Grouping neurons into blocks of size 2 with shared weights trims training time by 30 to 43 percent with accuracy losses of 1 to 4 percent on two datasets, by the paper's own measurements.
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A Topological Improvement of the Overall Performance of Sparse Evolutionary Training: Motif-Based Structural Optimization of Sparse MLPs Project
Grouping neurons into blocks of size 2 with shared weights trims training time by 30 to 43 percent with accuracy losses of 1 to 4 percent on two datasets, by the paper's own measurements.