Search Results for author:
Found 2 papers, 2 papers with code
Continual evaluation for lifelong learning: Identifying the stability gap
Contemporary evaluation protocols and metrics in continual learning are task-based and quantify the trade-off between stability and plasticity only at task transitions.
Avalanche: an End-to-End Library for Continual Learning
Learning continually from non-stationary data streams is a long-standing goal and a challenging problem in machine learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
