Research map / Architectures and efficiency / RNNs and normalization
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
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
- Advancing Dynamic Sparse Training by Exploring Optimization Opportunities (ICML 2024 · similarity 0.91)
- Navigating Extremes: Dynamic Sparsity in Large Output Spaces (NeurIPS 2024 · similarity 0.90)
- Dynamic Sparse Training with Structured Sparsity (ICLR 2024 · similarity 0.89)
- Dynamic Sparse Training of Diagonally Sparse Networks (ICML 2025 · similarity 0.89)
- Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (ICLR 2025 · similarity 0.88)
- Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency (ICML 2024 · similarity 0.88)
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.
