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1711.10337
Cited By
Are GANs Created Equal? A Large-Scale Study
28 November 2017
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
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Papers citing
"Are GANs Created Equal? A Large-Scale Study"
50 / 199 papers shown
Title
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
32
43
0
20 Jan 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
44
35
0
19 Jan 2022
Automated causal inference in application to randomized controlled clinical trials
Ji Q. Wu
N. Horeweg
M. de Bruyn
R. Nout
I. Jürgenliemk-Schulz
...
H. Nijman
V. Smit
T. Bosse
C. Creutzberg
V. Koelzer
CML
34
14
0
15 Jan 2022
Optimal 1-Wasserstein Distance for WGANs
Arthur Stéphanovitch
Ugo Tanielian
B. Cadre
N. Klutchnikoff
Gérard Biau
OT
GAN
20
3
0
08 Jan 2022
on the effectiveness of generative adversarial network on anomaly detection
Laya Rafiee
T. Fevens
28
5
0
31 Dec 2021
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
C. Little
Mark Elliot
Richard Allmendinger
Sahel Shariati Samani
24
20
0
03 Dec 2021
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
29
8
0
12 Nov 2021
Sig-Wasserstein GANs for Time Series Generation
Hao Ni
Lukasz Szpruch
Marc Sabate Vidales
Baoren Xiao
Magnus Wiese
Shujian Liao
SyDa
AI4TS
19
73
0
01 Nov 2021
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach
Andrea Coletta
Matteo Prata
Michele Conti
Emanuele Mercanti
N. Bartolini
Aymeric Moulin
Svitlana Vyetrenko
T. Balch
GAN
19
44
0
25 Oct 2021
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen
Tien-Dung Cao
Tram Truong-Huu
Khanh Pham
Binh T. Nguyen
GAN
18
3
0
21 Oct 2021
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess
David Peter
Stefan A. Baur
J. Marius Zöllner
3DPC
34
2
0
24 Sep 2021
Scenario generation for market risk models using generative neural networks
Solveig Flaig
Gero Junike
GAN
32
10
0
21 Sep 2021
Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang
Radu Timofte
Luc Van Gool
22
32
0
07 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
59
639
0
30 Aug 2021
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac
A. Moody
A. Khademi
MedIm
27
0
0
14 Aug 2021
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg
Shuvam Chakraborty
Chris Cundy
Jiaming Song
Matthieu Geist
Stefano Ermon
51
178
0
23 Jun 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang
Xingyao Zhang
Shuaiwen Leon Song
Sara Hooker
25
75
0
22 Jun 2021
A Neural Tangent Kernel Perspective of GANs
Jean-Yves Franceschi
Emmanuel de Bézenac
Ibrahim Ayed
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
37
26
0
10 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
18
34
0
06 Jun 2021
What Matters for Adversarial Imitation Learning?
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
M. Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
49
77
0
01 Jun 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain
Bartosz Krawczyk
Nitesh V. Chawla
29
262
0
05 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
17
8
0
03 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
43
62
0
30 Apr 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs
Henning Schulze
Dogucan Yaman
Alexander Waibel
GAN
29
3
0
26 Apr 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation
Itzik Malkiel
Sangtae Ahn
V. Taviani
A. Menini
Lior Wolf
C. Hardy
MedIm
13
0
0
05 Apr 2021
MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
Jonas Denck
J. Guehring
Andreas Maier
E. Rothgang
GAN
MedIm
35
26
0
03 Apr 2021
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Jihyong Oh
Munchurl Kim
GAN
35
20
0
29 Mar 2021
Conditional Frechet Inception Distance
Michael Soloveitchik
Tzvi Diskin
E. Morin
A. Wiesel
EGVM
32
33
0
21 Mar 2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Jialun Peng
Dong Liu
Songcen Xu
Houqiang Li
DiffM
25
191
0
18 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
30
65
0
17 Mar 2021
Mean Field Game GAN
Shaojun Ma
Haomin Zhou
H. Zha
GAN
AI4CE
45
0
0
14 Mar 2021
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
33
220
0
09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
483
0
08 Mar 2021
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
Guy Ohayon
Theo Adrai
Gregory Vaksman
Michael Elad
P. Milanfar
GAN
44
37
0
06 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
16
48
0
02 Mar 2021
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier
Pierre Delaunay
Mirko Bronzi
Assya Trofimov
Brennan Nichyporuk
...
Dmitriy Serdyuk
Tal Arbel
C. Pal
Gaël Varoquaux
Pascal Vincent
34
149
0
01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
183
27,846
0
26 Feb 2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
Massimiliano Lupo Pasini
Vittorio Gabbi
Junqi Yin
S. Perotto
N. Laanait
GAN
AI4CE
24
3
0
21 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
59
186
0
17 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
29
383
0
14 Feb 2021
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
G. L. Moing
Phongtharin Vinayavekhin
Don Joven Agravante
Tadanobu Inoue
J. Vongkulbhisal
Asim Munawar
Ryuki Tachibana
25
9
0
10 Dec 2020
Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu
Zhiming Zhou
Guansong Lu
Jian Tang
Weinan Zhang
Yong Yu
21
1
0
07 Dec 2020
Differentially Private Synthetic Data: Applied Evaluations and Enhancements
Lucas Rosenblatt
Xiao-Yang Liu
Samira Pouyanfar
Eduardo de Leon
Anuj M. Desai
Joshua Allen
SyDa
26
64
0
11 Nov 2020
Unsupervised Learning of Disentangled Speech Content and Style Representation
Andros Tjandra
Ruoming Pang
Yu Zhang
Shigeki Karita
BDL
DRL
23
15
0
24 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
24
7
0
07 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
21
46
0
04 Oct 2020
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network
Chunhui Li
Xingshu Chen
Haizhou Wang
Yu Zhang
Peiming Wang
AAML
11
28
0
26 Aug 2020
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang
Alireza Makhzani
Yanshuai Cao
Roger C. Grosse
EGVM
DRL
8
27
0
15 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
30
153
0
06 Aug 2020
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
A. Demetriou
Henrik Alfsvåg
Sadegh Rahrovani
Morteza Haghir Chehreghani
27
37
0
28 Jul 2020
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