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Frontiers | Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
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PDF] Stabilizing Training of Generative Adversarial Networks through Regularization | Semantic Scholar
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PDF] Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent | Semantic Scholar
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PDF] Stabilizing Training of Generative Adversarial Networks through Regularization | Semantic Scholar
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PDF] Stabilizing Training of Generative Adversarial Networks through Regularization | Semantic Scholar
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PDF] Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent | Semantic Scholar
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Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks | Scientific Reports
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PDF] Stabilizing Training of Generative Adversarial Networks through Regularization | Semantic Scholar
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Stabilizing Generative Adversarial Networks: A Look at WGAN, GPGAN, and SNGAN | by Yaniv Noema | imagescv | Jan, 2023 | Medium
GitHub - rothk/Stabilizing_GANs: Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"
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