AITowards Data Scienceabout 19 hours ago
The Symmetry That Breaks Neural Network Averaging
1 min read
Neural network weight averaging fails because hidden units can be permuted, creating many equivalent solutions. A 512-unit layer yields roughly 10^1166 orderings per layer. Aligning permutations before averaging restores performance, as shown by Git Re-Basin and REPAIR methods.
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