Co-occurring keywords · papers mentioning both
Papers
kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
ICLR 2025
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
NeurIPS 2024
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
ICLR 2023
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
NeurIPS 2022
Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors
AISTATS 2021