Understanding the Effectivity of Ensembles in Deep Learning

Sayak Pau
25
Aug
2020

The report explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

In the paper, the authors investigate the question - why do deep ensembles work better than single deep neural networks?

In their investigation, the authors figure out:

Inspired by their findings, in this report, we present several different insights that are useful for understanding the dynamics of deep neural networks in general.

Read the full post →

Join our mailing list to get the latest machine learning updates.