Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
Read the original on arXiv Machine Learning →arXiv:2605. 22350v2 Announce Type: replace Abstract: Ensembles of neural networks typically outperform individual networks but incur large computational costs, whereas weight aggregation produces less costly, yet also less accurate, aggregate models.
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