Taxonomy of Machine Learning Safety: A Survey and Primer

no code implementations • 9 Jun 2021 • Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa

The open-world deployment of Machine Learning (ML) algorithms in safety-critical applications such as autonomous vehicles needs to address a variety of ML vulnerabilities such as interpretability, verifiability, and performance limitations.

Autonomous Vehicles BIG-bench Machine Learning +1

Shifting Transformation Learning for Out-of-Distribution Detection

no code implementations • 7 Jun 2021 • Sina Mohseni, Arash Vahdat, Jay Yadawa

In this paper, we propose a simple framework that leverages a shifting transformation learning setting for learning multiple shifted representations of the training set for improved OOD detection.

Anomaly Detection Contrastive Learning +3