Apr 21, 2020 · Abstract: Machine learning techniques have become pervasive through many technical fields but an obstacle for employment is often the criterion ...
Apr 20, 2020 · Robustness can have many facets; some of them are covered by this timely special issue that represents the state of the art from a design and ...
From the EIC: Robust Machine Learning. https://doi.org/10.1109/mdat.2020.2984228. Journal: IEEE Design & Test, 2020, № 2, p. 4-4.
Special Issue on "Robust Machine Learning". Keynote by Sanjit A. Seshia, Somesh Jha, and Tommaso Dreossi "Semantic Adversarial Deep Learning ".
People also ask
What is robust machine learning?
Which method describes how a machine learns using the reinforcement machine learning model?
$144.83 In stock Rating
(1)
This book explains in simple terms what it means for a distributed machine learning scheme to be robust to these threats, and how to build provably robust ...
Missing: EIC: | Show results with:EIC:
May 25, 2024 · This project aims to develop a scalable, distributed AI-assisted detector design for the EIC (AID(2)E), employing state-of-the-art ...
Principles and methods for Robust ML; Quantification and verification of Robust ML; Applications in health, environmental sciences, design, autonomous vehicles, ...
Missing: EIC: | Show results with:EIC:
May 28, 2021 · Here we demonstrate that combining a data-driven methodology with some general physical principles enables discovery of a quantitatively accurate model.
Federated learning enables multiple medical institutions to jointly train and validate state-of-the-art machine learning models to improve patient outcomes ...
Missing: EIC: | Show results with:EIC:
Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, ...
Missing: EIC: | Show results with:EIC: