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Understanding and Stabilizing GANs Training Dynamics Using Control Theory
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Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
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Stabilizing Transformers for Reinforcement Learning
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Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
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Stabilizing Equilibrium Models by Jacobian Regularization

Understanding and Stabilizing GANs Training Dynamics Using Control Theory

Stabilizing Differentiable Architecture Search via Perturbation-based Regularization

Stabilizing Transformers for Reinforcement Learning

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization