jie Zhang
Shifeng Pan
Lei He
Zhenhua Ling
BDLSSLDRL
77
229
0
11 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
195
1,342
0
11 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
255
2,910
0
10 Dec 2018
Style Transfer and Extraction for the Handwritten Letters Using Deep
  Learning
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning
Omar Mohammed
Gérard Bailly
D. Pellier
46
1
0
10 Dec 2018
Counterfactuals uncover the modular structure of deep generative models
Counterfactuals uncover the modular structure of deep generative models
M. Besserve
Arash Mehrjou
Rémy Sun
Bernhard Schölkopf
DRLBDLDiffM
119
107
0
08 Dec 2018
Deep Variational Transfer: Transfer Learning through Semi-supervised
  Deep Generative Models
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models
Marouan Belhaj
P. Protopapas
Weiwei Pan
DRL
30
11
0
07 Dec 2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
Pierre-Alexandre Mattei
J. Frellsen
SyDa
90
46
0
06 Dec 2018
Context-Aware Synthesis and Placement of Object Instances
Context-Aware Synthesis and Placement of Object Instances
Donghoon Lee
Sifei Liu
Liang Feng
Ming-Yuan Liu
Ming-Hsuan Yang
Jan Kautz
91
117
0
06 Dec 2018
Differentially Private Data Generative Models
Differentially Private Data Generative Models
Qingrong Chen
Chong Xiang
Minhui Xue
Yue Liu
Nikita Borisov
Dali Kaafar
Haojin Zhu
SyDaAAML
72
79
0
06 Dec 2018
Domain Mismatch Robust Acoustic Scene Classification using Channel
  Information Conversion
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion
Seongkyu Mun
Suwon Shon
39
21
0
04 Dec 2018
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face
  Synthesis
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis
Yujun Shen
Bolei Zhou
Ping Luo
Xiaoou Tang
CVBM
77
38
0
04 Dec 2018
Semantic Image Inpainting Through Improved Wasserstein Generative
  Adversarial Networks
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks
Patricia Vitoria
Joan Sintes
C. Ballester
GAN
110
29
0
03 Dec 2018
DeepVoxels: Learning Persistent 3D Feature Embeddings
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann
Justus Thies
Felix Heide
Matthias Nießner
Gordon Wetzstein
Michael Zollhöfer
SSL3DPCMDE
177
669
0
03 Dec 2018
Learning Speaker Representations with Mutual Information
Learning Speaker Representations with Mutual Information
Mirco Ravanelli
Yoshua Bengio
SSLDRL
92
91
0
01 Dec 2018
Instance-level Facial Attributes Transfer with Geometry-Aware Flow
Instance-level Facial Attributes Transfer with Geometry-Aware Flow
Weidong Yin
Ziwei Liu
Chen Change Loy
3DHCVBM
144
37
0
30 Nov 2018
Eigenvalue Corrected Noisy Natural Gradient
Eigenvalue Corrected Noisy Natural Gradient
Juhan Bae
Guodong Zhang
Roger C. Grosse
87
18
0
30 Nov 2018
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using
  Soft Markov Chain Decomposition
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition
Rong Ge
Holden Lee
Andrej Risteski
178
29
0
29 Nov 2018
Synthesizing Tabular Data using Generative Adversarial Networks
Synthesizing Tabular Data using Generative Adversarial Networks
L. Xu
K. Veeramachaneni
CMLGAN
89
253
0
27 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial
  Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
J. Tenenbaum
William T. Freeman
Antonio Torralba
GAN
29
0
0
26 Nov 2018
Planning in Dynamic Environments with Conditional Autoregressive Models
Planning in Dynamic Environments with Conditional Autoregressive Models
Johanna Hansen
Kyle Kastner
Aaron Courville
Gregory Dudek
41
1
0
25 Nov 2018
Self Paced Adversarial Training for Multimodal Few-shot Learning
Self Paced Adversarial Training for Multimodal Few-shot Learning
Frederik Pahde
O. Ostapenko
P. Jähnichen
T. Klein
Moin Nabi
73
25
0
22 Nov 2018
Another Diversity-Promoting Objective Function for Neural Dialogue
  Generation
Another Diversity-Promoting Objective Function for Neural Dialogue Generation
Ryo Nakamura
Katsuhito Sudoh
Koichiro Yoshino
Satoshi Nakamura
60
25
0
20 Nov 2018
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
64
39
0
19 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Oscar Chang
Robert Kwiatkowski
Siyuan Chen
Hod Lipson
144
6
0
12 Nov 2018
Multi-Source Neural Variational Inference
Multi-Source Neural Variational Inference
Richard Kurle
Stephan Günnemann
Patrick van der Smagt
BDLSSLDRL
87
25
0
11 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
65
3
0
11 Nov 2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse
  issue in Monte Carlo dropout via Ensembles
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles
Remus Pop
Patric Fulop
UQCV
66
41
0
09 Nov 2018
Concept Learning with Energy-Based Models
Concept Learning with Energy-Based Models
William J. Wilkinson
154
26
0
06 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming
Simple, Distributed, and Accelerated Probabilistic Programming
Like Hui
Matthew Hoffman
Siyuan Ma
Christopher Suter
Srinivas Vasudevan
Alexey Radul
M. Belkin
Rif A. Saurous
BDL
85
56
0
05 Nov 2018
Learning Shared Dynamics with Meta-World Models
Learning Shared Dynamics with Meta-World Models
Lisheng Wu
Minne Li
Jun Wang
30
0
0
05 Nov 2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the
  Matrix Profile
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
Richard T. Marriott
AI4TS
52
11
0
05 Nov 2018
Improving GAN with neighbors embedding and gradient matching
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
GAN
68
16
0
04 Nov 2018
On the Generation of Medical Question-Answer Pairs
On the Generation of Medical Question-Answer Pairs
Sheng Shen
Yaliang Li
Nan Du
X. Wu
Yusheng Xie
Shen Ge
Tao Yang
Kai Wang
Xin-Fang Liang
Wei Fan
MedIm
58
21
0
01 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
102
44
0
01 Nov 2018
Latent Variable Model for Multi-modal Translation
Latent Variable Model for Multi-modal Translation
Iacer Calixto
Miguel Rios
Wilker Aziz
52
3
0
01 Nov 2018
A task in a suit and a tie: paraphrase generation with semantic
  augmentation
A task in a suit and a tie: paraphrase generation with semantic augmentation
Su Wang
Rahul Gupta
Nancy Chang
Jason Baldridge
92
65
0
31 Oct 2018
Generating Photo-Realistic Training Data to Improve Face Recognition
  Accuracy
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
Daniel Saez-Trigueros
Lily Meng
Margaret Hartnett
GANCVBM
151
37
0
31 Oct 2018
Learning to Represent Edits
Learning to Represent Edits
Pengcheng Yin
Graham Neubig
Miltiadis Allamanis
Marc Brockschmidt
Alexander L. Gaunt
KELM
78
112
0
31 Oct 2018
Gaussian Process Conditional Density Estimation
Gaussian Process Conditional Density Estimation
Vincent Dutordoir
Hugh Salimbeni
M. Deisenroth
J. Hensman
161
52
0
30 Oct 2018
Semi-unsupervised Learning of Human Activity using Deep Generative
  Models
Semi-unsupervised Learning of Human Activity using Deep Generative Models
M. Willetts
Aiden Doherty
Stephen J. Roberts
Chris Holmes
37
3
0
29 Oct 2018
Variational Inference with Tail-adaptive f-Divergence
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang
Hao Liu
Qiang Liu
104
55
0
29 Oct 2018
Text-Adaptive Generative Adversarial Networks: Manipulating Images with
  Natural Language
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Seonghyeon Nam
Yunji Kim
Seon Joo Kim
GAN
113
207
0
29 Oct 2018
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