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1706.02262
Cited By
InfoVAE: Information Maximizing Variational Autoencoders
7 June 2017
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
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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
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
OOD
36
12
0
07 Apr 2020
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
Vincenzo Crescimanna
Bruce P. Graham
21
0
0
07 Mar 2020
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
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
Firat Özdemir
Z. Peng
Philipp Fürnstahl
C. Tanner
O. Goksel
33
22
0
22 Dec 2019
DeepRICH: Learning Deeply Cherenkov Detectors
C. Fanelli
Jary Pomponi
11
23
0
26 Nov 2019
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
ρ
ρ
-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
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
11
70
0
02 Sep 2019
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
S. Berchuck
Felipe A. Medeiros
S. Mukherjee
BDL
26
3
0
24 Aug 2019
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
Yao Li
DRL
28
0
0
17 Aug 2019
ODE
2
^2
2
VAE: 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
Vincenzo Crescimanna
Bruce P. Graham
DRL
12
3
0
25 May 2019
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
Tom Pelsmaeker
Wilker Aziz
BDL
24
27
0
17 Apr 2019
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
Adrien Bitton
P. Esling
Antoine Caillon
Martin Fouilleul
36
10
0
12 Apr 2019
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
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
Yibo Yang
P. Perdikaris
SyDa
BDL
AI4CE
29
55
0
15 Jan 2019
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
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
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
Hanwei Wu
M. Flierl
SSL
CML
DRL
29
19
0
12 Jul 2018
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
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
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
DRL
24
141
0
22 Apr 2018
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
Romain Lopez
Jeffrey Regier
Michael Cole
Michael I. Jordan
N. Yosef
BDL
26
7
0
07 Sep 2017
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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