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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"

33 / 83 papers shown
Title
Improving the Robustness of QA Models to Challenge Sets with Variational
  Question-Answer Pair Generation
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
OOD
36
12
0
07 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational
  Autoencoders
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
21
4
0
17 Mar 2020
The Variational InfoMax Learning Objective
The Variational InfoMax Learning Objective
Vincenzo Crescimanna
Bruce P. Graham
21
0
0
07 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision
NestedVAE: Isolating Common Factors via Weak Supervision
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
DRL
26
21
0
26 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
Active Learning for Segmentation Based on Bayesian Sample Queries
Active Learning for Segmentation Based on Bayesian Sample Queries
Firat Özdemir
Z. Peng
Philipp Fürnstahl
C. Tanner
O. Goksel
33
22
0
22 Dec 2019
DeepRICH: Learning Deeply Cherenkov Detectors
DeepRICH: Learning Deeply Cherenkov Detectors
C. Fanelli
Jary Pomponi
11
23
0
26 Nov 2019
Towards Visually Explaining Variational Autoencoders
Towards Visually Explaining Variational Autoencoders
Wenqian Liu
Runze Li
Meng Zheng
Srikrishna Karanam
Ziyan Wu
B. Bhanu
Richard J. Radke
Mario Sznaier
35
214
0
18 Nov 2019
$ρ$-VAE: Autoregressive parametrization of the VAE encoder
ρρρ-VAE: Autoregressive parametrization of the VAE encoder
Sohrab Ferdowsi
M. Diephuis
Shideh Rezaeifar
Slava Voloshynovskiy
11
3
0
13 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
11
70
0
02 Sep 2019
Maximizing Mutual Information for Tacotron
Maximizing Mutual Information for Tacotron
Peng Liu
Xixin Wu
Shiyin Kang
Guangzhi Li
Dan Su
Dong Yu
22
16
0
30 Aug 2019
Scalable Modeling of Spatiotemporal Data using the Variational
  Autoencoder: an Application in Glaucoma
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
S. Berchuck
Felipe A. Medeiros
S. Mukherjee
BDL
26
3
0
24 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
27
84
0
24 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
DRL
28
0
0
17 Aug 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
21
88
0
27 May 2019
The Variational InfoMax AutoEncoder
The Variational InfoMax AutoEncoder
Vincenzo Crescimanna
Bruce P. Graham
DRL
12
3
0
25 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
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
24
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
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
Semantics Preserving Adversarial Learning
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia
Elnaz Barshan
Reza Babanezhad
AAML
GAN
29
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
25
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
29
55
0
15 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational
  AutoEncoders
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma
Chunting Zhou
Eduard H. Hovy
DRL
28
39
0
06 Jan 2019
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
13
38
0
19 Nov 2018
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
30
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
29
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
63
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
179
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
24
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
33
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
26
7
0
07 Sep 2017
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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