Search Results for author:
Found 4 papers, 0 papers with code
Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication
We show that these memory operations can be optimized by introducing a new CUDA kernel that minimizes the transfers between the different levels of GPU memory, achieving a median speed-up factor of x1. 4 while also reducing energy consumption (median of x0. 85).
Does a sparse ReLU network training problem always admit an optimum?
Then, the existence of a global optimum is proved for every concrete optimization problem involving a shallow sparse ReLU neural network of output dimension one.
Sparsity in neural networks can improve their privacy
This article measures how sparsity can make neural networks more robust to membership inference attacks.
Sparsity in neural networks can increase their privacy
This article measures how sparsity can make neural networks more robust to membership inference attacks.
