Search Results for author: Zelda E Mariet

Found 2 papers, 1 papers with code

Sparse MoEs meet Efficient Ensembles

1 code implementation7 Oct 2021 James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton

Machine learning models based on the aggregated outputs of submodels, either at the activation or prediction levels, often exhibit strong performance compared to individual models.

Few-Shot Learning

Distilling Ensembles Improves Uncertainty Estimates

no code implementations pproximateinference AABI Symposium 2021 Zelda E Mariet, Rodolphe Jenatton, Florian Wenzel, Dustin Tran

We seek to bridge the performance gap between batch ensembles (ensembles of deep networks with shared parameters) and deep ensembles on tasks which require not only predictions, but also uncertainty estimates for these predictions.

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