Continual Learning This is a PyTorch implementation of the continual learning experiments with deep neural networks described in the following article: Three types of incremental learning (2022, Nature Machine Intelligence) This repository mainly supports experiments in the academic continual learning settin...
This repository mainly supports experiments in the academic continual learning setting, whereby a classification-based problem is split up into multiple, non-overlapping contexts (or tasks, as they are often called) that must be learned sequentially. Some support is also provided for running more fle...
@inproceedings{AGEM, title={Efficient Lifelong Learning with A-GEM}, author={Chaudhry, Arslan and Ranzato, Marc’Aurelio and Rohrbach, Marcus and Elhoseiny, Mohamed}, booktitle={ICLR}, year={2019} } @article{chaudhryER_2019, title={Continual Learning with Tiny Episodic Memories}, author={...