Interpretable Continual Learning

By Tameem Adel, C. Nguyen, Richard E. Turner, Zoubin Ghahramani, Adrian Weller. 2018

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Benedikt Pfülb
2. Benedikt Bagus
3. Alexander Rainer Tassilo Gepperth
4. Timothée Lesort
5. Marc Masana
6. Martin Mundt
7. Tyler L. Hayes
8. James Smith

Citations in the corpus

• Continual Learning with Fully Probabilistic Models (2021, background): “Training and Evaluation Paradigms for CL In the context of CL, a wide range of training and evaluation paradigms are proposed, see [27, 28, 29, 30, 5, 31, 32].”