Towards GAN Benchmarks Which Require Generalization

10 January 2020

Papers citing "Towards GAN Benchmarks Which Require Generalization"

42 / 42 papers shown

Title
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark William Corrias Fabio De Gaspari Dorjan Hitaj L. Mancini 24 0 0 23 Apr 2025
Style Quantization for Data-Efficient GAN Training Jian Wang Xin Lan Jizhe Zhou Yuxin Tian Jiancheng Lv 34 0 0 31 Mar 2025
MS $^3$ D: A RG Flow-Based Regularization for GAN Training with Limited Data Jian Wang Xin Lan Yuxin Tian Jiancheng Lv AI4CE 30 1 0 20 Aug 2024
Detecting Generative Parroting through Overfitting Masked Autoencoders Saeid Asgari Taghanaki Joseph Lambourne 33 1 0 27 Mar 2024
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 17 1 0 01 Nov 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 28 2 0 31 Jul 2023
Improving few-shot learning-based protein engineering with evolutionary sampling M. Jawaid Robin W. Yeo Aayushma Gautam T. B. Gainous Daniel O. Hart Timothy P. Daley 24 0 0 23 May 2023
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation Kaiwen Cui Yingchen Yu Fangneng Zhan Shengcai Liao Shijian Lu1 Eric P. Xing VLM 41 19 0 30 Mar 2023
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation Xingzhe Su Wenwen Qiang Jie Hu Feng Wu Changwen Zheng Fuchun Sun GAN 26 5 0 09 Mar 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 21 45 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 24 5 0 09 Feb 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 16 7 0 22 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein 26 303 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 25 5 0 21 Oct 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 27 35 0 29 Jun 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 32 7 0 21 Jan 2022
Optimal 1-Wasserstein Distance for WGANs Arthur Stéphanovitch Ugo Tanielian B. Cadre N. Klutchnikoff Gérard Biau OT GAN 15 3 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 37 34 0 04 Oct 2021
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 38 13 0 08 Jul 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 20 58 0 06 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 16 34 0 06 Jun 2021
Compositional Fine-Grained Low-Shot Learning Dat T. Huynh Ehsan Elhamifar 16 4 0 21 May 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi N. Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 14 21 0 12 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 22 142 0 07 Apr 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 36 478 0 08 Mar 2021
Generalization and Memorization: The Bias Potential Model Hongkang Yang E. Weinan 17 11 0 29 Nov 2020
Toward a Generalization Metric for Deep Generative Models Hoang Thanh-Tung T. Tran 28 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 16 22 0 15 Oct 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 16 44 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 37 45 0 11 May 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models Casey Meehan Kamalika Chaudhuri S. Dasgupta 21 62 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 25 7 0 14 Feb 2020
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 28 134 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 26 123 0 23 Jun 2019
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Amartya Sanyal Philip H. S. Torr P. Dokania 25 43 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 19 326 0 11 Mar 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 14 98 0 09 Jan 2019
How does Lipschitz Regularization Influence GAN Training? Yipeng Qin Niloy Mitra Peter Wonka AI4CE 29 16 0 23 Nov 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016