Three New Mysteries Of Ensemble Learning Are Investigated By Microsoft Research Team

The following two theoretical concerns regarding ensemble learning are addressed by Microsoft Research: When we simply average over a few independently trained neural networks, how does ensemble boost test-time output in deep learning?How can the ensemble’s superior test-time performance be “distilled” into a single neural network of the same design by simply training the single

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