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A Neural Tangent Kernel Perspective of GANs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add non-zero bias to the ReLU discriminator (ablation) | GANs with ReLU discriminators · 8-Gaussian distribution | distribution convergence | Helped |
| Use an infinite-width ReLU discriminator instead of a finite-width one (ablation) | GANs with ReLU discriminators · 8-Gaussian distribution | distribution convergence | Helped |
| Use an NTK instead of the RBF kernel (ablation) | Infinite-width GAN analysis · 8-Gaussian distribution | distribution convergence | Helped |
| Use an infinite-width IPM discriminator with a ReLU activation | GANs · 8-Gaussian distribution | distribution match | Helped |
| Model finite-width discriminator training with its infinite-width NTK | GAN discriminator analysis · Fixed distributions | discriminator behavior agreement | Helped |
Closest papers by meaning
- On the Limitations of First-Order Approximation in GAN Dynamics (ICML 2018 · similarity 0.92)
- Instability and Local Minima in GAN Training with Kernel Discriminators (NeurIPS 2022 · similarity 0.92)
- A Large-Scale Study on Regularization and Normalization in GANs (ICML 2019 · similarity 0.91)
- Are GANs Created Equal? A Large-Scale Study (NeurIPS 2018 · similarity 0.91)
- Improving Generalization and Stability of Generative Adversarial Networks (ICLR 2019 · similarity 0.91)
- A Convex Duality Framework for GANs (NeurIPS 2018 · similarity 0.91)
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