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Static sparse training aims to train sparse models from scratch, achieving remarkable results in recent years. A key design choice is given by the sparse initialization, which determines the trainable sub-network through a binary mask. Existing metho
Externí odkaz:
http://arxiv.org/abs/2406.01755