Description
Various projects in continual learning are available: in the context of both recurrent and feedforward networks, and in supervised and reinforcement learning.
Some examples of possible thesis topics:
- Learning to continually learn, similar to (Shawn et al. 2020) but using recurrent networks and more principled (but also biologically plausible) approaches for meta-learning to continually learn.
- Understanding catastrophic forgetting in deep networks from a loss landscape view using methods like (Li et al. 2018)