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cs.LG2024★ 1 cited
Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition
Cem Üyük, Mike Lasby, Mohamed Yassin +2
Large neural networks achieve state-of-the-art performance on many tasks, yet their sheer size hinders deployment on resource-constrained devices. Among existing compression approa…
cs.LG2024
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Nasib Ullah, Erik Schultheis, Mike Lasby +2
In recent years, Dynamic Sparse Training (DST) has emerged as an alternative to post-training pruning for generating efficient models. In principle, DST allows for a more memory ef…