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  • title: Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
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            Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
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            Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions

            Nov 28, 2022

            Speakers

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            Binghui Peng

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            AR

            Andrej Risteski

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            About

            Continual learning is an emerging paradigm in machine learning, wherein a model is exposed in an online fashion to data from multiple different distributions (i.e. environments), and is expected to adapt to the distribution change. Precisely, the goal is to perform well in the new environment, while simultaneously retaining the performance on the previous environments (i.e. avoid “catastrophic forgetting”).While this setup has enjoyed a lot of attention in the applied community, there hasn't be…

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            NeurIPS 2022

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