Research Focus: Week of November 22, 2023
NEW RESEARCH
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
Dynamic sparsity is a technique used in machine learning to reduce computational and memory requirements while maintaining or improving performance. This can be particularly useful when computational resources are limited, such as