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Showing cs.LGShow all
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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…