Research map / Optimization / Implicit bias and generalization
Projective Manifold Gradient Layer for Deep Rotation Regression
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- RMLR: Extending Multinomial Logistic Regression into General Geometries (NeurIPS 2024 · similarity 0.87)
- Building Transformation Layers for Riemannian Neural Networks (NeurIPS 2026 · similarity 0.86)
- Matrix Manifold Neural Networks++ (ICLR 2024 · similarity 0.86)
- Riemannian coordinate descent algorithms on matrix manifolds (ICML 2024 · similarity 0.85)
- Learning with 3D rotations, a hitchhiker's guide to SO(3) (ICML 2024 · similarity 0.85)
- Riemannian Geometric-based Meta Learning (AAAI 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.