most citedA Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2023★ 2 cited

A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold

Yanhong Fei, Xian Wei, Yingjie Liu +2

Although Deep Learning (DL) has achieved success in complex Artificial Intelligence (AI) tasks, it suffers from various notorious problems (e.g., feature redundancy, and vanishing…