Work

Quantification of Predictive Uncertainty via Inference-Time Sampling

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-16749-2_2

Authors: Katarína Tóthová, Ľubor Ladický, Daniel Thul, Marc Pollefeys, Ender Konukoglu

Institutions: ETH Zurich, Microsoft (Switzerland)

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Medical Research Council

Award: G5850737185

OpenAlex ID: W4296193299

FWCI: 0.138

Cites: 42

Cited by: 1

Related to: 10