Nov 18, 2021 · In this paper, we show that it is possible to induce a fixed sparse mask on the model's parameters that selects a subset to update over many ...
We propose FISH Mask, a method for precomputing a sparse subset of parameters to update over many subsequent training iterations. To construct the FISH Mask, we ...
Jun 10, 2024 · A brain-inspired algorithm for training highly sparse neural networks. Abstract. Sparse neural networks attract increasing interest as they ...
Nov 9, 2021 · We introduce a method for pre-computing a fixed mask that selects a subset of network parameters to update, alleviating storage and communication costs.
Nov 18, 2021 · We propose FISH Mask, a method for precomputing a sparse subset of parameters to update over many subsequent training iterations. To construct ...
Nov 18, 2021 · This paper shows that it is possible to induce a fixed sparse mask on the model's parameters that selects a subset to update over many ...
This repo contains the code for Fisher Induced Sparse uncHanging (FISH) Mask training, from "Training Neural Networks with Fixed Sparse Masks" by Yi-Lin Sung, ...
We provide a curated and easily adaptable training toolkit (ToST) for training ANY sparse mask from scratch: “ghost” skip-connection (injecting additional non- ...
Training Your Sparse Neural Network Better with Any Mask (ICML 2022) · Installation · How to create the sparse mask for various SOTA pruning methods ? · Pruning ...
Explore all code implementations available for Training Neural Networks with Fixed Sparse Masks.