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Wasserstein GAN

Wasserstein GAN

26 January 2017
Martín Arjovsky
Soumith Chintala
Léon Bottou
    GAN
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Papers citing "Wasserstein GAN"

50 / 692 papers shown
Title
Capsule GAN Using Capsule Network for Generator Architecture
Capsule GAN Using Capsule Network for Generator Architecture
Kanako Marusaki
Hiroshi Watanabe
GAN
18
5
0
18 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai
Tae-Kyun Kim
GAN
37
19
0
13 Mar 2020
Generative Adversarial Imitation Learning with Neural Networks: Global
  Optimality and Convergence Rate
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
Yufeng Zhang
Qi Cai
Zhuoran Yang
Zhaoran Wang
111
12
0
08 Mar 2020
SketchyCOCO: Image Generation from Freehand Scene Sketches
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao
Qi Liu
Qi Xu
Limin Wang
Jianzhuang Liu
C. Zou
29
115
0
05 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
83
215
0
02 Mar 2020
Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
Khoa D. Doan
Saurav Manchanda
Amir Kimiyaie
Chandan K. Reddy
22
5
0
29 Feb 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for
  Practical Privacy-Preserving Data Generation
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
Frederik Harder
Kamil Adamczewski
Mijung Park
SyDa
25
101
0
26 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI
  Systems
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty
Laura Graves
Joseph Scott
Vijay Ganesh
GAN
DRL
24
27
0
24 Feb 2020
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition
Ziwen He
Wei Wang
Jing Dong
Tieniu Tan
AAML
22
23
0
22 Feb 2020
GANs May Have No Nash Equilibria
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
28
43
0
21 Feb 2020
Pores for thought: The use of generative adversarial networks for the
  stochastic reconstruction of 3D multi-phase electrode microstructures with
  periodic boundaries
Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
Andrea Gayon-Lombardo
L. Mosser
N. Brandon
S. J. Cooper
AI4CE
25
120
0
17 Feb 2020
SynFi: Automatic Synthetic Fingerprint Generation
SynFi: Automatic Synthetic Fingerprint Generation
M. Riazi
Seyed M. Chavoshian
F. Koushanfar
19
16
0
16 Feb 2020
Realistic River Image Synthesis using Deep Generative Adversarial
  Networks
Realistic River Image Synthesis using Deep Generative Adversarial Networks
A. Gautam
M. Sit
Ibrahim Demir
AI4CE
GAN
14
49
0
14 Feb 2020
Real or Not Real, that is the Question
Real or Not Real, that is the Question
Yuanbo Xiangli
Yubin Deng
Bo Dai
Chen Change Loy
Dahua Lin
GAN
78
47
0
12 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
32
153
0
11 Feb 2020
Subspace Capsule Network
Subspace Capsule Network
Marzieh Edraki
Nazanin Rahnavard
M. Shah
19
35
0
07 Feb 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in
  CNNs
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
Yuma Kinoshita
Hitoshi Kiya
28
19
0
06 Feb 2020
Learning Numerical Observers using Unsupervised Domain Adaptation
Learning Numerical Observers using Unsupervised Domain Adaptation
Shenghua He
Weimin Zhou
Hua Li
M. Anastasio
OOD
11
7
0
03 Feb 2020
Universal Data Anomaly Detection via Inverse Generative Adversary
  Network
Universal Data Anomaly Detection via Inverse Generative Adversary Network
Kursat Rasim Mestav
L. Tong
6
16
0
23 Jan 2020
Reducing the Representation Error of GAN Image Priors Using the Deep
  Decoder
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
Max Daniels
Paul Hand
Reinhard Heckel
GAN
25
2
0
23 Jan 2020
Unsupervised Representation Disentanglement using Cross Domain Features
  and Adversarial Learning in Variational Autoencoder based Voice Conversion
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Hao Luo
Hsin-Te Hwang
Chen-Chou Lo
Yu-Huai Peng
Yu Tsao
Hsin-Min Wang
DRL
17
42
0
22 Jan 2020
Deep Audio-Visual Learning: A Survey
Deep Audio-Visual Learning: A Survey
Hao Zhu
Mandi Luo
Rui Wang
A. Zheng
Ran He
31
156
0
14 Jan 2020
180-degree Outpainting from a Single Image
180-degree Outpainting from a Single Image
Zhenqiang Ying
A. Bovik
6
7
0
13 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
38
300
0
08 Jan 2020
Towards Automatic Threat Detection: A Survey of Advances of Deep
  Learning within X-ray Security Imaging
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
S. Akçay
T. Breckon
31
156
0
05 Jan 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Vahid Mirjalili
S. Raschka
Arun Ross
PICV
CVBM
22
101
0
02 Jan 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
Towards Better Understanding of Adaptive Gradient Algorithms in
  Generative Adversarial Nets
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Mingrui Liu
Youssef Mroueh
Jerret Ross
Wei Zhang
Xiaodong Cui
Payel Das
Tianbao Yang
ODL
38
63
0
26 Dec 2019
History-based Anomaly Detector: an Adversarial Approach to Anomaly
  Detection
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection
Pierrick Chatillon
C. Ballester
AAML
21
6
0
26 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
31
41
0
20 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
25
168
0
19 Dec 2019
Image Processing Using Multi-Code GAN Prior
Image Processing Using Multi-Code GAN Prior
Jinjin Gu
Yujun Shen
Bolei Zhou
GAN
30
315
0
15 Dec 2019
A Shape Transformation-based Dataset Augmentation Framework for
  Pedestrian Detection
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
Zhe Chen
Wanli Ouyang
Tongliang Liu
Dacheng Tao
ViT
24
23
0
15 Dec 2019
Bias Remediation in Driver Drowsiness Detection systems using Generative
  Adversarial Networks
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks
Mkhuseli Ngxande
J. Tapamo
Michael G. Burke
33
39
0
10 Dec 2019
Environment reconstruction on depth images using Generative Adversarial
  Networks
Environment reconstruction on depth images using Generative Adversarial Networks
L. P. N. Matias
J. Souza
D. Wolf
3DV
GAN
11
0
0
09 Dec 2019
Label-Consistent Backdoor Attacks
Label-Consistent Backdoor Attacks
Alexander Turner
Dimitris Tsipras
A. Madry
AAML
11
383
0
05 Dec 2019
Class-Conditional VAE-GAN for Local-Ancestry Simulation
Class-Conditional VAE-GAN for Local-Ancestry Simulation
D. M. Montserrat
C. Bustamante
A. Ioannidis
21
19
0
27 Nov 2019
Joint Modeling of Local and Global Temporal Dynamics for Multivariate
  Time Series Forecasting with Missing Values
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng Tang
Huaxiu Yao
Yiwei Sun
Charu C. Aggarwal
P. Mitra
Suhang Wang
AI4TS
43
116
0
22 Nov 2019
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
Badri N. Patro
Anupriy
Vinay P. Namboodiri
AAML
FAtt
45
26
0
19 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Molecular Generative Model Based On Adversarially Regularized
  Autoencoder
Molecular Generative Model Based On Adversarially Regularized Autoencoder
S. Hong
Jaechang Lim
Seongok Ryu
W. Kim
GAN
DRL
GNN
34
63
0
13 Nov 2019
Generative adversarial networks (GAN) based efficient sampling of
  chemical space for inverse design of inorganic materials
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Yabo Dan
Yong Zhao
Xiang Li
Shaobo Li
Ming Hu
Jianjun Hu
AI4CE
GAN
27
192
0
12 Nov 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial
  Network to predict RSVP Events
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Sharaj Panwar
P. Rad
T. Jung
Yufei Huang
GAN
34
50
0
11 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network
  Security -- A Survey
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
31
68
0
06 Nov 2019
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
Xiaofeng Liu
Xu Han
Yukai Qiao
Yi Ge
Lu Jun
22
32
0
03 Nov 2019
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
38
72
0
29 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GAN
MDE
12
29
0
29 Oct 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai
Walter A. Talbott
Carlos Guestrin
J. Susskind
GAN
22
8
0
29 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of
  stochastic PDEs
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang
Sean Treichler
Thorsten Kurth
Keno Fischer
D. Barajas-Solano
...
Valentin Churavy
A. Tartakovsky
Michael Houston
P. Prabhat
George Karniadakis
AI4CE
47
38
0
29 Oct 2019
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