Research map / Optimization / Implicit bias and generalization
Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape
Read the paperCheck 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
- Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding (ICLR 2025 · similarity 0.92)
- Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures (ICLR 2026 · similarity 0.89)
- Efficiently testing local optimality and escaping saddles for ReLU networks (ICLR 2019 · similarity 0.89)
- Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs (NeurIPS 2022 · similarity 0.88)
- Topological obstruction to the training of shallow ReLU neural networks (NeurIPS 2024 · similarity 0.86)
- The Symmetries of Three-Layer ReLU Networks (NeurIPS 2026 · similarity 0.86)
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.
