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Adversarial Autoencoders

Adversarial Autoencoders

18 November 2015
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
    GAN
ArXivPDFHTML

Papers citing "Adversarial Autoencoders"

50 / 353 papers shown
Title
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
206
639
0
29 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs
Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
14
9
0
27 Nov 2018
Deep Knockoffs
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
BDL
18
139
0
16 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
Adversarial Uncertainty Quantification in Physics-Informed Neural
  Networks
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang
P. Perdikaris
AI4CE
PINN
15
355
0
09 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External
  Categorical Evidence
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Athanasios Davvetas
I. Klampanos
V. Karkaletsis
27
5
0
09 Nov 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
42
209
0
13 Oct 2018
Adversarial Text Generation Without Reinforcement Learning
Adversarial Text Generation Without Reinforcement Learning
David Donahue
Anna Rumshisky
GAN
8
29
0
11 Oct 2018
Deep Learning with the Random Neural Network and its Applications
Deep Learning with the Random Neural Network and its Applications
Yonghua Yin
17
10
0
08 Oct 2018
Learning to Encode Text as Human-Readable Summaries using Generative
  Adversarial Networks
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yau-Shian Wang
Hung-yi Lee
21
64
0
05 Oct 2018
Towards High Resolution Video Generation with Progressive Growing of
  Sliced Wasserstein GANs
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Dinesh Acharya
Zhiwu Huang
D. Paudel
Luc Van Gool
GAN
11
68
0
04 Oct 2018
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for
  Automatic Music Playlist Continuation
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
Hamed Zamani
Markus Schedl
Paul Lamere
Ching-Wei Chen
17
54
0
02 Oct 2018
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
34
61
0
14 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent
  Representations
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGe
CML
UD
DRL
26
31
0
12 Sep 2018
Multi-view Factorization AutoEncoder with Network Constraints for
  Multi-omic Integrative Analysis
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
Tianle Ma
A. Zhang
22
25
0
06 Sep 2018
A Zero-Shot Framework for Sketch-based Image Retrieval
A Zero-Shot Framework for Sketch-based Image Retrieval
Sasi Kiran Yelamarthi
M. K. Reddy
Ashish Mishra
Anurag Mittal
24
185
0
31 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder
Pioneer Networks: Progressively Growing Generative Autoencoder
Ari Heljakka
Arno Solin
Arno Solin
GAN
DRL
27
41
0
09 Jul 2018
MTBI Identification From Diffusion MR Images Using Bag of Adversarial
  Visual Features
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
Shervin Minaee
Yao Wang
Alp Aygar
Sohae Chung
X. Wang
Yvonne W. Lui
E. Fieremans
S. Flanagan
J. Rath
MedIm
27
34
0
27 Jun 2018
Disentangling Multiple Conditional Inputs in GANs
Disentangling Multiple Conditional Inputs in GANs
Gökhan Yildirim
Calvin Seward
Urs M. Bergmann
GAN
AI4CE
32
23
0
20 Jun 2018
An empirical study on evaluation metrics of generative adversarial
  networks
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu
Gao Huang
Yang Yuan
Chuan Guo
Yu Sun
Felix Wu
Kilian Q. Weinberger
EGVM
27
268
0
19 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
28
86
0
14 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OOD
MedIm
22
49
0
14 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
150
127
0
13 Jun 2018
Unsupervised Detection of Lesions in Brain MRI using constrained
  adversarial auto-encoders
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen
E. Konukoglu
MedIm
35
264
0
13 Jun 2018
Generating Image Sequence from Description with LSTM Conditional GAN
Generating Image Sequence from Description with LSTM Conditional GAN
Xu Ouyang
Xi Zhang
Di Ma
G. Agam
GAN
VLM
27
14
0
08 Jun 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative
  Adversarial Nets
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
Yunchen Pu
Shuyang Dai
Zhe Gan
Weiyao Wang
Guoyin Wang
Yizhe Zhang
Ricardo Henao
Lawrence Carin
GAN
OOD
37
41
0
08 Jun 2018
Variational Autoencoder with Arbitrary Conditioning
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDL
DRL
19
145
0
06 Jun 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein
  Auto-Encoder
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu
Kyunghyun Cho
Jung-Woo Ha
Sunghun Kim
DRL
41
129
0
31 May 2018
Wasserstein Variational Inference
Wasserstein Variational Inference
L. Ambrogioni
Umut Güçlü
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
BDL
DRL
19
42
0
29 May 2018
Geometric Understanding of Deep Learning
Geometric Understanding of Deep Learning
Na Lei
Zhongxuan Luo
S. Yau
X. Gu
GNN
11
145
0
26 May 2018
Primal-Dual Wasserstein GAN
Primal-Dual Wasserstein GAN
Mevlana Gemici
Zeynep Akata
Max Welling
35
13
0
24 May 2018
AVID: Adversarial Visual Irregularity Detection
AVID: Adversarial Visual Irregularity Detection
Mohammad Sabokrou
M. PourReza
Mohsen Fayyaz
R. Entezari
M. Fathy
Jürgen Gall
Ehsan Adeli
GAN
16
90
0
24 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
37
1,368
0
17 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on
  Constant-Curvature Manifolds
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
Daniele Grattarola
Daniele Zambon
Cesare Alippi
L. Livi
GNN
35
40
0
16 May 2018
Domain Adaptation with Adversarial Training and Graph Embeddings
Domain Adaptation with Adversarial Training and Graph Embeddings
Firoj Alam
Chenyu You
Muhammad Imran
OOD
22
118
0
14 May 2018
Learning representations for multivariate time series with missing data
  using Temporal Kernelized Autoencoders
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
F. Bianchi
L. Livi
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
AI4TS
30
11
0
09 May 2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
230
0
02 May 2018
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
Lin Wu
Yang Wang
Ling Shao
GAN
32
229
0
30 Apr 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
Unsupervised Prostate Cancer Detection on H&E using Convolutional
  Adversarial Autoencoders
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
W. Bulten
G. Litjens
16
25
0
19 Apr 2018
Exploring Disentangled Feature Representation Beyond Face Identification
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu
Fangyin Wei
Jing Shao
Lu Sheng
Junjie Yan
Xiaogang Wang
CoGe
CVBM
27
155
0
10 Apr 2018
ANNETT-O: An Ontology for Describing Artificial Neural Network
  Evaluation, Topology and Training
ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training
I. Klampanos
Athanasios Davvetas
Antonis Koukourikos
V. Karkaletsis
15
6
0
07 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
Training VAEs Under Structured Residuals
Training VAEs Under Structured Residuals
Garoe Dorta
Sara Vicente
Lourdes Agapito
Neill D. F. Campbell
Ivor J. A. Simpson
BDL
DRL
24
12
0
03 Apr 2018
Adversarial Binary Coding for Efficient Person Re-identification
Adversarial Binary Coding for Efficient Person Re-identification
Zheng Liu
Jie Qin
Annan Li
Yunhong Wang
Luc Van Gool
13
31
0
29 Mar 2018
Dist-GAN: An Improved GAN using Distance Constraints
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-man Cheung
DRL
GAN
23
91
0
23 Mar 2018
Learning from Noisy Web Data with Category-level Supervision
Learning from Noisy Web Data with Category-level Supervision
Li Niu
Qingtao Tang
Ashok Veeraraghavan
A. Sabharwal
NoLa
30
32
0
10 Mar 2018
Generating Contradictory, Neutral, and Entailing Sentences
Generating Contradictory, Neutral, and Entailing Sentences
Songlin Yang
Shawn Tan
Chin-Wei Huang
Aaron Courville
11
3
0
07 Mar 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi
Sai Rajeswar
Alessandro Sordoni
Philip Bachman
Aaron Courville
GAN
18
420
0
27 Feb 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
19
491
0
19 Feb 2018
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