Dropout as a Bayesian approximation

Gal, Y., & Ghahramani, Z. (2016). Dropout as a Bayesian approximation: representing model uncertainty in deep learning. International Conference on Machine Learning, 1050-1059.

Type

Conference paper

Intellectual base

Primary research

Year

2016

Link

no authoritative link yet

Cited from

philosophy

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Uncertainty
  • Gal and Ghahramani (2016)

    This sourcePMLR. Gal-Ghahramani MC dropout Bayesian deep learning uncertainty.

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