Model Fusion via Optimal Transport

12 Oct 2019Sidak Pal SinghMartin Jaggi

Combining different models is a widely used paradigm in machine learning applications. While the most common approach is to form an ensemble of models and average their individual predictions, this approach is often rendered infeasible by given resource constraints in terms of memory and computation, which grow linearly with the number of models... (read more)

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