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SSRNML & AI Methods

Pruning CNNs for Prediction

A study investigates the uncertainty of predictions from pruned neural network models in the context of conformal prediction, with a focus on filter-level pruning in convolutional neural networks.

Featured in No. 47 on 1 May 2024 · 3 days after release

Released
28 Apr 2024
First featured
No. 47 · 1 May 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4810047

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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