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HexaGAN: Generative Adversarial Nets for Real World Classification
v1v2 (latest)

HexaGAN: Generative Adversarial Nets for Real World Classification

International Conference on Machine Learning (ICML), 2019
26 February 2019
Uiwon Hwang
Dahuin Jung
Sungroh Yoon
    GAN
ArXiv (abs)PDFHTML

Papers citing "HexaGAN: Generative Adversarial Nets for Real World Classification"

14 / 14 papers shown
Electric Vehicle Identification from Behind Smart Meter Data
Electric Vehicle Identification from Behind Smart Meter Data
Ammar Kamoona
Hui Song
Ali Moradi Amani
Mahdi Jalili
Xinghuo Yu
Peter McTaggart
147
0
0
11 Sep 2025
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
Bo Li
Yingqi Feng
Ming Jin
Xin-Yang Zheng
Yufei Tang
...
Qinghua Lu
Jingwei Yao
Shirui Pan
H. Zhang
Xingquan Zhu
DiffM
160
1
0
29 Aug 2025
Generative Adversarial Classification Network with Application to
  Network Traffic Classification
Generative Adversarial Classification Network with Application to Network Traffic ClassificationGlobal Communications Conference (GLOBECOM), 2021
Rozhina Ghanavi
Ben Liang
A. Tizghadam
AI4TS
233
3
0
19 Mar 2023
ClueGAIN: Application of Transfer Learning On Generative Adversarial
  Imputation Nets (GAIN)
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)
Simiao Zhao
GAN
166
1
0
06 Feb 2023
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation
  and Prediction
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and PredictionStatistical Theory and Related Fields (STRF), 2022
Fang Fang
Shenliao Bao
AI4CEGAN
188
10
0
09 Mar 2022
Anomaly Detection of Defect using Energy of Point Pattern Features
  within Random Finite Set Framework
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set FrameworkEngineering applications of artificial intelligence (EAAI), 2021
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
200
19
0
27 Aug 2021
Stein Latent Optimization for Generative Adversarial Networks
Stein Latent Optimization for Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2021
Uiwon Hwang
Heeseung Kim
Dahuin Jung
Hyemi Jang
Hyungyu Lee
Sungroh Yoon
GAN
682
2
0
09 Jun 2021
Evaluation of Point Pattern Features for Anomaly Detection of Defect
  within Random Finite Set Framework
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set FrameworkIEEE Access (IEEE Access), 2021
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
3DPC
171
9
0
03 Feb 2021
Information-Theoretic Visual Explanation for Black-Box Classifiers
Information-Theoretic Visual Explanation for Black-Box Classifiers
Jihun Yi
Eunji Kim
Siwon Kim
Sungroh Yoon
FAtt
217
6
0
23 Sep 2020
A Deep Learning Framework for Generation and Analysis of Driving
  Scenario Trajectories
A Deep Learning Framework for Generation and Analysis of Driving Scenario TrajectoriesSN Computer Science (SCS), 2020
A. Demetriou
Henrik Alfsvåg
Sadegh Rahrovani
Morteza Haghir Chehreghani
233
66
0
28 Jul 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDaAI4CE
505
18
0
27 May 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models
Minority Class Oversampling for Tabular Data with Deep Generative Models
R. Camino
Christian A. Hammerschmidt
R. State
264
2
0
07 May 2020
Deep Synthetic Minority Over-Sampling Technique
Deep Synthetic Minority Over-Sampling Technique
Hadi Mansourifar
W. Shi
199
42
0
22 Mar 2020
Training Normalizing Flows with the Information Bottleneck for
  Competitive Generative Classification
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
Lynton Ardizzone
Radek Mackowiak
Ullrich Kothe
Carsten Rother
UQCV
441
4
0
17 Jan 2020
1
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