Avalanche: An End-to-End Library for Continual Learning

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 3600-3610


Learning continually from non-stationary data streams is a long-standing goal and a challenging problem in machine learning. Recently, we have witnessed a renewed and fast-growing interest in continual learning, especially within the deep learning community. However, algorithmic solutions are often difficult to re-implement, evaluate and port across different settings, where even results on standard benchmarks are hard to reproduce. In this work, we propose Avalanche, an open-source end-to-end library for continual learning research based on PyTorch. Avalanche is designed to provide a shared and collaborative codebase for fast prototyping, training, and reproducible evaluation of continual learning algorithms.

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[pdf] [arXiv]
@InProceedings{Lomonaco_2021_CVPR, author = {Lomonaco, Vincenzo and Pellegrini, Lorenzo and Cossu, Andrea and Carta, Antonio and Graffieti, Gabriele and Hayes, Tyler L. and De Lange, Matthias and Masana, Marc and Pomponi, Jary and van de Ven, Gido M. and Mundt, Martin and She, Qi and Cooper, Keiland and Forest, Jeremy and Belouadah, Eden and Calderara, Simone and Parisi, German I. and Cuzzolin, Fabio and Tolias, Andreas S. and Scardapane, Simone and Antiga, Luca and Ahmad, Subutai and Popescu, Adrian and Kanan, Christopher and van de Weijer, Joost and Tuytelaars, Tinne and Bacciu, Davide and Maltoni, Davide}, title = {Avalanche: An End-to-End Library for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3600-3610} }