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InfoVAE: Information Maximizing Variational Autoencoders

InfoVAE: Information Maximizing Variational Autoencoders

7 June 2017
Shengjia Zhao
Jiaming Song
Stefano Ermon
    DRL
ArXivPDFHTML

Papers citing "InfoVAE: Information Maximizing Variational Autoencoders"

16 / 66 papers shown
Title
Improve variational autoEncoder with auxiliary softmax multiclassifier
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
DRL
18
0
0
17 Aug 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
11
2
0
15 May 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
19
27
0
17 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
14
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
28
10
0
12 Apr 2019
Semantics Preserving Adversarial Learning
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia
Elnaz Barshan
Reza Babanezhad
AAML
GAN
21
2
0
10 Mar 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
8
272
0
16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and
  multi-fidelity systems
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
Yibo Yang
P. Perdikaris
SyDa
BDL
AI4CE
21
55
0
15 Jan 2019
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
19
220
0
12 Nov 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSL
CML
DRL
16
19
0
12 Jul 2018
Learning Factorized Multimodal Representations
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
Ruslan Salakhutdinov
DRL
47
402
0
16 Jun 2018
Entropy and mutual information in models of deep neural networks
Entropy and mutual information in models of deep neural networks
Marylou Gabrié
Andre Manoel
Clément Luneau
Jean Barbier
N. Macris
Florent Krzakala
Lenka Zdeborová
30
178
0
24 May 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable
  Neural Dialog Generation
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
DRL
16
141
0
22 Apr 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan Willem van de Meent
OOD
CML
BDL
DRL
21
165
0
06 Apr 2018
A deep generative model for gene expression profiles from single-cell
  RNA sequencing
A deep generative model for gene expression profiles from single-cell RNA sequencing
Romain Lopez
Jeffrey Regier
Michael Cole
Michael I. Jordan
N. Yosef
BDL
18
7
0
07 Sep 2017
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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