Interesting work in Continual Learning, please add any I missed.

I’m a postdoctoral researcher and one of the topics I’ve been looking into is Continual Learning. This remains one of the fundamental topics in AI as it’s still “unsolved” but thought of sharing some of the cool research I’ve come across. Hope this helps with your research / side projects and feel free to add if I missed anything.

1. Meta’s research on Continuous Learning via Sparse Memory Finetuning
2. Google Deepmind’s new ML paradigm Nested Learning
3. Skyfall AI’s big world benchmark Morpheus
4. University of Alberta’s research on Loss of Plasticity in Deep Continual Learning

There’s not a lot of truly fascinating work done in this space but those are the main ones that I’m aware of.