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From Variational to Deterministic Autoencoders

From Variational to Deterministic Autoencoders

29 March 2019
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
    DRL
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Papers citing "From Variational to Deterministic Autoencoders"

14 / 164 papers shown
Title
Regularized Autoencoders via Relaxed Injective Probability Flow
Regularized Autoencoders via Relaxed Injective Probability Flow
Abhishek Kumar
Ben Poole
Kevin Patrick Murphy
BDL
TPM
DRL
16
38
0
20 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in
  Variational Autoencoders
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti
Matteo Trentin
DRL
22
96
0
18 Feb 2020
On Implicit Regularization in $β$-VAEs
On Implicit Regularization in βββ-VAEs
Abhishek Kumar
Ben Poole
DRL
21
53
0
31 Jan 2020
There and Back Again: Unraveling the Variational Auto-Encoder
There and Back Again: Unraveling the Variational Auto-Encoder
Graham Fyffe
DRL
14
0
0
21 Dec 2019
VIBE: Video Inference for Human Body Pose and Shape Estimation
VIBE: Video Inference for Human Body Pose and Shape Estimation
Muhammed Kocabas
Nikos Athanasiou
Michael J. Black
3DH
13
915
0
11 Dec 2019
Double cycle-consistent generative adversarial network for unsupervised
  conditional generation
Double cycle-consistent generative adversarial network for unsupervised conditional generation
Fei Ding
Feng Luo
Yin Yang
SyDa
AI4CE
14
10
0
13 Nov 2019
Feedback Recurrent AutoEncoder
Feedback Recurrent AutoEncoder
Yang Yang
Guillaume Sautière
J. Jon Ryu
Taco S. Cohen
35
21
0
11 Nov 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
42
436
0
02 Oct 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
207
0
28 Jul 2019
On the Evaluation of Conditional GANs
On the Evaluation of Conditional GANs
Terrance Devries
Adriana Romero
Luis Villaseñor-Pineda
Graham W. Taylor
M. Drozdzal
EGVM
20
41
0
11 Jul 2019
Perceptual Generative Autoencoders
Perceptual Generative Autoencoders
Zijun Zhang
Ruixiang Zhang
Zongpeng Li
Yoshua Bengio
Liam Paull
DRL
GAN
13
28
0
25 Jun 2019
Generative Latent Flow
Generative Latent Flow
Zhisheng Xiao
Qing Yan
Y. Amit
DRL
11
15
0
24 May 2019
Variational Autoencoders Pursue PCA Directions (by Accident)
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolínek
Dominik Zietlow
Georg Martius
OOD
DRL
13
149
0
17 Dec 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
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