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Generative Adversarial Network

Papers

Showing 13761400 of 3110 papers

TitleStatusHype
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks0
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification0
Generative Adversarial Networks for Recovering Missing Spectral Information0
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes0
Generative Adversarial Networks for Scintillation Signal Simulation in EXO-2000
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU0
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data0
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia0
Generative Adversarial Networks For Graph Data Imputation From Signed Observations0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-190
Generative Adversarial Networks for Imputing Sparse Learning Performance0
Generative Adversarial Networks for Pseudo-Radio-Signal Synthesis0
Generative Adversarial Networks for Video-to-Video Domain Adaptation0
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials0
Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations0
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments0
Generative Adversarial Network: Some Analytical Perspectives0
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit0
Generative Adversarial Networks to infer velocity components in rotating turbulent flows0
Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN0
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images0
Generative Adversarial Network Training is a Continual Learning Problem0
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network0
Feature Super-Resolution: Make Machine See More Clearly0
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