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On Learning the Geodesic Path for Incremental Learning

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

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Abstract

Neural networks notoriously suffer from the problem of catastrophic forgetting, the phenomenon of forgetting the past knowledge when acquiring new knowledge. Overcoming catastrophic forgetting is of significant importance to emulate the process of "incremental learning", where the model is capable of learning from sequential experience ...More

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Author
Christian Simon
Christian Simon
Piotr Koniusz
Piotr Koniusz
Mehrtash Harandi
Mehrtash Harandi
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