Antonio Carta | "Avalanche: an End-to-End Library for Continual Learning"
Автор: AutoML Seminars
Загружено: 2022-04-14
Просмотров: 979
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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. 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 talk, we will briefly introduce continual learning. Then, we will present 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. Finally, we will discuss possible synergies between continual learning and AutoML research.
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