PacGAN: The power of two samples in generative adversarial networks

12 December 2017

Papers citing "PacGAN: The power of two samples in generative adversarial networks"

50 / 51 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 61 3 0 18 Mar 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 86 0 0 13 Mar 2025
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction Nguyen Thach P. Habecker Bergen Johnston Lillianna Cervantes Anika R. Eisenbraun Alex Mason Kimberly Tyler Bilal Khan Hau Chan 26 0 0 17 Jul 2024
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 39 1 0 28 Jul 2023
A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation Louis Airale Dominique Vaufreydaz Xavier Alameda-Pineda 23 1 0 04 Jul 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 28 0 0 24 Apr 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 24 1 0 05 Mar 2023
Summary Statistic Privacy in Data Sharing Zinan Lin Shuaiqi Wang Vyas Sekar Giulia Fanti 43 7 0 03 Mar 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks Yanxiang Gong Zhiwei Xie Guozhen Duan Z. Ma M. Xie GAN OffRL 27 3 0 03 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 25 16 0 27 Nov 2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation Louis Airale Xavier Alameda-Pineda Stéphane Lathuilière Dominique Vaufreydaz 25 3 0 02 Nov 2022
iCTGAN--An Attack Mitigation Technique for Random-vector Attack on Accelerometer-based Gait Authentication Systems J. Mo Rajesh Kumar 15 2 0 02 Oct 2022
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 32 8 0 31 Aug 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 24 26 0 03 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou Qi Cao Yige Yuan Songtao Zhao Chongyang Ma Siyuan Pan Pengfei Wan Xiaoshuang Li Huawei Shen Xueqi Cheng 23 7 0 31 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 13 2 0 11 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 27 78 0 01 Apr 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Overcoming Mode Collapse with Adaptive Multi Adversarial Training K. Mangalam Rohin Garg GAN 34 13 0 29 Dec 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi Ma 25 30 0 12 Nov 2021
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid Yogesh Kulkarni Sayf Hussain Z K. Ramamritham Nivethitha Somu 22 5 0 09 Oct 2021
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 32 2 0 24 Sep 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 209 133 0 10 Sep 2021
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study Zhenyu Wu Zhaowen Wang Ye Yuan Jianming Zhang Zhangyang Wang Hailin Jin 37 4 0 23 Jul 2021
Creating synthetic night-time visible-light meteorological satellite images using the GAN method Wencong Cheng GAN 21 4 0 21 Jul 2021
Improved Transformer for High-Resolution GANs Long Zhao Zizhao Zhang Ting Chen Dimitris N. Metaxas Han Zhang ViT 34 95 0 14 Jun 2021
Towards A Multi-agent System for Online Hate Speech Detection Gaurav Sahu R. Cohen Olga Vechtomova 13 9 0 03 May 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 123 198 0 16 Feb 2021
Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký David Hurych Michal Uřičář P. Pérez Josef Sivic 3DH 21 15 0 15 Dec 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 30 4 0 24 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 26 125 0 11 Sep 2020
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks Marie-Pier Côté Brian Hartman Olivier Mercier Joshua Meyers Jared Cummings Elijah Harmon GAN SyDa 33 8 0 13 Aug 2020
Diverse Image Generation via Self-Conditioned GANs Steven Liu Tongzhou Wang David Bau Jun-Yan Zhu Antonio Torralba SyDa 27 107 0 18 Jun 2020
On Positive-Unlabeled Classification in GAN Tianyu Guo Chang Xu Jiajun Huang Yunhe Wang Boxin Shi Chao Xu Dacheng Tao GAN 18 35 0 04 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN) Petru Soviany Claudiu Ardei Radu Tudor Ionescu Marius Leordeanu GAN 16 47 0 20 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 21 61 0 09 Oct 2019
Twin Auxiliary Classifiers GAN Biwei Huang Yanwu Xu Chunyuan Li Kuncai Zhang Kayhan Batmanghelich 16 33 0 05 Jul 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 51 1,206 0 01 Jul 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 30 52 0 09 Feb 2019
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 26 64 0 30 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 24 79 0 08 Nov 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 18 129 0 16 Oct 2018
BourGAN: Generative Networks with Metric Embeddings Chang Xiao Peilin Zhong Changxi Zheng GAN 18 69 0 19 May 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training Duhyeon Bang Hyunjung Shim GAN 30 77 0 12 Apr 2018