Partial fusion interpolates between neural network ensembles and weight aggregation by only fusing the most similar neurons identified via partial optimal transport, enabling flexible cost-performance tradeoffs.
Proceedings of the National Academy of Sciences , volume =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
Partial fusion interpolates between neural network ensembles and weight aggregation by only fusing the most similar neurons identified via partial optimal transport, enabling flexible cost-performance tradeoffs.