Catastrophic interference is common in many network-based learning syste...
Structural credit assignment for recurrent learning is challenging. An
a...
Predictive models – learned from observational data not covering the
com...
Gradient-based meta-learning has proven to be highly effective at learni...
Accurate models of patient survival probabilities provide important
info...
A continual learning agent should be able to build on top of existing
kn...
One of the key differences between the learning mechanism of humans and
...
The ability to learn from incrementally arriving data is essential for a...