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cs.LG2024
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
Vladimír Boža, Vladimír Macko
Neural networks are often challenging to work with due to their large size and complexity. To address this, various methods aim to reduce model size by sparsifying or decomposing w…
cs.CL2024★ 2 cited
Fast and Effective Weight Update for Pruned Large Language Models
Vladimír Boža
Pruning large language models (LLMs) is a challenging task due to their enormous size. The primary difficulty is fine-tuning the model after pruning, which is needed to recover the…