In this work, we investigate exemplar-free class incremental learning (C...
The main goal of Few-Shot learning algorithms is to enable learning from...
Few-shot models aim at making predictions using a minimal number of labe...
Processing of missing data by modern neural networks, such as CNNs, rema...
Predicting future states or actions of a given system remains a fundamen...
We consider the problem of estimating the conditional probability
distri...