A Survey of Geometric Optimization for Deep Learning: from Euclidean Space to Riemannian Manifold
ACM COMPUTING SURVEYS（2025）
Key words
Orthogonal projection,Stiefel manifold,Oblique manifold,Gra ss mann manifold,geometrical stochastic gradient algorithm,supervised discrimination learning,representation learning,sparse representation,dimension reduction,image retrieval,dictionary learning,geometric optimization,differential geometry,manifold parameterization,deep learning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined