PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

computer vision and pattern recognition, 2018.

Cited by: 172|Bibtex|Views77|DOI:https://doi.org/10.1109/cvpr.2018.00810
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

This paper presents a method for adding multiple tasks to a single deep neural network while avoiding catastrophic forgetting. Inspired by network pruning techniques, we exploit redundancies in large deep networks to free up parameters that can then be employed to learn new tasks. By performing iterative pruning and network re-training, w...More

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