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Found 2 papers, 1 papers with code
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
The Mixture of Experts (MoE) is a widely known neural architecture where an ensemble of specialized sub-models optimizes overall performance with a constant computational cost.
High Probability Bounds for Stochastic Continuous Submodular Maximization
This implies that for a particular run of the algorithms, the solution may be much worse than the provided guarantee in expectation.
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