Research map / Architectures and efficiency / RNNs and normalization
FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
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
- Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update (NeurIPS 2021 · similarity 0.86)
- Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? (ICML 2024 · similarity 0.85)
- Fast Inference with Kronecker-Sparse Matrices (ICML 2025 · similarity 0.85)
- Sketching for Distributed Deep Learning: A Sharper Analysis (NeurIPS 2024 · similarity 0.84)
- Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms (ICLR 2024 · similarity 0.84)
- Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees (ICLR 2025 · similarity 0.84)
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.