Noise Contrastive Priors for Functional Uncertainty

By Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson. 2018

109 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Alexander Amini
2. Wilko Schwarting
3. Ava P. Soleimany
4. Daniela Rus
5. Farhad Pourpanah
6. Moloud Abdar
7. Abbas Khosravi
8. U. Rajendra Acharya

Citations in the corpus

• Deep Evidential Regression (2019, background): “Our work builds on a large history of uncertainty estimation [25, 38, 37, 19] and modelling probability distributions using NNs [36, 4, 14, 26].”
• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020, background): “[14] presented noise contrastive priors (NCPs) to estimate consistent uncertainty.”