Feb 16, 2023 · At first, this article introduces the basic procedure of the geometric optimization, including various geometric optimizers and some concepts of ...
5 days ago · This article also includes a performance comparison among different deep geometric optimization methods in image recognition scenarios. Finally, ...
This article investigates the application of geometric optimization in different DL networks in various AI tasks, e.g., convolution neural network, ...
Feb 16, 2023 · Riemannian manifold has a differentiable structure and is equipped with smooth inner product and Riemannian gradients, which are different from ...
4 days ago · This article presents a comprehensive survey of applying geometric optimization in DL, including the basic procedure of geometric optimization, ...
This article also includes a performance comparison among different deep geometric optimization methods in image recognition scenarios. Finally, this article ...
At first, this article introduces the basic procedure of the geometric optimization, including various geometric optimizers and some concepts of Riemannian ...
At first, this article introduces the basic procedure of the geometric optimization, including various geometric optimizers and some concepts of Riemannian ...
Feb 16, 2023 · Riemannian-based DL uses geometric optimization to update parameters on Riemannian manifolds. This article surveys the application of geometric ...
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How is Riemannian manifold different from Euclidean manifold?
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Feb 19, 2023 · A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold https://ai.papers.bar/paper/6075e14a ...