ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.04862
  4. Cited By
Towards Principled Methods for Training Generative Adversarial Networks

Towards Principled Methods for Training Generative Adversarial Networks

17 January 2017
Martín Arjovsky
M. Nault
    GAN
ArXivPDFHTML

Papers citing "Towards Principled Methods for Training Generative Adversarial Networks"

45 / 295 papers shown
Title
Enhancing Underwater Imagery using Generative Adversarial Networks
Enhancing Underwater Imagery using Generative Adversarial Networks
C. Fabbri
M. Islam
Junaed Sattar
GAN
24
562
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
43
1,453
0
04 Jan 2018
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs
  and GANs
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
Xing Di
Vishal M. Patel
CVBM
GAN
39
35
0
30 Dec 2017
How Well Can Generative Adversarial Networks Learn Densities: A
  Nonparametric View
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View
Tengyuan Liang
GAN
21
37
0
21 Dec 2017
Simulating Patho-realistic Ultrasound Images using Deep Generative
  Networks with Adversarial Learning
Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning
Francis Tom
Debdoot Sheet
GAN
MedIm
24
72
0
21 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
39
138
0
04 Dec 2017
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
51
1,344
0
30 Nov 2017
Visual Feature Attribution using Wasserstein GANs
Visual Feature Attribution using Wasserstein GANs
Christian F. Baumgartner
Lisa M. Koch
K. Tezcan
Jia Xi Ang
E. Konukoglu
GAN
MedIm
47
145
0
24 Nov 2017
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
35
35
0
17 Nov 2017
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBM
GAN
29
23
0
14 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRL
GAN
42
78
0
14 Nov 2017
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a
  Generative Adversarial Neural Network
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
Chaoyun Zhang
Xi Ouyang
P. Patras
38
68
0
07 Nov 2017
Adversarial Semi-Supervised Audio Source Separation applied to Singing
  Voice Extraction
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
Daniel Stoller
Sebastian Ewert
S. Dixon
28
72
0
31 Oct 2017
Semantic Interpolation in Implicit Models
Semantic Interpolation in Implicit Models
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
35
17
0
31 Oct 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
38
596
0
31 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
26
208
0
23 Oct 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,973
0
19 Oct 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRL
GAN
38
70
0
06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution
  Matching
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li
Hao Liu
Changyou Chen
Yunchen Pu
Liqun Chen
Ricardo Henao
Lawrence Carin
GAN
FedML
40
220
0
05 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
46
57
0
04 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
30
246
0
01 Sep 2017
On denoising autoencoders trained to minimise binary cross-entropy
On denoising autoencoders trained to minimise binary cross-entropy
Antonia Creswell
Kai Arulkumaran
Anil A. Bharath
27
72
0
28 Aug 2017
ChemGAN challenge for drug discovery: can AI reproduce natural chemical
  diversity?
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Mostapha Benhenda
GAN
19
102
0
28 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
32
19
0
05 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
M. Kalra
Ge Wang
GAN
MedIm
32
1,188
0
03 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
26
946
0
28 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
On the Limitations of First-Order Approximation in GAN Dynamics
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li
A. Madry
John Peebles
Ludwig Schmidt
25
55
0
29 Jun 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
46
348
0
13 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using
  Generative Adversarial Networks
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
19
123
0
07 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRL
GAN
41
127
0
02 Jun 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
43
455
0
30 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial
  Networks
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue
Zachary Chase Lipton
Akshay Balsubramani
Julian McAuley
GAN
35
120
0
22 May 2017
Stabilizing GAN Training with Multiple Random Projections
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur
Srinadh Bhojanapalli
Ayan Chakrabarti
10
82
0
22 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
24
53
0
15 May 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
26
515
0
08 May 2017
Multi-Agent Diverse Generative Adversarial Networks
Multi-Agent Diverse Generative Adversarial Networks
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
Philip Torr
P. Dokania
GAN
25
304
0
10 Apr 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy
  Risks in Images
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Rakshith Shetty
Bernt Schiele
Mario Fritz
35
223
0
30 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
23
242
0
22 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
40
1,377
0
24 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
63
4,809
0
26 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
350
0
23 Jan 2017
Message Passing Multi-Agent GANs
Message Passing Multi-Agent GANs
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
AI4CE
GAN
23
18
0
05 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,941
0
24 Oct 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
Previous
123456