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2001.03653
Cited By
Towards GAN Benchmarks Which Require Generalization
International Conference on Learning Representations (ICLR), 2020
10 January 2020
Ishaan Gulrajani
Colin Raffel
Luke Metz
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HuggingFace (1 upvotes)
Papers citing
"Towards GAN Benchmarks Which Require Generalization"
40 / 40 papers shown
Survey on the Evaluation of Generative Models in Music
ACM Computing Surveys (ACM Comput. Surv.), 2025
Alexander Lerch
Claire Arthur
Nick Bryan-Kinns
Corey Ford
Qianyi Sun
Ashvala Vinay
713
7
0
05 Jun 2025
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
William Corrias
Fabio De Gaspari
Dorjan Hitaj
L. Mancini
389
1
0
23 Apr 2025
Style Quantization for Data-Efficient GAN Training
Computer Vision and Pattern Recognition (CVPR), 2025
Jian Wang
Xin Lan
Jizhe Zhou
Yuxin Tian
Jiancheng Lv
314
3
0
31 Mar 2025
MS
3
^3
3
D: A RG Flow-Based Regularization for GAN Training with Limited Data
International Conference on Machine Learning (ICML), 2024
Jian Wang
Xin Lan
Yuxin Tian
Jiancheng Lv
AI4CE
233
2
0
20 Aug 2024
Detecting Generative Parroting through Overfitting Masked Autoencoders
Saeid Asgari Taghanaki
Joseph Lambourne
324
1
0
27 Mar 2024
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Network and Distributed System Security Symposium (NDSS), 2023
Jung-Woo Chang
Ke Sun
Nasimeh Heydaribeni
Seira Hidano
Xinyu Zhang
F. Koushanfar
AAML
330
2
0
01 Nov 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
International Conference on Machine Learning (ICML), 2023
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
445
3
0
31 Jul 2023
Improving few-shot learning-based protein engineering with evolutionary sampling
bioRxiv (bioRxiv), 2023
M. Jawaid
Robin W. Yeo
Aayushma Gautam
T. B. Gainous
Daniel O. Hart
Timothy P. Daley
194
2
0
23 May 2023
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
Computer Vision and Pattern Recognition (CVPR), 2023
Kaiwen Cui
Yingchen Yu
Fangneng Zhan
Tianran Ouyang
Shijian Lu1
Eric P. Xing
VLM
328
26
0
30 Mar 2023
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
International Journal of Computer Vision (IJCV), 2023
Xingzhe Su
Jingyao Wang
Jie Hu
Feng Wu
Changwen Zheng
Gang Hua
GAN
326
9
0
09 Mar 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
B. V. Breugel
Hao Sun
Zhaozhi Qian
M. Schaar
258
78
0
24 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Marco Jiralerspong
A. Bose
I. Gemp
Chongli Qin
Yoram Bachrach
Gauthier Gidel
EGVM
657
25
0
09 Feb 2023
A Mathematical Framework for Learning Probability Distributions
Journal of Machine Learning (JML), 2022
Hongkang Yang
366
9
0
22 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Gowthami Somepalli
Vasu Singla
Micah Goldblum
Jonas Geiping
Tom Goldstein
574
460
0
07 Dec 2022
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection
Andrew Bai
Cho-Jui Hsieh
Wendy Kan
Hsuan-Tien Lin
GAN
351
5
0
21 Oct 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
Neural Information Processing Systems (NeurIPS), 2022
Antoine Salmona
Valentin De Bortoli
J. Delon
A. Desolneux
DiffM
396
48
0
29 Jun 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models
Physical Review Applied (Phys. Rev. Appl.), 2022
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
378
10
0
21 Jan 2022
Optimal 1-Wasserstein Distance for WGANs
Bernoulli (Bernoulli), 2022
Arthur Stéphanovitch
Ugo Tanielian
B. Cadre
N. Klutchnikoff
Gérard Biau
OT
GAN
251
5
0
08 Jan 2022
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data
Kaiwen Cui
Jiaxing Huang
Zhipeng Luo
Gongjie Zhang
Fangneng Zhan
Shijian Lu
275
42
0
04 Oct 2021
Generalization Error of GAN from the Discriminator's Perspective
Research in the Mathematical Sciences (Res. Math. Sci.), 2021
Hongkang Yang
Weinan E
GAN
321
16
0
08 Jul 2021
Are conditional GANs explicitly conditional?
British Machine Vision Conference (BMVC), 2021
Houssem-eddine Boulahbal
A. Voicila
Andrew I. Comport
GAN
362
1
0
28 Jun 2021
On Memorization in Probabilistic Deep Generative Models
Neural Information Processing Systems (NeurIPS), 2021
G. V. D. Burg
Christopher K. I. Williams
TDI
364
83
0
06 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
Knowledge Discovery and Data Mining (KDD), 2021
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
210
40
0
06 Jun 2021
Compositional Fine-Grained Low-Shot Learning
Dat T. Huynh
Ehsan Elhamifar
180
6
0
21 May 2021
Understanding Overparameterization in Generative Adversarial Networks
International Conference on Learning Representations (ICLR), 2021
Yogesh Balaji
M. Sajedi
Neha Kalibhat
Mucong Ding
Dominik Stöger
Mahdi Soltanolkotabi
Soheil Feizi
AI4CE
270
23
0
12 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Computer Vision and Pattern Recognition (CVPR), 2021
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
306
171
0
07 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
882
663
0
08 Mar 2021
Generalization and Memorization: The Bias Potential Model
Mathematical and Scientific Machine Learning (MSML), 2020
Hongkang Yang
E. Weinan
405
13
0
29 Nov 2020
Toward a Generalization Metric for Deep Generative Models
Hoang Thanh-Tung
T. Tran
283
5
0
02 Nov 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Hongjun Wang
Guanbin Li
Xiaobai Liu
Liang Lin
GAN
AAML
253
27
0
15 Oct 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting
Journal of Instrumentation (JINST), 2020
Yuan-Tang Chou
E. Eren
Gregor Kasieczka
A. Korol
Benjamin Nachman
David Shih
258
50
0
03 Sep 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
R. Prudden
Samantha V. Adams
D. Kangin
Nial H. Robinson
Suman V. Ravuri
S. Mohamed
A. Arribas
AI4Cl
OffRL
270
58
0
11 May 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models
Casey Meehan
Kamalika Chaudhuri
S. Dasgupta
189
73
0
12 Apr 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
Samarth Sinha
Zhengli Zhao
Anirudh Goyal
Colin Raffel
Augustus Odena
406
8
0
14 Feb 2020
Fair Generative Modeling via Weak Supervision
International Conference on Machine Learning (ICML), 2019
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
359
159
0
26 Oct 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
238
131
0
23 Jun 2019
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
International Conference on Learning Representations (ICLR), 2019
Amartya Sanyal
Juil Sock
P. Dokania
209
57
0
11 Jun 2019
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton
Zois Boukouvalas
M. Fuge
Peter W. Chung
AI4CE
3DV
357
347
0
11 Mar 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
222
105
0
09 Jan 2019
How does Lipschitz Regularization Influence GAN Training?
European Conference on Computer Vision (ECCV), 2018
Yipeng Qin
Niloy Mitra
Peter Wonka
AI4CE
284
18
0
23 Nov 2018
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