24 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 17 cited
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker, Alexander New, Mario Aguilar-Simon +44
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks enc…
cs.LG2020★ 24 cited
Uncertainty-based Modulation for Lifelong Learning
Andrew Brna, Ryan Brown, Patrick Connolly +3
The creation of machine learning algorithms for intelligent agents capable of continuous, lifelong learning is a critical objective for algorithms being deployed on real-life syste…