2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
ICLR 2019poster
The ability to generalize quickly from few observations is crucial for intelligent systems. In this paper we introduce APL, an algorithm that approximates probability distributions by remembering the most surprising observations it has encountered. These past observations are recalled from an extern…