[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
-
Updated
Jan 17, 2026 - Cuda
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
Add a description, image, and links to the mlsys topic page so that developers can more easily learn about it.
To associate your repository with the mlsys topic, visit your repo's landing page and select "manage topics."